Add POST /export/batch endpoint for multi-company ZIP download

Implements issue #1674: a new authenticated POST /export/batch endpoint
that accepts a list of company names and an optional format (csv or pdf),
compiles per-company exports into a ZIP archive using Python's zipfile
module, and returns it as a streaming download.

Key changes:
- Extract `_fetch_company_rows`, `_build_company_csv`, `_build_company_pdf`
  helpers to eliminate duplication between the single-company endpoints and
  the new batch endpoint
- Refactor `export_company_csv` and `export_company_pdf` to delegate to the
  new helpers
- Add `BatchExportRequest` Pydantic model (companies list + format field)
- Add `POST /export/batch` which iterates over companies, skips those with
  no data, writes per-company files into the ZIP, and always includes a
  `manifest.json` listing exported and skipped companies
- Response header: `Content-Disposition: attachment; filename=sparc-export-<date>.zip`
- 17 new tests covering: single company (CSV + PDF), multiple companies,
  all-missing, unauthenticated, invalid-token, manifest structure, input
  validation

Closes leeworks-agents/SPARC#1674

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

ROADMAP.md

@@ -7,86 +7,124 @@ Semiconductor Patent & Analytics Report Core -- development priorities.
 SPARC is a patent analysis platform with a working end-to-end pipeline:
 Python/FastAPI backend, React/TypeScript frontend, PostgreSQL for persistence
 and caching, Docker Compose for local development, and Gitea Actions CI/CD for
-image builds. Core features (patent retrieval via SerpAPI, PDF parsing, LLM
-analysis via OpenRouter/Claude, batch processing, JWT authentication, analytics
-dashboard) are all implemented and functional.
+image builds and testing. Core features include patent retrieval via SerpAPI,
+PDF parsing, LLM analysis via OpenRouter (multi-model: Claude, GPT-4o, Gemini,
+Llama), batch processing, JWT authentication, analytics dashboard with patent
+trend charts, scheduled recurring analysis with alerting, webhook notifications
+(Slack/Discord), CSV and PDF export, S3/MinIO storage, side-by-side company
+comparison, and dark mode.
+
+---
+
+## Completed
+
+Items that have been implemented and merged into main.
+
+### Security hardening
+
+- ~~Rotate default JWT secret.~~ Startup check refuses to start with the
+  default secret in non-development environments.
+- ~~CORS allow-origins are hardcoded.~~ Allowed origins are now configurable
+  via environment variable.
+- ~~Database credentials in docker-compose.yml.~~ Compose references `.env`
+  for sensitive values.
+
+### Error handling and resilience
+
+- ~~`get_db_client()` creates a new `DatabaseClient` on every call.~~ Refactored
+  to a shared pooled singleton initialized at startup.
+- ~~No rate limiting on auth endpoints.~~ Rate limiting middleware added to
+  `/auth/login` and `/auth/register`.
+
+### Test coverage
+
+- ~~API tests bypass authentication.~~ JWT auth integration tests added (33
+  cases covering registration, login, protected routes, token refresh, and
+  admin-only endpoints).
+- ~~No test stage in CI.~~ Gitea Actions workflow now runs `pytest` and gates
+  the build.
+- ~~No linting or type checking in CI.~~ `ruff` (Python) and `tsc --noEmit`
+  (TypeScript) added to CI pipeline.
+
+### Backend
+
+- ~~Add structured logging.~~ Python `logging` module used throughout.
+- ~~Make LLM model configurable.~~ `MODEL` environment variable accepted;
+  multi-model support with per-analysis selection (GPT-4o, Gemini, Claude,
+  Llama).
+- ~~SERP cache TTL hardcoded.~~ `SERP_CACHE_TTL_HOURS` exposed as env var.
+- ~~Patent PDF storage.~~ S3/MinIO object storage backend added alongside
+  local filesystem. Volume mount requirement documented.
+- ~~`analyze_single_patent` assumes local file.~~ Auto-download from cached
+  metadata link integrated.
+- ~~`Patent.patent_id` typed as `int`.~~ Fixed to `str`.
+
+### Frontend
+
+- ~~No loading/error states.~~ Skeleton loaders and error states added to
+  Batch and Analytics pages.
+- ~~No dark mode.~~ Full dark mode support with theme-aware chart colors.
+- ~~Missing lockfile.~~ `package-lock.json` committed.
+
+### Features (formerly P3)
+
+- ~~Export analysis reports.~~ CSV and PDF export endpoints implemented.
+- ~~Comparison view.~~ Side-by-side company patent portfolio comparison added.
+- ~~Scheduled/recurring analysis.~~ APScheduler-based periodic re-analysis
+  with configurable interval and change-threshold alerting.
+- ~~Webhook/notification support.~~ Slack, Discord, and generic HTTP POST
+  webhooks with retry logic.
+- ~~Multi-model support.~~ Model picker in Analysis and Batch pages; backend
+  allow-list validation.
+- ~~Patent trend charts.~~ Filing frequency and category distribution
+  visualizations added to Analytics page.
+- ~~OpenAPI client generation.~~ TypeScript API client auto-generated from
+  FastAPI spec with CI freshness check.
+
+### Resilience
+
+- ~~`_jobs` dict is in-memory only.~~ Database-backed job persistence
+  implemented using `db.list_jobs()` and `mark_stale_jobs_failed()`. The
+  in-memory `_jobs` dict has been removed.
+
+### Test coverage (P1/P2)
+
+- ~~Export endpoint tests.~~ Tests added for CSV and PDF export endpoints.
+- ~~Tracked company admin endpoint tests.~~ Tests added for `/admin/tracked`
+  CRUD endpoints and scheduler integration.
+- ~~Webhook integration tests.~~ Tests added for retry logic, Slack/Discord
+  payload format, and multi-URL dispatch.
+- ~~S3/MinIO storage backend tests.~~ Unit tests added for the S3 backend
+  (read, write, exists, delete, error handling).
+- ~~`analyze_single_patent` auto-download path tests.~~ Tests added for the
+  auto-download fallback (cache lookup, PDF download, FileNotFoundError).
+
+### Code quality
+
+- ~~Scheduler creates its own DatabaseClient.~~ Refactored to use the
+  application-level pooled `get_db_client()`.
 
 ---
 
 ## P1 -- High Priority
 
-These items address correctness, security, and reliability gaps that should be
-resolved before broader production use.
-
-### Security hardening
-
-- **Rotate default JWT secret.** `auth.py` ships a fallback
-  `sparc-secret-key-change-in-production` that will be used if `JWT_SECRET` is
-  unset. Add a startup check that refuses to start with the default secret in
-  non-development environments.
-- **CORS allow-origins are hardcoded.** `api.py` only permits
-  `localhost:3000` and `localhost:5173`. Make the allowed origins configurable
-  via environment variable so the dashboard works when deployed behind a real
-  domain.
-- **Database credentials in docker-compose.yml.** The compose file embeds
-  `postgres:postgres` in plain text. Reference a `.env` file or Docker secrets
-  instead.
-
-### Error handling and resilience
-
-- **`get_db_client()` in `auth.py` creates a new `DatabaseClient` on every
-  call.** This bypasses the connection pool and can exhaust database
-  connections under load. Refactor to share a single pooled client.
-- **`_jobs` dict is in-memory only.** Job state is lost on API restart. Persist
-  job status in PostgreSQL or Redis so async batch results survive restarts.
-- **No rate limiting on auth endpoints.** `/auth/login` and `/auth/register`
-  are unprotected against brute-force or abuse. Add rate limiting middleware.
-
-### Test coverage for auth and admin
-
-- The existing API tests (`tests/test_api.py`) bypass authentication entirely.
-  Add tests that exercise the JWT flow: registration, login, protected-route
-  access, token refresh, and admin-only endpoints.
+No outstanding P1 items. All previously listed items have been completed and
+moved to the Completed section above.
 
 ---
 
 ## P2 -- Medium Priority
 
-Improvements to usability, performance, and developer experience.
+Improvements to the API surface.
 
-### Backend
+### API improvements
 
-- **Add structured logging.** Replace `print()` calls throughout `analyzer.py`,
-  `serp_api.py`, and `llm.py` with Python `logging` so log levels and
-  formatting are consistent.
-- **Make LLM model configurable.** `llm.py` hardcodes
-  `anthropic/claude-3.5-sonnet`. Accept a `MODEL` environment variable to allow
-  switching models without code changes.
-- **SERP cache TTL is hardcoded to 24 hours.** Expose `SERP_CACHE_TTL_HOURS`
-  as an environment variable in `config.py`.
-- **Patent PDF storage.** PDFs are saved to a local `patents/` directory. For
-  containerized deployments, consider object storage (S3/MinIO) or at minimum
-  document the volume mount requirement more prominently.
-- **`analyze_single_patent` assumes local file path.** The method constructs
-  `patents/{patent_id}.pdf` and reads from disk, but does not download the PDF
-  first. Either integrate the download step or document the prerequisite.
-- **`Patent.patent_id` typed as `int` in `types.py` but used as `str`
-  everywhere.** Fix the type annotation to `str`.
-
-### Frontend
-
-- **No loading/error states on several pages.** The Batch and Analytics pages
-  would benefit from skeleton loaders and user-friendly error messages.
-- **No dark mode.** Tailwind is configured but no dark variant is applied.
-- **Missing `package-lock.json` or `pnpm-lock.yaml`.** The frontend has no
-  lockfile committed, leading to non-reproducible builds.
-
-### CI/CD
-
-- **No test stage in the Gitea Actions workflow.** `build.yaml` builds and
-  pushes images but never runs `pytest`. Add a test job that gates the build.
-- **No linting or type checking.** Add `ruff` (Python) and `tsc --noEmit`
-  (TypeScript) to CI.
+- **API pagination.** The `/analyze/batch` endpoint needs cursor-based
+  pagination for large result sets. The `/jobs` endpoint already has cursor
+  pagination. *(Issue #1669)*
+- **Request validation improvements.** Add stricter input validation for
+  company names (disallow special characters, enforce length limits).
+  *(Issue #1670)*
 
 ---
 
@@ -94,23 +132,20 @@ Improvements to usability, performance, and developer experience.
 
 Lower-urgency enhancements and future features.
 
-- **Export analysis reports.** Allow users to download analysis results as PDF
-  or CSV from the dashboard.
-- **Comparison view.** Side-by-side comparison of two companies' patent
-  portfolios.
-- **Scheduled/recurring analysis.** Periodically re-analyze tracked companies
-  and alert on significant changes.
-- **Webhook/notification support.** Send alerts (Slack, Discord, email) when
-  batch jobs complete or when a company's innovation score changes
-  significantly.
-- **Multi-model support.** Let users choose between LLM providers per analysis
-  (e.g., GPT-4o, Gemini, Claude) and compare outputs.
-- **Patent trend charts.** Visualize patent filing frequency and technology
-  category distribution over time in the Analytics page.
-- **API pagination.** The `/analyze/batch` and `/jobs` endpoints could benefit
-  from cursor-based pagination for large result sets.
-- **OpenAPI client generation.** Auto-generate the TypeScript API client from
-  the FastAPI OpenAPI spec to keep frontend types in sync.
+- **Historical analysis diffing.** Show what changed between two analysis runs
+  for the same company, highlighting new patents and score shifts.
+- **Patent classification tagging.** Automatically tag patents by technology
+  domain (AI, semiconductors, materials science) using LLM classification.
+- **User-level API keys.** Allow users to generate personal API keys for
+  programmatic access without JWT token refresh.
+- **Batch export.** Export analysis results for multiple companies at once as
+  a ZIP archive.
+- **Rate limiting dashboard.** Surface rate limit status and usage statistics
+  in the admin panel.
+- **Async webhook delivery.** Move webhook delivery to a background task queue
+  (e.g., Celery, arq) to avoid blocking the scheduler.
+- **Multi-tenant support.** Scope analysis results and tracked companies per
+  user or organization.
 
 ---
 

SPARC/api.py

@@ -12,10 +12,10 @@ from typing import TYPE_CHECKING, Annotated, List
 if TYPE_CHECKING:
     from SPARC.database import DatabaseClient
 
-from fastapi import BackgroundTasks, Depends, FastAPI, HTTPException, Query, Request
+from fastapi import BackgroundTasks, Depends, FastAPI, HTTPException, Path, Query, Request
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse, StreamingResponse
-from pydantic import BaseModel, EmailStr, Field
+from pydantic import BaseModel, EmailStr, Field, StringConstraints
 from slowapi import Limiter
 from slowapi.errors import RateLimitExceeded
 from slowapi.util import get_remote_address
@@ -36,6 +36,16 @@ from SPARC.auth import (
 )
 from SPARC.types import BatchAnalysisResult, CompanyAnalysisResult
 
+# Validated company name type: 2-100 chars, alphanumeric + spaces/hyphens/ampersands/periods only.
+CompanyName = Annotated[
+    str,
+    StringConstraints(
+        min_length=2,
+        max_length=100,
+        pattern=r"^[a-zA-Z0-9][a-zA-Z0-9 \-&.]*$",
+    ),
+]
+
 
 # Pydantic models for API
 class CompanyAnalysisResponse(BaseModel):
@@ -72,7 +82,7 @@ class CompanyAnalysisRequest(BaseModel):
 class BatchAnalysisRequest(BaseModel):
     """Request model for batch company analysis."""
 
