Add cursor-based pagination to GET /analyze/batch and update /jobs defaults

Add a new GET /analyze/batch endpoint that returns stored analysis results
with cursor-based pagination (default limit 50, max 200). Also update the
existing /jobs endpoint defaults from limit=10/max=100 to limit=50/max=200
for consistency.

The database layer gains a list_analyses() method with cursor support using
(timestamp, id) ordering, matching the existing list_jobs() pattern.

Includes tests for pagination behavior, boundary limits, cursor forwarding,
company name filtering, and empty result sets.

Closes leeworks-agents/SPARC#1669

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

SPARC/api.py

@@ -96,6 +96,24 @@ 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."""
 
@@ -872,6 +890,58 @@ 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 +1117,7 @@ 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.
 

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_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)