-    companies: list[str] = Field(
+    companies: list[CompanyName] = Field(
         ..., min_length=1, max_length=20, description="List of company names to analyze"
     )
     max_workers: int = Field(
@@ -96,6 +106,24 @@ class JobStatus(BaseModel):
     error: str | None = None
 
 
+class AnalysisRecord(BaseModel):
+    """A single stored analysis result."""
+
+    id: int
+    company_name: str | None = None
+    analysis_type: str | None = None
+    model: str | None = None
+    response: str | None = None
+    timestamp: datetime | None = None
+
+
+class PaginatedAnalysisResponse(BaseModel):
+    """Paginated response for analysis result listings."""
+
+    items: list[AnalysisRecord]
+    next_cursor: str | None = None
+
+
 class PaginatedJobsResponse(BaseModel):
     """Paginated response for job listings."""
 
@@ -217,10 +245,37 @@ app = FastAPI(
 limiter = Limiter(key_func=get_remote_address)
 app.state.limiter = limiter
 
+# In-memory rate limit statistics
+_rate_limit_stats: dict[str, dict] = {}
+
+
+def _track_rate_limit_request(endpoint: str, ip: str, rejected: bool = False) -> None:
+    """Record a request against a rate-limited endpoint."""
+    key = endpoint
+    if key not in _rate_limit_stats:
+        _rate_limit_stats[key] = {
+            "endpoint": endpoint,
+            "total_requests": 0,
+            "rejected_requests": 0,
+            "by_ip": {},
+        }
+    _rate_limit_stats[key]["total_requests"] += 1
+    if rejected:
+        _rate_limit_stats[key]["rejected_requests"] += 1
+    ip_stats = _rate_limit_stats[key].setdefault("by_ip", {})
+    if ip not in ip_stats:
+        ip_stats[ip] = {"total": 0, "rejected": 0}
+    ip_stats[ip]["total"] += 1
+    if rejected:
+        ip_stats[ip]["rejected"] += 1
+
 
 @app.exception_handler(RateLimitExceeded)
 async def rate_limit_handler(request: Request, exc: RateLimitExceeded):
     """Return 429 with Retry-After header when rate limit is exceeded."""
+    endpoint = request.url.path
+    ip = get_remote_address(request)
+    _track_rate_limit_request(endpoint, ip, rejected=True)
     retry_after = getattr(exc, "retry_after", 60)
     return JSONResponse(
         status_code=429,
@@ -249,6 +304,7 @@ async def register(request: Request, body: RegisterRequest):
 
     The first registered user automatically becomes an admin.
     """
+    _track_rate_limit_request("/auth/register", get_remote_address(request))
     db = get_db_client()
 
     # First user becomes admin
@@ -279,6 +335,7 @@ async def register(request: Request, body: RegisterRequest):
 @limiter.limit("10/minute")
 async def login(request: Request, body: LoginRequest):
     """Authenticate user and return JWT tokens."""
+    _track_rate_limit_request("/auth/login", get_remote_address(request))
     db = get_db_client()
 
     user = db.authenticate_user(body.email, body.password)
@@ -405,7 +462,7 @@ async def delete_user(
 class TrackCompanyRequest(BaseModel):
     """Request to add a company to tracking."""
 
-    company_name: str = Field(..., min_length=1, max_length=255)
+    company_name: CompanyName = Field(...)
 
 
 @app.get("/admin/tracked", tags=["Admin"])
@@ -432,7 +489,7 @@ async def add_tracked_company(
 
 @app.delete("/admin/tracked/{company_name}", tags=["Admin"])
 async def remove_tracked_company(
-    company_name: str,
+    company_name: Annotated[str, Path(min_length=2, max_length=100, pattern=r"^[a-zA-Z0-9][a-zA-Z0-9 \-&.]*$")],
     _: UserResponse = Depends(get_current_admin),
 ):
     """Remove a company from the tracked list (admin only)."""
@@ -443,6 +500,36 @@ async def remove_tracked_company(
     return {"message": f"Stopped tracking {company_name}"}
 
 
+@app.get("/admin/rate-limits", tags=["Admin"])
+async def get_rate_limit_stats(
+    _: UserResponse = Depends(get_current_admin),
+):
+    """Get rate limit status and usage statistics (admin only).
+
+    Returns current rate limit configuration and request statistics
+    for all rate-limited endpoints.
+
+    Returns:
+        List of rate limit stats per endpoint with total/rejected counts
+    """
+    rate_limits_config = {
+        "/auth/register": {"limit": "5/minute"},
+        "/auth/login": {"limit": "10/minute"},
+    }
+
+    results = []
+    for endpoint, conf in rate_limits_config.items():
+        stats = _rate_limit_stats.get(endpoint, {})
+        results.append({
+            "endpoint": endpoint,
+            "limit": conf["limit"],
+            "total_requests": stats.get("total_requests", 0),
+            "rejected_requests": stats.get("rejected_requests", 0),
+        })
+
+    return {"rate_limits": results}
+
+
 @app.get("/admin/alerts", tags=["Admin"])
 async def list_alerts(
     limit: int = Query(default=50, ge=1, le=200),
@@ -588,27 +675,25 @@ async def get_analytics_trends(
 # ============== Export Endpoints ==============
 
 
-@app.get("/export/{company_name}", tags=["Export"])
-async def export_company_csv(
-    company_name: str,
-    _: UserResponse = Depends(get_current_user),
-):
-    """Export analysis results for a company as a CSV file.
+class BatchExportRequest(BaseModel):
+    """Request model for batch ZIP export of analysis results."""
 
-    Returns all stored analysis records for the given company, including
-    analysis type, model used, response text, and timestamp.
+    companies: list[CompanyName] = Field(
+        ..., min_length=1, max_length=50, description="List of company names to export"
+    )
+    format: str = Field(
+        default="csv",
+        pattern="^(csv|pdf)$",
+        description="Export format: 'csv' or 'pdf'",
+    )
 
-    Args:
-        company_name: Company name to export results for
 
-    Returns:
-        CSV file download
+def _fetch_company_rows(db, company_name: str) -> list:
+    """Fetch all non-cached analysis rows for *company_name* from the DB.
+
+    Returns a list of tuples: (company_name, analysis_type, model, response, timestamp).
+    Returns an empty list when no results exist.
     """
-    import csv
-    import io
-
-    db = get_db_client()
-    # Query all non-cached analysis results for this company
     with db.get_conn() as conn:
         with conn.cursor() as cur:
             cur.execute(
@@ -620,43 +705,24 @@ async def export_company_csv(
                 """,
                 (company_name,),
             )
-            rows = cur.fetchall()
+            return cur.fetchall()
 
-    if not rows:
-        raise HTTPException(status_code=404, detail=f"No analysis results found for '{company_name}'")
+
+def _build_company_csv(rows) -> bytes:
+    """Render *rows* as CSV bytes."""
+    import csv
+    import io
 
     output = io.StringIO()
     writer = csv.writer(output)
     writer.writerow(["company_name", "analysis_type", "model", "analysis", "timestamp"])
     for row in rows:
         writer.writerow(row)
-
-    output.seek(0)
-    safe_name = company_name.replace(" ", "_").lower()
-    return StreamingResponse(
-        iter([output.getvalue()]),
-        media_type="text/csv",
-        headers={"Content-Disposition": f'attachment; filename="sparc_{safe_name}_export.csv"'},
-    )
+    return output.getvalue().encode("utf-8")
 
 
-@app.get("/export/{company_name}/pdf", tags=["Export"])
-async def export_company_pdf(
-    company_name: str,
-    _: UserResponse = Depends(get_current_user),
-):
-    """Export analysis results for a company as a formatted PDF report.
-
-    Returns all stored analysis records for the given company, including
-    analysis type, model used, response text, and timestamp, formatted
-    as a downloadable PDF document.
-
-    Args:
-        company_name: Company name to export results for
-
-    Returns:
-        PDF file download
-    """
+def _build_company_pdf(rows, company_name: str) -> bytes:
+    """Render *rows* as PDF bytes using reportlab."""
     import io
 
     from reportlab.lib import colors
@@ -671,23 +737,6 @@ async def export_company_pdf(
         TableStyle,
     )
 
-    db = get_db_client()
-    with db.get_conn() as conn:
-        with conn.cursor() as cur:
-            cur.execute(
-                """
-                SELECT company_name, analysis_type, model, response, timestamp
-                FROM llm_messages
-                WHERE LOWER(company_name) = LOWER(%s) AND is_cached = FALSE
-                ORDER BY timestamp DESC
-                """,
-                (company_name,),
-            )
-            rows = cur.fetchall()
-
-    if not rows:
-        raise HTTPException(status_code=404, detail=f"No analysis results found for '{company_name}'")
-
     buffer = io.BytesIO()
     doc = SimpleDocTemplate(
         buffer,
@@ -730,13 +779,11 @@ async def export_company_pdf(
 
     elements = []
 
-    # Title and date
-    display_name = rows[0][0]  # Use the casing from the database
+    display_name = rows[0][0]
     analysis_date = datetime.now().strftime("%Y-%m-%d")
     elements.append(Paragraph(f"SPARC Analysis Report: {display_name}", title_style))
     elements.append(Paragraph(f"Generated on {analysis_date}", subtitle_style))
 
-    # Summary table
     summary_data = [
         ["Total Analyses", str(len(rows))],
         ["Analysis Types", ", ".join(sorted(set(r[1] for r in rows)))],
@@ -758,7 +805,6 @@ async def export_company_pdf(
     elements.append(summary_table)
     elements.append(Spacer(1, 16))
 
-    # Individual analysis sections
     for i, row in enumerate(rows, 1):
         _, analysis_type, model, response, timestamp = row
         ts_str = timestamp.strftime("%Y-%m-%d %H:%M:%S") if hasattr(timestamp, "strftime") else str(timestamp)
@@ -770,13 +816,11 @@ async def export_company_pdf(
             Paragraph(f"<i>Performed: {ts_str}</i>", body_style)
         )
 
-        # Wrap long response text into paragraphs, escaping XML special chars
         safe_response = (
             response.replace("&", "&amp;")
             .replace("<", "&lt;")
             .replace(">", "&gt;")
         )
-        # Split into manageable paragraphs to avoid overflow
         for line in safe_response.split("\n"):
             if line.strip():
                 elements.append(Paragraph(line, body_style))
@@ -787,11 +831,133 @@ async def export_company_pdf(
 
     doc.build(elements)
     buffer.seek(0)
+    return buffer.getvalue()
+
+
+@app.post("/export/batch", tags=["Export"])
+async def export_batch_zip(
+    request: BatchExportRequest,
+    _: UserResponse = Depends(get_current_user),
+):
+    """Export analysis results for multiple companies as a ZIP archive.
+
+    For each company in the request, fetches all stored analysis records and
+    adds a per-company file (CSV or PDF) to the archive. Companies with no
+    stored results are skipped; a ``manifest.json`` inside the ZIP lists both
+    the exported and skipped companies.
+
+    Args:
+        request: List of company names and desired export format ('csv' or 'pdf')
+
+    Returns:
+        ZIP archive download containing one file per found company plus a manifest
+    """
+    import io
+    import json
+    import zipfile
+
+    db = get_db_client()
+    export_date = datetime.now().strftime("%Y-%m-%d")
+    fmt = request.format
+
+    exported: list[str] = []
+    skipped: list[str] = []
+
+    zip_buffer = io.BytesIO()
+    with zipfile.ZipFile(zip_buffer, mode="w", compression=zipfile.ZIP_DEFLATED) as zf:
+        for company_name in request.companies:
+            rows = _fetch_company_rows(db, company_name)
+            if not rows:
+                skipped.append(company_name)
+                continue
+
+            safe_name = company_name.replace(" ", "_").lower()
+            if fmt == "pdf":
+                file_bytes = _build_company_pdf(rows, company_name)
+                filename = f"{safe_name}-analysis-{export_date}.pdf"
+            else:
+                file_bytes = _build_company_csv(rows)
+                filename = f"sparc_{safe_name}_export.csv"
+
+            zf.writestr(filename, file_bytes)
+            exported.append(company_name)
+
+        # Always include a manifest
+        manifest = {
+            "export_date": export_date,
+            "format": fmt,
+            "exported": exported,
+            "skipped": skipped,
+        }
+        zf.writestr("manifest.json", json.dumps(manifest, indent=2))
+
+    zip_buffer.seek(0)
+    zip_filename = f"sparc-export-{export_date}.zip"
+    return StreamingResponse(
+        iter([zip_buffer.getvalue()]),
+        media_type="application/zip",
+        headers={"Content-Disposition": f'attachment; filename="{zip_filename}"'},
+    )
+
+
+@app.get("/export/{company_name}", tags=["Export"])
+async def export_company_csv(
+    company_name: Annotated[str, Path(min_length=2, max_length=100, pattern=r"^[a-zA-Z0-9][a-zA-Z0-9 \-&.]*$")],
+    _: UserResponse = Depends(get_current_user),
+):
+    """Export analysis results for a company as a CSV file.
+
+    Returns all stored analysis records for the given company, including
+    analysis type, model used, response text, and timestamp.
+
+    Args:
+        company_name: Company name to export results for
+
+    Returns:
+        CSV file download
+    """
+    db = get_db_client()
+    rows = _fetch_company_rows(db, company_name)
+
+    if not rows:
+        raise HTTPException(status_code=404, detail=f"No analysis results found for '{company_name}'")
 
     safe_name = company_name.replace(" ", "_").lower()
+    return StreamingResponse(
+        iter([_build_company_csv(rows)]),
+        media_type="text/csv",
+        headers={"Content-Disposition": f'attachment; filename="sparc_{safe_name}_export.csv"'},
+    )
+
+
+@app.get("/export/{company_name}/pdf", tags=["Export"])
+async def export_company_pdf(
+    company_name: Annotated[str, Path(min_length=2, max_length=100, pattern=r"^[a-zA-Z0-9][a-zA-Z0-9 \-&.]*$")],
+    _: UserResponse = Depends(get_current_user),
+):
+    """Export analysis results for a company as a formatted PDF report.
+
+    Returns all stored analysis records for the given company, including
+    analysis type, model used, response text, and timestamp, formatted
+    as a downloadable PDF document.
+
+    Args:
+        company_name: Company name to export results for
+
+    Returns:
+        PDF file download
+    """
+    db = get_db_client()
+    rows = _fetch_company_rows(db, company_name)
+
+    if not rows:
+        raise HTTPException(status_code=404, detail=f"No analysis results found for '{company_name}'")
+
+    safe_name = company_name.replace(" ", "_").lower()
+    analysis_date = datetime.now().strftime("%Y-%m-%d")
     filename = f"{safe_name}-analysis-{analysis_date}.pdf"
     return StreamingResponse(
-        iter([buffer.getvalue()]),
+        iter([_build_company_pdf(rows, company_name)]),
         media_type="application/pdf",
         headers={"Content-Disposition": f'attachment; filename="{filename}"'},
     )
@@ -816,7 +982,7 @@ async def health_check():
     tags=["Analysis"],
 )
 async def analyze_company(
-    company_name: str,
+    company_name: Annotated[str, Path(min_length=2, max_length=100, pattern=r"^[a-zA-Z0-9][a-zA-Z0-9 \-&.]*$")],
     model: str | None = Query(default=None, description="LLM model to use (e.g. 'openai/gpt-4o'). Defaults to server config."),
     _: UserResponse = Depends(get_current_user),
 ):
@@ -846,7 +1012,7 @@ async def analyze_company(
 )
 async def analyze_single_patent(
     patent_id: str,
-    company_name: str = Query(description="Company name for analysis context"),
+    company_name: Annotated[str, Query(min_length=2, max_length=100, pattern=r"^[a-zA-Z0-9][a-zA-Z0-9 \-&.]*$", description="Company name for analysis context")],
     _: UserResponse = Depends(get_current_user),
 ):
     """Analyze a single patent by its publication ID.
@@ -872,6 +1038,58 @@ async def analyze_single_patent(
         raise HTTPException(status_code=404, detail=str(e))
 
 
+@app.get(
+    "/analyze/batch",
+    response_model=PaginatedAnalysisResponse,
+    tags=["Analysis"],
+)
+async def list_analysis_results(
+    company_name: Annotated[
+        str | None,
+        Query(description="Filter results by company name"),
+    ] = None,
+    limit: Annotated[int, Query(ge=1, le=200)] = 50,
+    cursor: Annotated[
+        str | None,
+        Query(description="Opaque cursor from a previous response's next_cursor field"),
+    ] = None,
+    _: UserResponse = Depends(get_current_user),
+):
+    """List stored analysis results with cursor-based pagination.
+
+    Returns past analysis results ordered by timestamp descending. Use
+    ``limit`` to control page size (default 50, max 200). The response
+    includes a ``next_cursor`` field; pass it back as the ``cursor`` query
+    parameter to fetch the next page. When ``next_cursor`` is ``null``,
+    there are no more results.
+
+    Args:
+        company_name: Optional filter by company name
+        limit: Maximum number of results to return (default 50, max 200)
+        cursor: Opaque pagination cursor from a previous response
+
+    Returns:
+        Paginated list of analysis results
+    """
+    db = _get_job_db()
+    rows = db.list_analyses(company_name=company_name, limit=limit + 1, cursor=cursor)
+
+    has_next = len(rows) > limit
+    if has_next:
+        rows = rows[:limit]
+
+    items = [AnalysisRecord(**row) for row in rows]
+
+    next_cursor = None
+    if has_next and rows:
+        last = rows[-1]
+        ts = last["timestamp"]
+        ts_str = ts.isoformat() if hasattr(ts, "isoformat") else str(ts)
+        next_cursor = f"{ts_str}|{last['id']}"
+
+    return PaginatedAnalysisResponse(items=items, next_cursor=next_cursor)
+
+
 @app.post(
     "/analyze/batch",
     response_model=BatchAnalysisResponse,
@@ -1047,7 +1265,7 @@ async def list_jobs(
         str | None,
         Query(description="Filter by status: pending, running, completed, failed"),
     ] = None,
-    limit: Annotated[int, Query(ge=1, le=100)] = 10,
+    limit: Annotated[int, Query(ge=1, le=200)] = 50,
     cursor: Annotated[
         str | None,
         Query(description="Opaque cursor from a previous response's next_cursor field"),

SPARC/database.py

@@ -371,6 +371,48 @@ class DatabaseClient:
                 cursor.execute(query, params)
                 return [dict(row) for row in cursor.fetchall()]
 
+    def list_analyses(
+        self,
+        company_name: Optional[str] = None,
+        limit: int = 50,
+        cursor: Optional[str] = None,
+    ) -> List[Dict]:
+        """List analysis results with cursor-based pagination.
+
+        Args:
+            company_name: Optional filter by company name.
+            limit: Maximum number of records to return.
+            cursor: Opaque cursor (``timestamp|id``) from a previous response.
+
+        Returns:
+            List of analysis dicts ordered by timestamp descending.
+        """
+        conditions: list[str] = ["is_cached = FALSE"]
+        params: list = []
+
+        if company_name:
+            conditions.append("LOWER(company_name) = LOWER(%s)")
+            params.append(company_name)
+
+        if cursor:
+            try:
+                ts_str, cursor_id = cursor.rsplit("|", 1)
+                conditions.append("(timestamp, id) < (%s, %s)")
+                params.extend([ts_str, int(cursor_id)])
+            except (ValueError, TypeError):
+                pass  # Ignore malformed cursors; return from start
+
+        query = "SELECT id, company_name, analysis_type, model, response, timestamp FROM llm_messages"
+        if conditions:
+            query += " WHERE " + " AND ".join(conditions)
+        query += " ORDER BY timestamp DESC, id DESC LIMIT %s"
+        params.append(limit)
+
+        with self.get_conn() as conn:
+            with conn.cursor(cursor_factory=RealDictCursor) as cur:
+                cur.execute(query, params)
+                return [dict(row) for row in cur.fetchall()]
+
     def get_analytics(self, days: int = 30) -> Dict:
         """Get analytics on message usage.
 

SPARC/scheduler.py

@@ -2,14 +2,17 @@
 
 Uses APScheduler to periodically re-analyze tracked companies and
 detect significant changes in patent counts.
+
+The scheduler reuses the application-level pooled DatabaseClient
+(from ``SPARC.auth``) instead of creating its own connection, which
+avoids exhausting the database connection pool under load.
 """
 
 import logging
 import os
 
-from SPARC import config
 from SPARC.analyzer import CompanyAnalyzer
-from SPARC.database import DatabaseClient
+from SPARC.auth import get_db_client
 
 logger = logging.getLogger(__name__)
 
@@ -21,10 +24,13 @@ CHANGE_THRESHOLD_PERCENT = int(os.getenv("CHANGE_THRESHOLD_PERCENT", "20"))
 
 
 def run_scheduled_analysis() -> None:
-    """Re-analyze all tracked companies and check for significant changes."""
-    db = DatabaseClient(config.database_url)
-    db.connect()
-    db.initialize_schema()
+    """Re-analyze all tracked companies and check for significant changes.
+
+    Uses the shared pooled DatabaseClient from ``SPARC.auth.get_db_client()``
+    rather than creating a disposable connection, so the scheduler participates
+    in the same connection pool as the rest of the application.
+    """
+    db = get_db_client()
 
     tracked = db.list_tracked_companies()
     if not tracked:
@@ -74,7 +80,6 @@ def run_scheduled_analysis() -> None:
         except Exception as e:
             logger.error("Error analyzing tracked company %s: %s", name, e)
 
-    db.close()
     logger.info("Scheduled analysis complete")
 
 

tests/test_analyze_single_patent.py

@@ -0,0 +1,211 @@
+"""Tests for analyze_single_patent auto-download path.
+
+Covers issue #1661:
+- PDF exists on disk: direct analysis (happy path)
+- PDF not on disk, cached link exists: auto-download and analyze
+- PDF not on disk, no cached link: FileNotFoundError
+- Analysis failure after PDF found: graceful error message
+- Model override parameter passthrough
+"""
+
+import os
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from SPARC.analyzer import CompanyAnalyzer
+from SPARC.types import Patent
+
+
+@pytest.fixture(autouse=True)
+def mock_db(mocker):
+    """Mock DatabaseClient so no real DB is needed."""
+    mock_db_cls = mocker.patch("SPARC.analyzer.DatabaseClient")
+    mock_db_instance = MagicMock()
+    mock_db_instance.get_cached_patent.return_value = None
+    mock_db_instance.get_cached_serp_query.return_value = None
+    mock_db_cls.return_value = mock_db_instance
+    return mock_db_instance
+
+
+@pytest.fixture
+def analyzer(mocker, mock_db):
+    """Create a CompanyAnalyzer with mocked LLM and DB."""
+    mocker.patch("SPARC.analyzer.LLMAnalyzer")
+    return CompanyAnalyzer(openrouter_api_key="test-key")
+
+
+class TestAnalyzeSinglePatentAutoDownload:
+    """Test the auto-download logic in analyze_single_patent."""
+
+    def test_pdf_on_disk_analyzed_directly(self, analyzer, mocker, tmp_path):
+        """When PDF exists on disk, it is analyzed directly without download."""
+        patent_id = "US-11234567-B2"
+
+        # Create the patents dir and PDF file
+        patents_dir = tmp_path / "patents"
+        patents_dir.mkdir()
+        pdf_path = patents_dir / f"{patent_id}.pdf"
+        pdf_path.write_bytes(b"fake PDF content")
+
+        mock_parse = mocker.patch("SPARC.analyzer.SERP.parse_patent_pdf")
+        mock_minimize = mocker.patch("SPARC.analyzer.SERP.minimize_patent_for_llm")
+        mock_parse.return_value = {"abstract": "test", "claims": "test claims"}
+        mock_minimize.return_value = "minimized content"
+        analyzer.llm_analyzer.analyze_patent_content.return_value = "Good patent."
+
+        # Change cwd so patents/{patent_id}.pdf resolves to our tmp_path
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            result = analyzer.analyze_single_patent(patent_id, "TestCo")
+        finally:
+            os.chdir(original_cwd)
+
+        assert result == "Good patent."
+        # DB cache should not have been queried since file existed
+        analyzer.db.get_cached_patent.assert_not_called()
+
+    def test_auto_download_from_cached_link(self, analyzer, mocker, tmp_path):
+        """When PDF is not on disk but link is cached, auto-download occurs."""
+        patent_id = "US-99887766-A1"
+
+        # No patents dir exists (PDF not on disk)
+        mock_save = mocker.patch("SPARC.analyzer.SERP.save_patents")
+        downloaded_patent = Patent(patent_id=patent_id, pdf_link="https://example.com/patent.pdf")
+        downloaded_patent.pdf_path = f"patents/{patent_id}.pdf"
+        mock_save.return_value = downloaded_patent
+
+        # Cached patent has a PDF link
+        analyzer.db.get_cached_patent.return_value = {
+            "patent_id": patent_id,
+            "pdf_link": "https://example.com/patent.pdf",
+        }
+
+        # Mock the rest of the analysis pipeline
+        mock_parse = mocker.patch("SPARC.analyzer.SERP.parse_patent_pdf")
+        mock_minimize = mocker.patch("SPARC.analyzer.SERP.minimize_patent_for_llm")
+        mock_parse.return_value = {"abstract": "test abstract"}
+        mock_minimize.return_value = "minimized content"
+        analyzer.llm_analyzer.analyze_patent_content.return_value = "Strong innovation."
+
+        # Change cwd so patents/{patent_id}.pdf does NOT exist
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            result = analyzer.analyze_single_patent(patent_id, "DownloadCo")
+        finally:
+            os.chdir(original_cwd)
+
+        assert result == "Strong innovation."
+        analyzer.db.get_cached_patent.assert_called_once_with(patent_id)
+        mock_save.assert_called_once()
+        # Verify the Patent passed to save_patents has the correct ID and link
+        saved_patent = mock_save.call_args[0][0]
+        assert saved_patent.patent_id == patent_id
+        assert saved_patent.pdf_link == "https://example.com/patent.pdf"
+
+    def test_no_cached_link_raises_file_not_found(self, analyzer, mocker, tmp_path):
+        """When PDF is not on disk and no cached link, FileNotFoundError raised."""
+        patent_id = "US-00000000-X1"
+
+        analyzer.db.get_cached_patent.return_value = None
+
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            with pytest.raises(FileNotFoundError, match="no download link is cached"):
+                analyzer.analyze_single_patent(patent_id, "MissingCo")
+        finally:
+            os.chdir(original_cwd)
+
+    def test_cached_patent_without_pdf_link_raises(self, analyzer, mocker, tmp_path):
+        """When cached patent exists but has no pdf_link, FileNotFoundError raised."""
+        patent_id = "US-11111111-B1"
+
+        analyzer.db.get_cached_patent.return_value = {
+            "patent_id": patent_id,
+            "pdf_link": None,
+        }
+
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            with pytest.raises(FileNotFoundError, match="no download link is cached"):
+                analyzer.analyze_single_patent(patent_id, "NoPDFCo")
+        finally:
+            os.chdir(original_cwd)
+
+    def test_analysis_exception_returns_error_message(self, analyzer, mocker, tmp_path):
+        """When analysis pipeline fails, returns error string instead of raising."""
+        patent_id = "US-22222222-A2"
+
+        # Create the PDF on disk so it skips download
+        patents_dir = tmp_path / "patents"
+        patents_dir.mkdir()
+        (patents_dir / f"{patent_id}.pdf").write_bytes(b"fake PDF")
+
+        # Parse fails
+        mocker.patch(
+            "SPARC.analyzer.SERP.parse_patent_pdf",
+            side_effect=ValueError("Corrupt PDF"),
+        )
+
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            result = analyzer.analyze_single_patent(patent_id, "ErrorCo")
+        finally:
+            os.chdir(original_cwd)
+
+        assert "Failed to analyze patent" in result
+        assert "Corrupt PDF" in result
+
+    def test_model_override_passed_to_llm(self, analyzer, mocker, tmp_path):
+        """The model parameter is forwarded to the LLM analyzer."""
+        patent_id = "US-33333333-B2"
+
+        patents_dir = tmp_path / "patents"
+        patents_dir.mkdir()
+        (patents_dir / f"{patent_id}.pdf").write_bytes(b"fake PDF")
+
+        mocker.patch("SPARC.analyzer.SERP.parse_patent_pdf", return_value={"abstract": "test"})
+        mocker.patch("SPARC.analyzer.SERP.minimize_patent_for_llm", return_value="content")
+        analyzer.llm_analyzer.analyze_patent_content.return_value = "Analysis result."
+
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            result = analyzer.analyze_single_patent(
+                patent_id, "ModelCo", model="openai/gpt-4o"
+            )
+        finally:
+            os.chdir(original_cwd)
+
+        assert result == "Analysis result."
+        analyzer.llm_analyzer.analyze_patent_content.assert_called_once_with(
+            patent_content="content",
+            company_name="ModelCo",
+            model="openai/gpt-4o",
+        )
+
+    def test_file_not_found_during_parse_re_raised(self, analyzer, mocker, tmp_path):
+        """FileNotFoundError during parsing is re-raised, not caught."""
+        patent_id = "US-44444444-C1"
+
+        patents_dir = tmp_path / "patents"
+        patents_dir.mkdir()
+        (patents_dir / f"{patent_id}.pdf").write_bytes(b"fake PDF")
+
+        mocker.patch(
+            "SPARC.analyzer.SERP.parse_patent_pdf",
+            side_effect=FileNotFoundError("PDF file vanished"),
+        )
+
+        original_cwd = os.getcwd()
+        os.chdir(tmp_path)
+        try:
+            with pytest.raises(FileNotFoundError, match="PDF file vanished"):
+                analyzer.analyze_single_patent(patent_id, "VanishCo")
+        finally:
+            os.chdir(original_cwd)

tests/test_batch_export.py

@@ -0,0 +1,373 @@
+"""Tests for POST /export/batch endpoint (issue #1674).
+
+Covers:
+- Single company export (CSV + PDF)
+- Multiple company export
+- All-missing companies (every requested company is skipped)
+- Unauthenticated / invalid-token requests
+- Manifest content validation
+- Invalid format rejection
+"""
+
+import io
+import json
+import zipfile
+from datetime import datetime, timezone
+from unittest.mock import MagicMock, patch
+
+import pytest
+from fastapi.testclient import TestClient
+
+from SPARC.api import app
+from SPARC.auth import create_access_token
+
+
+@pytest.fixture
+def client():
+    """Create a FastAPI test client."""
+    return TestClient(app)
+
+
+@pytest.fixture(autouse=True)
+def mock_db():
+    """Mock database client for all tests in this module."""
+    db = MagicMock()
+
+    # Auth: user always exists
+    db.get_user_by_id.return_value = {
+        "id": 1,
+        "email": "user@test.com",
+        "role": "user",
+        "created_at": datetime(2025, 1, 1, tzinfo=timezone.utc),
+    }
+
+    # Default cursor mock (overridden per-test via side_effect or return_value)
+    mock_cursor = MagicMock()
+    mock_conn = MagicMock()
+    mock_conn.cursor.return_value.__enter__ = MagicMock(return_value=mock_cursor)
+    mock_conn.cursor.return_value.__exit__ = MagicMock(return_value=False)
+    db.get_conn.return_value.__enter__ = MagicMock(return_value=mock_conn)
+    db.get_conn.return_value.__exit__ = MagicMock(return_value=False)
+    db._mock_cursor = mock_cursor
+
+    with patch("SPARC.api.get_db_client", return_value=db), \
+         patch("SPARC.auth.get_db_client", return_value=db):
+        yield db
+
+
+def _auth_header():
+    token = create_access_token(1, "user@test.com", "user")
+    return {"Authorization": f"Bearer {token}"}
+
+
+def _rows_for(company_name: str):
+    """Return a single sample row for the given company."""
+    return [
+        (
+            company_name,
+            "company_analysis",
+            "anthropic/claude-3.5-sonnet",
+            f"Strong patent portfolio for {company_name}.",
+            datetime(2025, 6, 15, 10, 30, 0),
+        )
+    ]
+
+
+def _open_zip(content: bytes) -> zipfile.ZipFile:
+    """Helper: wrap response bytes as a ZipFile."""
+    return zipfile.ZipFile(io.BytesIO(content))
+
+
+# ---------------------------------------------------------------------------
+# Authentication
+# ---------------------------------------------------------------------------
+
+
+class TestBatchExportAuth:
+    """Unauthenticated and invalid-token requests must be rejected."""
+
+    def test_unauthenticated_returns_401(self, client):
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"], "format": "csv"},
+        )
+        assert response.status_code == 401
+
+    def test_invalid_token_returns_401(self, client):
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"], "format": "csv"},
+            headers={"Authorization": "Bearer totally.invalid.token"},
+        )
+        assert response.status_code == 401
+
+
+# ---------------------------------------------------------------------------
+# Single company
+# ---------------------------------------------------------------------------
+
+
+class TestBatchExportSingleCompany:
+    """POST /export/batch with a single company name."""
+
+    def test_single_company_csv_returns_zip(self, client, mock_db):
+        mock_db._mock_cursor.fetchall.return_value = _rows_for("NVIDIA")
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"], "format": "csv"},
+            headers=_auth_header(),
+        )
+
+        assert response.status_code == 200
+        assert response.headers["content-type"] == "application/zip"
+        assert "attachment" in response.headers["content-disposition"]
+        assert "sparc-export-" in response.headers["content-disposition"]
+        assert response.headers["content-disposition"].endswith('.zip"')
+
+    def test_single_company_csv_zip_contains_csv_file(self, client, mock_db):
+        mock_db._mock_cursor.fetchall.return_value = _rows_for("NVIDIA")
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"], "format": "csv"},
+            headers=_auth_header(),
+        )
+
+        zf = _open_zip(response.content)
+        names = zf.namelist()
+        csv_files = [n for n in names if n.endswith(".csv")]
+        assert len(csv_files) == 1
+        assert "nvidia" in csv_files[0]
+
+    def test_single_company_csv_content_is_valid_csv(self, client, mock_db):
+        mock_db._mock_cursor.fetchall.return_value = _rows_for("NVIDIA")
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"], "format": "csv"},
+            headers=_auth_header(),
+        )
+
+        zf = _open_zip(response.content)
+        csv_name = [n for n in zf.namelist() if n.endswith(".csv")][0]
+        csv_text = zf.read(csv_name).decode("utf-8")
+        lines = csv_text.strip().split("\n")
+        assert lines[0].strip() == "company_name,analysis_type,model,analysis,timestamp"
+        assert "NVIDIA" in lines[1]
+
+    def test_single_company_pdf_zip_contains_pdf_file(self, client, mock_db):
+        mock_db._mock_cursor.fetchall.return_value = _rows_for("NVIDIA")
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"], "format": "pdf"},
+            headers=_auth_header(),
+        )
+
+        assert response.status_code == 200
+        zf = _open_zip(response.content)
+        pdf_files = [n for n in zf.namelist() if n.endswith(".pdf")]
+        assert len(pdf_files) == 1
+        # Verify it is actually a PDF (starts with %PDF)
+        pdf_bytes = zf.read(pdf_files[0])
+        assert pdf_bytes[:4] == b"%PDF"
+
+
+# ---------------------------------------------------------------------------
+# Multiple companies
+# ---------------------------------------------------------------------------
+
+
+class TestBatchExportMultipleCompanies:
+    """POST /export/batch with several companies."""
+
+    def test_multiple_companies_each_gets_a_file(self, client, mock_db):
+        companies = ["NVIDIA", "Intel", "AMD"]
+        mock_db._mock_cursor.fetchall.side_effect = [
+            _rows_for("NVIDIA"),
+            _rows_for("Intel"),
+            _rows_for("AMD"),
+        ]
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": companies, "format": "csv"},
+            headers=_auth_header(),
+        )
+
+        assert response.status_code == 200
+        zf = _open_zip(response.content)
+        csv_files = [n for n in zf.namelist() if n.endswith(".csv")]
+        assert len(csv_files) == 3
+
+    def test_multiple_companies_manifest_lists_all_exported(self, client, mock_db):
+        companies = ["NVIDIA", "Intel"]
+        mock_db._mock_cursor.fetchall.side_effect = [
+            _rows_for("NVIDIA"),
+            _rows_for("Intel"),
+        ]
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": companies, "format": "csv"},
+            headers=_auth_header(),
+        )
+
+        zf = _open_zip(response.content)
+        manifest = json.loads(zf.read("manifest.json"))
+        assert set(manifest["exported"]) == {"NVIDIA", "Intel"}
+        assert manifest["skipped"] == []
+        assert manifest["format"] == "csv"
+
+    def test_partial_missing_companies_skipped(self, client, mock_db):
+        """Companies with no data are skipped; others are exported."""
+        mock_db._mock_cursor.fetchall.side_effect = [
+            _rows_for("NVIDIA"),
+            [],  # no data for "UnknownCo"
+        ]
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA", "UnknownCo"], "format": "csv"},
+            headers=_auth_header(),
+        )
+
+        assert response.status_code == 200
+        zf = _open_zip(response.content)
+        manifest = json.loads(zf.read("manifest.json"))
+        assert manifest["exported"] == ["NVIDIA"]
+        assert manifest["skipped"] == ["UnknownCo"]
+
+        csv_files = [n for n in zf.namelist() if n.endswith(".csv")]
+        assert len(csv_files) == 1
+
+
+# ---------------------------------------------------------------------------
+# All-missing companies
+# ---------------------------------------------------------------------------
+
+
+class TestBatchExportAllMissing:
+    """When every requested company has no data, the ZIP still returns 200
+    with only a manifest (no per-company files, all listed in skipped)."""
+
+    def test_all_missing_returns_200_with_manifest_only(self, client, mock_db):
+        mock_db._mock_cursor.fetchall.return_value = []
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["GhostCo", "PhantomInc"], "format": "csv"},
+            headers=_auth_header(),
+        )
+
+        assert response.status_code == 200
+        zf = _open_zip(response.content)
+        assert "manifest.json" in zf.namelist()
+
+        manifest = json.loads(zf.read("manifest.json"))
+        assert manifest["exported"] == []
+        assert set(manifest["skipped"]) == {"GhostCo", "PhantomInc"}
+
+    def test_all_missing_zip_has_no_data_files(self, client, mock_db):
+        mock_db._mock_cursor.fetchall.return_value = []
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["GhostCo"], "format": "csv"},
+            headers=_auth_header(),
+        )
+
+        zf = _open_zip(response.content)
+        data_files = [n for n in zf.namelist() if n != "manifest.json"]
+        assert data_files == []
+
+
+# ---------------------------------------------------------------------------
+# Manifest validation
+# ---------------------------------------------------------------------------
+
+
+class TestBatchExportManifest:
+    """The manifest.json inside every ZIP must be well-formed."""
+
+    def test_manifest_always_present(self, client, mock_db):
+        mock_db._mock_cursor.fetchall.return_value = _rows_for("NVIDIA")
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"], "format": "csv"},
+            headers=_auth_header(),
+        )
+
+        zf = _open_zip(response.content)
+        assert "manifest.json" in zf.namelist()
+
+    def test_manifest_contains_required_keys(self, client, mock_db):
+        mock_db._mock_cursor.fetchall.return_value = _rows_for("NVIDIA")
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"], "format": "csv"},
+            headers=_auth_header(),
+        )
+
+        zf = _open_zip(response.content)
+        manifest = json.loads(zf.read("manifest.json"))
+        assert "export_date" in manifest
+        assert "format" in manifest
+        assert "exported" in manifest
+        assert "skipped" in manifest
+
+    def test_manifest_format_field_matches_request(self, client, mock_db):
+        mock_db._mock_cursor.fetchall.return_value = _rows_for("NVIDIA")
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"], "format": "pdf"},
+            headers=_auth_header(),
+        )
+
+        zf = _open_zip(response.content)
+        manifest = json.loads(zf.read("manifest.json"))
+        assert manifest["format"] == "pdf"
+
+
+# ---------------------------------------------------------------------------
+# Input validation
+# ---------------------------------------------------------------------------
+
+
+class TestBatchExportInputValidation:
+    """Invalid request bodies must return 422."""
+
+    def test_invalid_format_returns_422(self, client):
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"], "format": "xlsx"},
+            headers=_auth_header(),
+        )
+        assert response.status_code == 422
+
+    def test_empty_companies_list_returns_422(self, client):
+        response = client.post(
+            "/export/batch",
+            json={"companies": [], "format": "csv"},
+            headers=_auth_header(),
+        )
+        assert response.status_code == 422
+
+    def test_default_format_is_csv(self, client, mock_db):
+        """Omitting `format` should default to CSV."""
+        mock_db._mock_cursor.fetchall.return_value = _rows_for("NVIDIA")
+
+        response = client.post(
+            "/export/batch",
+            json={"companies": ["NVIDIA"]},
+            headers=_auth_header(),
+        )
+
+        assert response.status_code == 200
+        zf = _open_zip(response.content)
+        manifest = json.loads(zf.read("manifest.json"))
+        assert manifest["format"] == "csv"

tests/test_company_name_validation.py

@@ -0,0 +1,157 @@
+"""Tests for company name input validation on analysis endpoints."""
+
+from datetime import datetime
+from unittest.mock import Mock
+
+import pytest
+from fastapi.testclient import TestClient
+
+from SPARC.api import app
+from SPARC.types import CompanyAnalysisResult
+
+
+@pytest.fixture
+def client():
+    """Create test client."""
+    return TestClient(app)
+
+
+@pytest.fixture
+def mock_analyzer(mocker):
+    """Mock the global analyzer so valid requests succeed."""
+    mock = Mock()
+    mock._analyze_company_safe.return_value = CompanyAnalysisResult(
+        company_name="nvidia",
+        analysis="Test analysis",
+        patent_count=1,
+        success=True,
+        timestamp=datetime.now(),
+    )
+    mocker.patch("SPARC.api._analyzer", mock)
+    return mock
+
+
+class TestCompanyNameValidation:
+    """Test that company names are validated on analysis endpoints."""
+
+    # --- Too short ---
+
+    def test_single_char_rejected(self, client, mock_analyzer):
+        """A one-character company name should be rejected."""
+        response = client.get("/analyze/X")
+        assert response.status_code == 422
+
+    # --- Too long ---
+
+    def test_over_100_chars_rejected(self, client, mock_analyzer):
+        """A company name longer than 100 characters should be rejected."""
+        long_name = "A" * 101
+        response = client.get(f"/analyze/{long_name}")
+        assert response.status_code == 422
+
+    # --- Special characters ---
+
+    @pytest.mark.parametrize(
+        "bad_name",
+        [
+            "nvidia!",
+            "intel@corp",
+            "test#company",
+            "foo$bar",
+            "a%b",
+            "x^y",
+            "semi;colon",
+            "drop'table",
+            'say"hello',
+            "path/traversal",
+            "back\\slash",
+            "pipe|char",
+            "star*glob",
+            "question?mark",
+            "<script>",
+            "curly{brace}",
+            "equal=sign",
+            "plus+plus",
+            "comma,separated",
+        ],
+    )
+    def test_special_chars_rejected(self, client, mock_analyzer, bad_name):
+        """Company names with disallowed special characters should be rejected."""
+        response = client.get(f"/analyze/{bad_name}")
+        assert response.status_code == 422
+
+    # --- Valid names ---
+
+    @pytest.mark.parametrize(
+        "valid_name",
+        [
+            "nvidia",
+            "Intel",
+            "TSMC",
+            "Texas Instruments",
+            "Johnson-Johnson",
+            "AT&T",
+            "St. Jude Medical",
+            "3M",
+            "21st Century Fox",
+            "ab",  # minimum length
+            "A" * 100,  # maximum length
+        ],
+    )
+    def test_valid_names_accepted(self, client, mock_analyzer, valid_name):
+        """Valid company names should be accepted (200, not 422)."""
+        response = client.get(f"/analyze/{valid_name}")
+        # Should not be a validation error; 200 or other non-422 status is fine
+        assert response.status_code != 422
+
+    # --- Batch endpoint validation ---
+
+    def test_batch_too_short_rejected(self, client, mock_analyzer):
+        """Batch endpoint should reject company names that are too short."""
+        response = client.post(
+            "/analyze/batch",
+            json={"companies": ["X"]},
+        )
+        assert response.status_code == 422
+
+    def test_batch_too_long_rejected(self, client, mock_analyzer):
+        """Batch endpoint should reject company names that are too long."""
+        response = client.post(
+            "/analyze/batch",
+            json={"companies": ["A" * 101]},
+        )
+        assert response.status_code == 422
+
+    def test_batch_special_chars_rejected(self, client, mock_analyzer):
+        """Batch endpoint should reject company names with special chars."""
+        response = client.post(
+            "/analyze/batch",
+            json={"companies": ["nvidia!", "intel"]},
+        )
+        assert response.status_code == 422
+
+    def test_batch_valid_names_accepted(self, client, mock_analyzer):
+        """Batch endpoint should accept valid company names."""
+        response = client.post(
+            "/analyze/batch",
+            json={"companies": ["nvidia", "Intel", "AT&T"]},
+        )
+        assert response.status_code != 422
+
+    # --- Name must start with alphanumeric ---
+
+    def test_leading_space_rejected(self, client, mock_analyzer):
+        """Company name starting with a space should be rejected."""
+        response = client.post(
+            "/analyze/batch",
+            json={"companies": [" nvidia"]},
+        )
+        assert response.status_code == 422
+
+    def test_leading_hyphen_rejected(self, client, mock_analyzer):
+        """Company name starting with a hyphen should be rejected."""
+        response = client.post(
+            "/analyze/batch",
+            json={"companies": ["-nvidia"]},
+        )
+        assert response.status_code == 422

tests/test_export.py

@@ -0,0 +1,224 @@
+"""Tests for export endpoints: CSV and PDF export of analysis results.
+
+Covers issue #1655:
+- GET /export/{company_name} (CSV export)
+- GET /export/{company_name}/pdf (PDF export)
+
+All tests mock the database layer and use JWT auth fixtures from test_auth patterns.
+"""
+
+from datetime import datetime, timezone
+from unittest.mock import MagicMock, patch
+
+import pytest
+from fastapi.testclient import TestClient
+
+from SPARC.api import app
+from SPARC.auth import create_access_token
+
+
+@pytest.fixture
+def client():
+    """Create test client."""
+    return TestClient(app)
+
+
+@pytest.fixture(autouse=True)
+def mock_db():
+    """Mock the database client used by export and auth endpoints."""
+    db = MagicMock()
+
+    # Default: user exists for auth
+    db.get_user_by_id.return_value = {
+        "id": 1,
+        "email": "user@test.com",
+        "role": "user",
+        "created_at": datetime(2025, 1, 1, tzinfo=timezone.utc),
+    }
+
+    # Mock get_conn for export queries
+    mock_cursor = MagicMock()
+    mock_conn = MagicMock()
+    mock_conn.cursor.return_value.__enter__ = MagicMock(return_value=mock_cursor)
+    mock_conn.cursor.return_value.__exit__ = MagicMock(return_value=False)
+    db.get_conn.return_value.__enter__ = MagicMock(return_value=mock_conn)
+    db.get_conn.return_value.__exit__ = MagicMock(return_value=False)
+    db._mock_cursor = mock_cursor
+
+    with patch("SPARC.api.get_db_client", return_value=db), \
+         patch("SPARC.auth.get_db_client", return_value=db):
+        yield db
+
+
+def _auth_header():
+    """Create an Authorization header with a valid access token."""
+    token = create_access_token(1, "user@test.com", "user")
+    return {"Authorization": f"Bearer {token}"}
+
+
+def _sample_rows():
+    """Return sample llm_messages rows as tuples (matching cursor.fetchall format)."""
+    return [
+        (
+            "NVIDIA",
+            "company_analysis",
+            "anthropic/claude-3.5-sonnet",
+            "Strong AI patent portfolio with focus on GPU architectures.",
+            datetime(2025, 6, 15, 10, 30, 0),
+        ),
+        (
+            "NVIDIA",
+            "patent_analysis",
+            "openai/gpt-4o",
+            "Patent US-12345678-B2 covers novel tensor core design.",
+            datetime(2025, 6, 14, 9, 0, 0),
+        ),
+    ]
+
+
+class TestCSVExport:
+    """GET /export/{company_name} -- CSV export."""
+
+    def test_csv_export_success(self, client, mock_db):
+        """Valid company with results returns a CSV file."""
+        mock_db._mock_cursor.fetchall.return_value = _sample_rows()
+
+        response = client.get("/export/NVIDIA", headers=_auth_header())
+
+        assert response.status_code == 200
+        assert response.headers["content-type"].startswith("text/csv")
+        assert "attachment" in response.headers.get("content-disposition", "")
+        assert "sparc_nvidia_export.csv" in response.headers["content-disposition"]
+
+        # Verify CSV content (CSV uses \r\n line endings)
+        lines = response.text.strip().split("\n")
+        assert len(lines) == 3  # header + 2 data rows
+        assert lines[0].strip() == "company_name,analysis_type,model,analysis,timestamp"
+        assert "NVIDIA" in lines[1]
+        assert "company_analysis" in lines[1]
+
+    def test_csv_export_no_results_returns_404(self, client, mock_db):
+        """Unknown company returns 404."""
+        mock_db._mock_cursor.fetchall.return_value = []
+
+        response = client.get("/export/nonexistent", headers=_auth_header())
+
+        assert response.status_code == 404
+        assert "No analysis results found" in response.json()["detail"]
+
+    def test_csv_export_unauthenticated_returns_401(self, client):
+        """Request without token returns 401."""
+        response = client.get("/export/NVIDIA")
+        assert response.status_code == 401
+
+    def test_csv_export_invalid_token_returns_401(self, client):
+        """Request with invalid token returns 401."""
+        response = client.get(
+            "/export/NVIDIA",
+            headers={"Authorization": "Bearer invalid.token.here"},
+        )
+        assert response.status_code == 401
+
+    def test_csv_export_filename_sanitization(self, client, mock_db):
+        """Company names with spaces get sanitized in the filename."""
+        mock_db._mock_cursor.fetchall.return_value = [
+            (
+                "Tesla Motors",
+                "company_analysis",
+                "anthropic/claude-3.5-sonnet",
+                "EV patent portfolio analysis.",
+                datetime(2025, 6, 15, 10, 0, 0),
+            ),
+        ]
+
+        response = client.get("/export/Tesla Motors", headers=_auth_header())
+
+        assert response.status_code == 200
+        assert "tesla_motors" in response.headers["content-disposition"]
+
+    def test_csv_export_single_row(self, client, mock_db):
+        """Single analysis result produces valid CSV with one data row."""
+        mock_db._mock_cursor.fetchall.return_value = [_sample_rows()[0]]
+
+        response = client.get("/export/NVIDIA", headers=_auth_header())
+
+        assert response.status_code == 200
+        lines = response.text.strip().split("\n")
+        assert len(lines) == 2  # header + 1 data row
+
+
+class TestPDFExport:
+    """GET /export/{company_name}/pdf -- PDF report export."""
+
+    def test_pdf_export_success(self, client, mock_db):
+        """Valid company with results returns a PDF file."""
+        mock_db._mock_cursor.fetchall.return_value = _sample_rows()
+
+        response = client.get("/export/NVIDIA/pdf", headers=_auth_header())
+
+        assert response.status_code == 200
+        assert response.headers["content-type"] == "application/pdf"
+        assert "attachment" in response.headers.get("content-disposition", "")
+        # PDF files start with %PDF
+        assert response.content[:4] == b"%PDF"
+
+    def test_pdf_export_no_results_returns_404(self, client, mock_db):
+        """Unknown company returns 404."""
+        mock_db._mock_cursor.fetchall.return_value = []
+
+        response = client.get("/export/nonexistent/pdf", headers=_auth_header())
+
+        assert response.status_code == 404
+        assert "No analysis results found" in response.json()["detail"]
+
+    def test_pdf_export_unauthenticated_returns_401(self, client):
+        """Request without token returns 401."""
+        response = client.get("/export/NVIDIA/pdf")
+        assert response.status_code == 401
+
+    def test_pdf_export_invalid_token_returns_401(self, client):
+        """Request with invalid token returns 401."""
+        response = client.get(
+            "/export/NVIDIA/pdf",
+            headers={"Authorization": "Bearer invalid.token.here"},
+        )
+        assert response.status_code == 401
+
+    def test_pdf_export_filename_contains_date(self, client, mock_db):
+        """PDF filename includes the analysis date."""
+        mock_db._mock_cursor.fetchall.return_value = _sample_rows()
+
+        response = client.get("/export/NVIDIA/pdf", headers=_auth_header())
+
+        assert response.status_code == 200
+        disposition = response.headers["content-disposition"]
+        assert "nvidia-analysis-" in disposition
+        assert ".pdf" in disposition
+
+    def test_pdf_export_special_chars_in_response(self, client, mock_db):
+        """Analysis text with XML-special chars (<, >, &) does not break PDF generation."""
+        rows = [
+            (
+                "TestCo",
+                "company_analysis",
+                "anthropic/claude-3.5-sonnet",
+                "Revenue > $1B & growth <20% for Q4. Test <html> escaping.",
+                datetime(2025, 6, 15, 10, 0, 0),
+            ),
+        ]
+        mock_db._mock_cursor.fetchall.return_value = rows
+
+        response = client.get("/export/TestCo/pdf", headers=_auth_header())
+
+        assert response.status_code == 200
+        assert response.content[:4] == b"%PDF"
+
+    def test_pdf_export_multiple_analyses(self, client, mock_db):
+        """Multiple analysis records produce a valid PDF with content."""
+        mock_db._mock_cursor.fetchall.return_value = _sample_rows()
+
+        response = client.get("/export/NVIDIA/pdf", headers=_auth_header())
+
+        assert response.status_code == 200
+        # PDF should have reasonable size (more than just headers)
+        assert len(response.content) > 500

tests/test_pagination.py

@@ -0,0 +1,169 @@
+"""Tests for cursor-based pagination on /analyze/batch GET and /jobs endpoints."""
+
+from datetime import datetime, timedelta
+from unittest.mock import Mock, patch
+
+import pytest
+from fastapi.testclient import TestClient
+
+from SPARC.api import app
+
+
+@pytest.fixture
+def client():
+    """Create test client."""
+    return TestClient(app)
+
+
+def _make_analysis_row(id_: int, minutes_ago: int = 0, company: str = "nvidia"):
+    """Create a fake analysis row dict."""
+    ts = datetime.now() - timedelta(minutes=minutes_ago)
+    return {
+        "id": id_,
+        "company_name": company,
+        "analysis_type": "patent_portfolio",
+        "model": "openai/gpt-4o",
+        "response": f"Analysis for {company}",
+        "timestamp": ts,
+    }
+
+
+def _make_job_row(job_id: str, minutes_ago: int = 0, status: str = "completed"):
+    """Create a fake job row dict."""
+    ts = datetime.now() - timedelta(minutes=minutes_ago)
+    return {
+        "job_id": job_id,
+        "status": status,
+        "progress": 100 if status == "completed" else 0,
+        "total_companies": 1,
+        "completed_companies": 1 if status == "completed" else 0,
+        "result": None,
+        "error": None,
+        "created_at": ts,
+    }
+
+
+class TestAnalyzeBatchGetPagination:
+    """Test cursor-based pagination on GET /analyze/batch."""
+
+    @patch("SPARC.api._get_job_db")
+    def test_returns_items_and_no_cursor_when_less_than_limit(self, mock_get_db, client):
+        """When fewer results than limit, next_cursor should be null."""
+        db = Mock()
+        db.list_analyses.return_value = [
+            _make_analysis_row(1, minutes_ago=10),
+            _make_analysis_row(2, minutes_ago=20),
+        ]
+        mock_get_db.return_value = db
+
+        response = client.get("/analyze/batch?limit=10")
+        assert response.status_code == 200
+        data = response.json()
+        assert len(data["items"]) == 2
+        assert data["next_cursor"] is None
+
+    @patch("SPARC.api._get_job_db")
+    def test_returns_cursor_when_more_results_exist(self, mock_get_db, client):
+        """When more results exist than limit, next_cursor should be set."""
+        db = Mock()
+        # Return limit+1 rows to simulate more data
+        rows = [_make_analysis_row(i, minutes_ago=i) for i in range(4)]
+        db.list_analyses.return_value = rows
+        mock_get_db.return_value = db
+
+        response = client.get("/analyze/batch?limit=3")
+        assert response.status_code == 200
+        data = response.json()
+        assert len(data["items"]) == 3
+        assert data["next_cursor"] is not None
+
+    @patch("SPARC.api._get_job_db")
+    def test_cursor_passed_to_db(self, mock_get_db, client):
+        """The cursor query param should be forwarded to the database layer."""
+        db = Mock()
+        db.list_analyses.return_value = []
+        mock_get_db.return_value = db
+
+        client.get("/analyze/batch?cursor=2025-01-01T00:00:00|42")
+        db.list_analyses.assert_called_once()
+        call_kwargs = db.list_analyses.call_args
+        assert call_kwargs.kwargs.get("cursor") == "2025-01-01T00:00:00|42" or \
+            (call_kwargs[1].get("cursor") == "2025-01-01T00:00:00|42" if len(call_kwargs) > 1 else False)
+
+    @patch("SPARC.api._get_job_db")
+    def test_default_limit_is_50(self, mock_get_db, client):
+        """Default limit should be 50."""
+        db = Mock()
+        db.list_analyses.return_value = []
+        mock_get_db.return_value = db
+
+        client.get("/analyze/batch")
+        call_kwargs = db.list_analyses.call_args
+        # The endpoint requests limit+1 from DB, so 51
+        assert 51 in call_kwargs.args or call_kwargs.kwargs.get("limit") == 51
+
+    def test_limit_over_200_rejected(self, client):
+        """Limit > 200 should be rejected with 422."""
+        response = client.get("/analyze/batch?limit=201")
+        assert response.status_code == 422
+
+    def test_limit_zero_rejected(self, client):
+        """Limit < 1 should be rejected with 422."""
+        response = client.get("/analyze/batch?limit=0")
+        assert response.status_code == 422
+
+    @patch("SPARC.api._get_job_db")
+    def test_company_name_filter(self, mock_get_db, client):
+        """The company_name filter should be forwarded to the database."""
+        db = Mock()
+        db.list_analyses.return_value = []
+        mock_get_db.return_value = db
+
+        client.get("/analyze/batch?company_name=intel")
+        call_kwargs = db.list_analyses.call_args
+        assert call_kwargs.kwargs.get("company_name") == "intel" or \
+            "intel" in (call_kwargs.args if call_kwargs.args else [])
+
+    @patch("SPARC.api._get_job_db")
+    def test_empty_result_set(self, mock_get_db, client):
+        """Empty result set returns empty items and null cursor."""
+        db = Mock()
+        db.list_analyses.return_value = []
+        mock_get_db.return_value = db
+
+        response = client.get("/analyze/batch")
+        assert response.status_code == 200
+        data = response.json()
+        assert data["items"] == []
+        assert data["next_cursor"] is None
+
+
+class TestJobsPaginationDefaults:
+    """Test that /jobs endpoint uses updated defaults."""
+
+    @patch("SPARC.api._get_job_db")
+    def test_default_limit_is_50(self, mock_get_db, client):
+        """Default limit should now be 50."""
+        db = Mock()
+        db.list_jobs.return_value = []
+        mock_get_db.return_value = db
+
+        client.get("/jobs")
+        call_kwargs = db.list_jobs.call_args
+        # Endpoint requests limit+1 from DB, so 51
+        assert 51 in call_kwargs.args or call_kwargs.kwargs.get("limit") == 51
+
+    def test_limit_over_200_rejected(self, client):
+        """Limit > 200 should be rejected with 422."""
+        response = client.get("/jobs?limit=201")
+        assert response.status_code == 422
+
+    @patch("SPARC.api._get_job_db")
+    def test_limit_200_accepted(self, mock_get_db, client):
+        """Limit of exactly 200 should be accepted."""
+        db = Mock()
+        db.list_jobs.return_value = []
+        mock_get_db.return_value = db
+
+        response = client.get("/jobs?limit=200")
+        assert response.status_code == 200

tests/test_rate_limit_admin.py

@@ -0,0 +1,109 @@
+"""Tests for the /admin/rate-limits endpoint."""
+
+from unittest.mock import patch
+
+import pytest
+from fastapi.testclient import TestClient
+
+from SPARC import api
+from SPARC.api import app
+from SPARC.auth import UserResponse
+
+
+@pytest.fixture
+def client():
+    """Create test client."""
+    return TestClient(app)
+
+
+@pytest.fixture(autouse=True)
+def reset_stats():
+    """Reset rate limit stats between tests."""
+    api._rate_limit_stats.clear()
+    yield
+    api._rate_limit_stats.clear()
+
+
+def _mock_admin():
+    """Return a mock admin user."""
+    return UserResponse(id=1, email="admin@test.com", role="admin", created_at="2025-01-01T00:00:00")
+
+
+def _mock_user():
+    """Return a mock non-admin user."""
+    return UserResponse(id=2, email="user@test.com", role="user", created_at="2025-01-01T00:00:00")
+
+
+class TestRateLimitAdminEndpoint:
+    """Test GET /admin/rate-limits."""
+
+    def test_admin_can_access(self, client):
+        """Admin users should be able to access the rate-limits endpoint."""
+        app.dependency_overrides[api.get_current_admin] = _mock_admin
+        try:
+            response = client.get("/admin/rate-limits")
+            assert response.status_code == 200
+            data = response.json()
+            assert "rate_limits" in data
+            assert isinstance(data["rate_limits"], list)
+        finally:
+            app.dependency_overrides.clear()
+
+    def test_non_admin_rejected(self, client):
+        """Non-admin users should get 403."""
+        # Without overriding the dependency, it should fail auth
+        response = client.get("/admin/rate-limits")
+        assert response.status_code in (401, 403)
+
+    def test_returns_configured_endpoints(self, client):
+        """Should list all rate-limited endpoints."""
+        app.dependency_overrides[api.get_current_admin] = _mock_admin
+        try:
+            response = client.get("/admin/rate-limits")
+            assert response.status_code == 200
+            data = response.json()
+            endpoints = [rl["endpoint"] for rl in data["rate_limits"]]
+            assert "/auth/register" in endpoints
+            assert "/auth/login" in endpoints
+        finally:
+            app.dependency_overrides.clear()
+
+    def test_empty_state_shows_zero_counts(self, client):
+        """When no requests have been made, counts should be zero."""
+        app.dependency_overrides[api.get_current_admin] = _mock_admin
+        try:
+            response = client.get("/admin/rate-limits")
+            data = response.json()
+            for rl in data["rate_limits"]:
+                assert rl["total_requests"] == 0
+                assert rl["rejected_requests"] == 0
+        finally:
+            app.dependency_overrides.clear()
+
+    def test_tracks_requests(self, client):
+        """After making requests, the stats should reflect them."""
+        api._track_rate_limit_request("/auth/login", "127.0.0.1")
+        api._track_rate_limit_request("/auth/login", "127.0.0.1")
+        api._track_rate_limit_request("/auth/login", "192.168.1.1", rejected=True)
+
+        app.dependency_overrides[api.get_current_admin] = _mock_admin
+        try:
+            response = client.get("/admin/rate-limits")
+            data = response.json()
+            login_stats = next(rl for rl in data["rate_limits"] if rl["endpoint"] == "/auth/login")
+            assert login_stats["total_requests"] == 3
+            assert login_stats["rejected_requests"] == 1
+        finally:
+            app.dependency_overrides.clear()
+
+    def test_includes_limit_config(self, client):
+        """Each endpoint entry should include the rate limit config string."""
+        app.dependency_overrides[api.get_current_admin] = _mock_admin
+        try:
+            response = client.get("/admin/rate-limits")
+            data = response.json()
+            for rl in data["rate_limits"]:
+                assert "limit" in rl
+                assert isinstance(rl["limit"], str)
+        finally:
+            app.dependency_overrides.clear()

tests/test_tracked_companies.py

@@ -0,0 +1,387 @@
+"""Tests for tracked company admin endpoints and scheduler integration.
+
+Covers issue #1656:
+- GET /admin/tracked (list tracked companies)
+- POST /admin/tracked (add a tracked company)
+- DELETE /admin/tracked/{company_name} (remove a tracked company)
+- GET /admin/alerts (list alerts)
+- scheduler.run_scheduled_analysis() integration
+
+All tests mock the database layer and use JWT auth fixtures.
+"""
+
+from datetime import datetime, timezone
+from unittest.mock import MagicMock, patch, call
+
+import pytest
+from fastapi.testclient import TestClient
+
+from SPARC.api import app
+from SPARC.auth import create_access_token
+
+
+@pytest.fixture
+def client():
+    """Create test client."""
+    return TestClient(app)
+
+
+@pytest.fixture(autouse=True)
+def mock_db():
+    """Mock the database client used by admin and auth endpoints."""
+    db = MagicMock()
+
+    # Default admin user for auth
+    db.get_user_by_id.return_value = {
+        "id": 1,
+        "email": "admin@test.com",
+        "role": "admin",
+        "created_at": datetime(2025, 1, 1, tzinfo=timezone.utc),
+    }
+
+    with patch("SPARC.api.get_db_client", return_value=db), \
+         patch("SPARC.auth.get_db_client", return_value=db):
+        yield db
+
+
+def _admin_header():
+    """Create an Authorization header with a valid admin access token."""
+    token = create_access_token(1, "admin@test.com", "admin")
+    return {"Authorization": f"Bearer {token}"}
+
+
+def _user_header():
+    """Create an Authorization header with a regular user access token."""
+    token = create_access_token(2, "user@test.com", "user")
+    return {"Authorization": f"Bearer {token}"}
+
+
+# ---------- GET /admin/tracked ----------
+
+class TestListTrackedCompanies:
+    """GET /admin/tracked"""
+
+    def test_list_tracked_returns_companies(self, client, mock_db):
+        """Admin can list tracked companies."""
+        mock_db.list_tracked_companies.return_value = [
+            {"company_name": "NVIDIA", "last_patent_count": 120, "last_analyzed": "2025-06-15"},
+            {"company_name": "AMD", "last_patent_count": 80, "last_analyzed": "2025-06-14"},
+        ]
+
+        response = client.get("/admin/tracked", headers=_admin_header())
+
+        assert response.status_code == 200
+        data = response.json()
+        assert len(data) == 2
+        assert data[0]["company_name"] == "NVIDIA"
+
+    def test_list_tracked_empty(self, client, mock_db):
+        """Returns empty list when no companies are tracked."""
+        mock_db.list_tracked_companies.return_value = []
+
+        response = client.get("/admin/tracked", headers=_admin_header())
+
+        assert response.status_code == 200
+        assert response.json() == []
+
+    def test_list_tracked_requires_admin(self, client, mock_db):
+        """Regular user cannot access tracked companies list."""
+        mock_db.get_user_by_id.return_value = {
+            "id": 2,
+            "email": "user@test.com",
+            "role": "user",
+            "created_at": datetime(2025, 1, 1, tzinfo=timezone.utc),
+        }
+
+        response = client.get("/admin/tracked", headers=_user_header())
+
+        assert response.status_code == 403
+
+    def test_list_tracked_unauthenticated(self, client):
+        """Unauthenticated request returns 401."""
+        response = client.get("/admin/tracked")
+        assert response.status_code == 401
+
+
+# ---------- POST /admin/tracked ----------
+
+class TestAddTrackedCompany:
+    """POST /admin/tracked"""
+
+    def test_add_tracked_company_success(self, client, mock_db):
+        """Admin can add a company to tracking."""
+        mock_db.add_tracked_company.return_value = {
+            "company_name": "Intel",
+            "last_patent_count": 0,
+            "last_analyzed": None,
+        }
+
+        response = client.post(
+            "/admin/tracked",
+            json={"company_name": "Intel"},
+            headers=_admin_header(),
+        )
+
+        assert response.status_code == 200
+        data = response.json()
+        assert data["company_name"] == "Intel"
+        mock_db.add_tracked_company.assert_called_once_with("Intel")
+
+    def test_add_duplicate_returns_409(self, client, mock_db):
+        """Adding an already-tracked company returns 409."""
+        mock_db.add_tracked_company.return_value = None
+
+        response = client.post(
+            "/admin/tracked",
+            json={"company_name": "NVIDIA"},
+            headers=_admin_header(),
+        )
+
+        assert response.status_code == 409
+        assert "already tracked" in response.json()["detail"].lower()
+
+    def test_add_tracked_requires_admin(self, client, mock_db):
+        """Regular user cannot add tracked companies."""
+        mock_db.get_user_by_id.return_value = {
+            "id": 2,
+            "email": "user@test.com",
+            "role": "user",
+            "created_at": datetime(2025, 1, 1, tzinfo=timezone.utc),
+        }
+
+        response = client.post(
+            "/admin/tracked",
+            json={"company_name": "Intel"},
+            headers=_user_header(),
+        )
+
+        assert response.status_code == 403
+
+    def test_add_tracked_empty_name_rejected(self, client):
+        """Empty company name is rejected by validation."""
+        response = client.post(
+            "/admin/tracked",
+            json={"company_name": ""},
+            headers=_admin_header(),
+        )
+
+        assert response.status_code == 422  # Pydantic validation error
+
+
+# ---------- DELETE /admin/tracked/{company_name} ----------
+
+class TestRemoveTrackedCompany:
+    """DELETE /admin/tracked/{company_name}"""
+
+    def test_remove_tracked_company_success(self, client, mock_db):
+        """Admin can remove a tracked company."""
+        mock_db.remove_tracked_company.return_value = True
+
+        response = client.delete(
+            "/admin/tracked/NVIDIA",
+            headers=_admin_header(),
+        )
+
+        assert response.status_code == 200
+        assert "Stopped tracking" in response.json()["message"]
+        mock_db.remove_tracked_company.assert_called_once_with("NVIDIA")
+
+    def test_remove_nonexistent_returns_404(self, client, mock_db):
+        """Removing a non-tracked company returns 404."""
+        mock_db.remove_tracked_company.return_value = False
+
+        response = client.delete(
+            "/admin/tracked/UnknownCorp",
+            headers=_admin_header(),
+        )
+
+        assert response.status_code == 404
+        assert "not found" in response.json()["detail"].lower()
+
+    def test_remove_tracked_requires_admin(self, client, mock_db):
+        """Regular user cannot remove tracked companies."""
+        mock_db.get_user_by_id.return_value = {
+            "id": 2,
+            "email": "user@test.com",
+            "role": "user",
+            "created_at": datetime(2025, 1, 1, tzinfo=timezone.utc),
+        }
+
+        response = client.delete(
+            "/admin/tracked/NVIDIA",
+            headers=_user_header(),
+        )
+
+        assert response.status_code == 403
+
+
+# ---------- GET /admin/alerts ----------
+
+class TestListAlerts:
+    """GET /admin/alerts"""
+
+    def test_list_alerts_returns_data(self, client, mock_db):
+        """Admin can list alerts."""
+        mock_db.list_alerts.return_value = [
+            {
+                "id": 1,
+                "company_name": "NVIDIA",
+                "alert_type": "patent_count_change",
+                "message": "Patent count increased by 25%",
+                "created_at": "2025-06-15T10:00:00Z",
+            },
+        ]
+
+        response = client.get("/admin/alerts", headers=_admin_header())
+
+        assert response.status_code == 200
+        data = response.json()
+        assert len(data) == 1
+        assert data[0]["alert_type"] == "patent_count_change"
+
+    def test_list_alerts_with_limit(self, client, mock_db):
+        """Custom limit parameter is passed to the database."""
+        mock_db.list_alerts.return_value = []
+
+        response = client.get("/admin/alerts?limit=10", headers=_admin_header())
+
+        assert response.status_code == 200
+        mock_db.list_alerts.assert_called_once_with(limit=10)
+
+    def test_list_alerts_requires_admin(self, client, mock_db):
+        """Regular user cannot access alerts."""
+        mock_db.get_user_by_id.return_value = {
+            "id": 2,
+            "email": "user@test.com",
+            "role": "user",
+            "created_at": datetime(2025, 1, 1, tzinfo=timezone.utc),
+        }
+
+        response = client.get("/admin/alerts", headers=_user_header())
+
+        assert response.status_code == 403
+
+
+# ---------- Scheduler integration ----------
+
+class TestSchedulerIntegration:
+    """Tests for scheduler.run_scheduled_analysis()."""
+
+    def test_no_tracked_companies_skips_analysis(self):
+        """Scheduler does nothing when no companies are tracked."""
+        mock_db = MagicMock()
+        mock_db.list_tracked_companies.return_value = []
+
+        with patch("SPARC.scheduler.get_db_client", return_value=mock_db), \
+             patch("SPARC.scheduler.CompanyAnalyzer") as mock_analyzer_cls:
+            from SPARC.scheduler import run_scheduled_analysis
+            run_scheduled_analysis()
+
+        mock_analyzer_cls.assert_not_called()
+
+    def test_scheduler_analyzes_each_tracked_company(self):
+        """Scheduler runs analysis for every tracked company."""
+        mock_db = MagicMock()
+        mock_db.list_tracked_companies.return_value = [
+            {"company_name": "NVIDIA", "last_patent_count": 100},
+            {"company_name": "AMD", "last_patent_count": 50},
+        ]
+
+        mock_result_nvidia = MagicMock(success=True, patent_count=110)
+        mock_result_amd = MagicMock(success=True, patent_count=55)
+        mock_analyzer = MagicMock()
+        mock_analyzer._analyze_company_safe.side_effect = [mock_result_nvidia, mock_result_amd]
+
+        with patch("SPARC.scheduler.get_db_client", return_value=mock_db), \
+             patch("SPARC.scheduler.CompanyAnalyzer", return_value=mock_analyzer):
+            from SPARC.scheduler import run_scheduled_analysis
+            run_scheduled_analysis()
+
+        assert mock_analyzer._analyze_company_safe.call_count == 2
+        mock_db.update_tracked_company.assert_any_call("NVIDIA", 110)
+        mock_db.update_tracked_company.assert_any_call("AMD", 55)
+
+    def test_scheduler_triggers_alert_on_significant_change(self):
+        """Scheduler stores an alert when patent count changes significantly."""
+        mock_db = MagicMock()
+        mock_db.list_tracked_companies.return_value = [
+            {"company_name": "Tesla", "last_patent_count": 100},
+        ]
+
+        mock_result = MagicMock(success=True, patent_count=130)  # 30% increase
+        mock_analyzer = MagicMock()
+        mock_analyzer._analyze_company_safe.return_value = mock_result
+
+        with patch("SPARC.scheduler.get_db_client", return_value=mock_db), \
+             patch("SPARC.scheduler.CompanyAnalyzer", return_value=mock_analyzer):
+            from SPARC.scheduler import run_scheduled_analysis
+            run_scheduled_analysis()
+
+        mock_db.store_alert.assert_called_once()
+        alert_kwargs = mock_db.store_alert.call_args
+        assert alert_kwargs[1]["company_name"] == "Tesla"
+        assert alert_kwargs[1]["alert_type"] == "patent_count_change"
+        assert alert_kwargs[1]["old_value"] == 100
+        assert alert_kwargs[1]["new_value"] == 130
+
+    def test_scheduler_no_alert_for_small_change(self):
+        """Scheduler does not alert when change is below threshold."""
+        mock_db = MagicMock()
+        mock_db.list_tracked_companies.return_value = [
+            {"company_name": "Intel", "last_patent_count": 100},
+        ]
+
+        mock_result = MagicMock(success=True, patent_count=105)  # 5% increase
+        mock_analyzer = MagicMock()
+        mock_analyzer._analyze_company_safe.return_value = mock_result
+
+        with patch("SPARC.scheduler.get_db_client", return_value=mock_db), \
+             patch("SPARC.scheduler.CompanyAnalyzer", return_value=mock_analyzer):
+            from SPARC.scheduler import run_scheduled_analysis
+            run_scheduled_analysis()
+
+        mock_db.store_alert.assert_not_called()
+
+    def test_scheduler_handles_analysis_failure(self):
+        """Scheduler continues when one company fails analysis."""
+        mock_db = MagicMock()
+        mock_db.list_tracked_companies.return_value = [
+            {"company_name": "FailCo", "last_patent_count": 50},
+            {"company_name": "SuccessCo", "last_patent_count": 30},
+        ]
+
+        mock_fail_result = MagicMock(success=False, error="API timeout")
+        mock_ok_result = MagicMock(success=True, patent_count=35)
+        mock_analyzer = MagicMock()
+        mock_analyzer._analyze_company_safe.side_effect = [mock_fail_result, mock_ok_result]
+
+        with patch("SPARC.scheduler.get_db_client", return_value=mock_db), \
+             patch("SPARC.scheduler.CompanyAnalyzer", return_value=mock_analyzer):
+            from SPARC.scheduler import run_scheduled_analysis
+            run_scheduled_analysis()
+
+        # FailCo should not get updated, SuccessCo should
+        mock_db.update_tracked_company.assert_called_once_with("SuccessCo", 35)
+
+    def test_scheduler_handles_exception_in_analysis(self):
+        """Scheduler continues even when analysis raises an exception."""
+        mock_db = MagicMock()
+        mock_db.list_tracked_companies.return_value = [
+            {"company_name": "CrashCo", "last_patent_count": 10},
+            {"company_name": "OKCo", "last_patent_count": 20},
+        ]
+
+        mock_ok_result = MagicMock(success=True, patent_count=22)
+        mock_analyzer = MagicMock()
+        mock_analyzer._analyze_company_safe.side_effect = [
+            RuntimeError("unexpected error"),
+            mock_ok_result,
+        ]
+
+        with patch("SPARC.scheduler.get_db_client", return_value=mock_db), \
+             patch("SPARC.scheduler.CompanyAnalyzer", return_value=mock_analyzer):
+            from SPARC.scheduler import run_scheduled_analysis
+            run_scheduled_analysis()
+
+        # OKCo should still be processed
+        mock_db.update_tracked_company.assert_called_once_with("OKCo", 22)

tests/test_webhooks.py

@@ -0,0 +1,280 @@
+"""Tests for webhook notification system: retry logic and Slack/Discord payload format.
+
+Covers issue #1657:
+- Retry logic with exponential backoff in _send_with_retry
+- Slack/Discord payload formatting in _build_payload
+- Generic HTTP POST payload formatting
+- notify() dispatching to multiple URLs
+- notify_job_completed() and notify_alert() convenience helpers
+"""
+
+from datetime import datetime
+from unittest.mock import MagicMock, patch, call
+
+import pytest
+import requests
+
+from SPARC.webhooks import (
+    MAX_RETRIES,
+    _build_payload,
+    _is_slack_url,
+    _send_with_retry,
+    notify,
+    notify_alert,
+    notify_job_completed,
+)
+
+
+class TestIsSlackUrl:
+    """Tests for Slack/Discord URL detection."""
+
+    def test_slack_webhook_url(self):
+        assert _is_slack_url("https://hooks.slack.com/services/T00/B00/xxx") is True
+
+    def test_discord_webhook_url(self):
+        assert _is_slack_url("https://discord.com/api/webhooks/123/abc") is True
+
+    def test_generic_url(self):
+        assert _is_slack_url("https://example.com/webhook") is False
+
+    def test_empty_url(self):
+        assert _is_slack_url("") is False
+
+
+class TestBuildPayload:
+    """Tests for payload construction."""
+
+    def test_generic_payload_structure(self):
+        """Generic payload includes event type, timestamp, and data."""
+        payload = _build_payload("job_completed", {"job_id": "abc123"})
+
+        assert payload["event"] == "job_completed"
+        assert payload["job_id"] == "abc123"
+        assert "timestamp" in payload
+        # Timestamp should be ISO format ending with Z
+        assert payload["timestamp"].endswith("Z")
+
+    def test_slack_payload_wraps_in_text(self):
+        """Slack payload wraps content in a 'text' field."""
+        payload = _build_payload("patent_alert", {"company_name": "NVIDIA"}, slack=True)
+
+        assert "text" in payload
+        assert "patent_alert" in payload["text"]
+        assert "NVIDIA" in payload["text"]
+        # Slack payload should NOT have the event/timestamp at top level
+        assert "event" not in payload
+        assert "timestamp" not in payload
+
+    def test_generic_payload_does_not_have_text_field(self):
+        """Non-Slack payload does not wrap in text."""
+        payload = _build_payload("job_completed", {"status": "done"})
+
+        assert "text" not in payload
+        assert payload["status"] == "done"
+
+    def test_slack_payload_contains_bold_header(self):
+        """Slack payload starts with bold event header using Slack markdown."""
+        payload = _build_payload("job_completed", {"count": 5}, slack=True)
+
+        assert payload["text"].startswith("*[SPARC] job_completed*")
+
+    def test_payload_merges_all_data_keys(self):
+        """All data keys are included in the generic payload."""
+        data = {"key1": "val1", "key2": 42, "key3": True}
+        payload = _build_payload("test_event", data)
+
+        assert payload["key1"] == "val1"
+        assert payload["key2"] == 42
+        assert payload["key3"] is True
+
+
+class TestSendWithRetry:
+    """Tests for retry logic in _send_with_retry."""
+
+    @patch("SPARC.webhooks.time.sleep")
+    @patch("SPARC.webhooks.requests.post")
+    def test_success_on_first_attempt(self, mock_post, mock_sleep):
+        """Successful delivery on first attempt, no retries."""
+        mock_post.return_value = MagicMock(status_code=200)
+
+        result = _send_with_retry("https://example.com/hook", {"event": "test"})
+
+        assert result is True
+        mock_post.assert_called_once()
+        mock_sleep.assert_not_called()
+
+    @patch("SPARC.webhooks.time.sleep")
+    @patch("SPARC.webhooks.requests.post")
+    def test_success_on_second_attempt(self, mock_post, mock_sleep):
+        """Fails first, succeeds on retry."""
+        mock_post.side_effect = [
+            MagicMock(status_code=500),
+            MagicMock(status_code=200),
+        ]
+
+        result = _send_with_retry("https://example.com/hook", {"event": "test"})
+
+        assert result is True
+        assert mock_post.call_count == 2
+        mock_sleep.assert_called_once()
+
+    @patch("SPARC.webhooks.time.sleep")
+    @patch("SPARC.webhooks.requests.post")
+    def test_all_retries_exhausted(self, mock_post, mock_sleep):
+        """Returns False after all retries fail."""
+        mock_post.return_value = MagicMock(status_code=500)
+
+        result = _send_with_retry("https://example.com/hook", {"event": "test"})
+
+        assert result is False
+        assert mock_post.call_count == MAX_RETRIES
+        assert mock_sleep.call_count == MAX_RETRIES - 1
+
+    @patch("SPARC.webhooks.time.sleep")
+    @patch("SPARC.webhooks.requests.post")
+    def test_exponential_backoff_timing(self, mock_post, mock_sleep):
+        """Backoff wait times follow exponential pattern (2^attempt)."""
+        mock_post.return_value = MagicMock(status_code=500)
+
+        _send_with_retry("https://example.com/hook", {"event": "test"})
+
+        # With BACKOFF_BASE=2: attempt 1 -> sleep(2), attempt 2 -> sleep(4)
+        expected_waits = [call(2 ** i) for i in range(1, MAX_RETRIES)]
+        assert mock_sleep.call_args_list == expected_waits
+
+    @patch("SPARC.webhooks.time.sleep")
+    @patch("SPARC.webhooks.requests.post")
+    def test_network_error_triggers_retry(self, mock_post, mock_sleep):
+        """Network exceptions trigger retry, not immediate failure."""
+        mock_post.side_effect = [
+            requests.ConnectionError("Connection refused"),
+            MagicMock(status_code=200),
+        ]
+
+        result = _send_with_retry("https://example.com/hook", {"event": "test"})
+
+        assert result is True
+        assert mock_post.call_count == 2
+
+    @patch("SPARC.webhooks.time.sleep")
+    @patch("SPARC.webhooks.requests.post")
+    def test_timeout_error_triggers_retry(self, mock_post, mock_sleep):
+        """Timeout exceptions trigger retry."""
+        mock_post.side_effect = [
+            requests.Timeout("Request timed out"),
+            MagicMock(status_code=200),
+        ]
+
+        result = _send_with_retry("https://example.com/hook", {"event": "test"})
+
+        assert result is True
+        assert mock_post.call_count == 2
+
+    @patch("SPARC.webhooks.time.sleep")
+    @patch("SPARC.webhooks.requests.post")
+    def test_2xx_status_codes_accepted(self, mock_post, mock_sleep):
+        """Any 2xx status code is treated as success."""
+        mock_post.return_value = MagicMock(status_code=204)
+
+        result = _send_with_retry("https://example.com/hook", {"event": "test"})
+
+        assert result is True
+        mock_post.assert_called_once()
+
+    @patch("SPARC.webhooks.time.sleep")
+    @patch("SPARC.webhooks.requests.post")
+    def test_posts_json_payload(self, mock_post, mock_sleep):
+        """Payload is sent as JSON with correct timeout."""
+        mock_post.return_value = MagicMock(status_code=200)
+        payload = {"event": "test", "data": "value"}
+
+        _send_with_retry("https://example.com/hook", payload)
+
+        mock_post.assert_called_once_with(
+            "https://example.com/hook", json=payload, timeout=10
+        )
+
+
+class TestNotify:
+    """Tests for the notify() dispatcher."""
+
+    @patch("SPARC.webhooks._send_with_retry")
+    @patch("SPARC.webhooks.WEBHOOK_URLS", ["https://example.com/hook1", "https://example.com/hook2"])
+    def test_dispatches_to_all_urls(self, mock_send):
+        """notify() sends to every configured webhook URL."""
+        mock_send.return_value = True
+
+        notify("job_completed", {"job_id": "test123"})
+
+        assert mock_send.call_count == 2
+
+    @patch("SPARC.webhooks._send_with_retry")
+    @patch("SPARC.webhooks.WEBHOOK_URLS", [])
+    def test_no_urls_configured_returns_immediately(self, mock_send):
+        """No-op when no webhook URLs are configured."""
+        notify("job_completed", {"job_id": "test123"})
+
+        mock_send.assert_not_called()
+
+    @patch("SPARC.webhooks._send_with_retry")
+    @patch("SPARC.webhooks.WEBHOOK_URLS", [
+        "https://hooks.slack.com/services/T00/B00/xxx",
+        "https://example.com/generic",
+    ])
+    def test_slack_url_gets_slack_payload(self, mock_send):
+        """Slack URLs receive Slack-formatted payloads, others get generic."""
+        mock_send.return_value = True
+
+        notify("test_event", {"key": "val"})
+
+        # First call (Slack URL) should have "text" key
+        slack_payload = mock_send.call_args_list[0][0][1]
+        assert "text" in slack_payload
+
+        # Second call (generic URL) should have "event" key
+        generic_payload = mock_send.call_args_list[1][0][1]
+        assert "event" in generic_payload
+        assert generic_payload["event"] == "test_event"
+
+
+class TestNotifyJobCompleted:
+    """Tests for notify_job_completed() convenience function."""
+
+    @patch("SPARC.webhooks.notify")
+    def test_sends_correct_event_and_data(self, mock_notify):
+        """Job completion sends proper event type and summary."""
+        notify_job_completed(
+            job_id="batch-001",
+            status="completed",
+            total_companies=10,
+            successful=8,
+            failed=2,
+        )
+
+        mock_notify.assert_called_once()
+        event, data = mock_notify.call_args[0]
+        assert event == "job_completed"
+        assert data["job_id"] == "batch-001"
+        assert data["successful"] == 8
+        assert data["failed"] == 2
+        assert "8/10" in data["summary"]
+
+
+class TestNotifyAlert:
+    """Tests for notify_alert() convenience function."""
+
+    @patch("SPARC.webhooks.notify")
+    def test_sends_correct_event_and_data(self, mock_notify):
+        """Alert notification sends patent_alert event type."""
+        notify_alert(
+            company_name="NVIDIA",
+            alert_type="patent_count_change",
+            message="Patent count increased by 30%",
+        )
+
+        mock_notify.assert_called_once()
+        event, data = mock_notify.call_args[0]
+        assert event == "patent_alert"
+        assert data["company_name"] == "NVIDIA"
+        assert data["alert_type"] == "patent_count_change"
+        assert "30%" in data["message"]