# Stage 4 — Org research profiler

Nightly `profileOrgs` workflow (05:45, after matchGrants): grounded web research for orgs that already have ≥1 non-rejected easy-win match (the plan's "coarse match gates profiling" cost rule), best-scoring first, 25/night (`PROFILE_ORGS_PER_RUN`).

**Two Gemini passes per org** (`packages/outreach-ai/src/agents/org-profiler/research.ts`):
1. **Grounded research** — `gemini-2.5-flash` with the Google Search tool; `groundingMetadata` supplies the citation universe (every page actually consulted).
2. **Structured extraction** — flash constrained to a JSON schema over the research notes, citing only from that universe. Search grounding and JSON-schema output can't share one call, hence the split.

**Output** overwrites the org's NTEE stub in `org_profiles` (mission, programs w/ populations served, service geography, known funders, staff, recent news, sources, confidence). The profile embedding is rebuilt from the researched text — unless identity wasn't confirmed or confidence < 0.5, in which case the embedding stays NTEE-derived so unverified research can't steer mission fit. An identity-unconfirmed profile is stored at ≤0.3 confidence: "we looked and couldn't confirm" beats an NTEE guess, and the review UI warns on it.

**Review integration**: match detail pages render researched programs (with per-claim source links), known funders, and staff.

**First live batches (2026-07-16/17)**: 55 orgs, 41 research-grade (>0.4), 2 low-confidence, 0 failures, ~28 min for 30 orgs (grounded search dominates). Verified effect on scoring: Annie's Angels → NIH Mammalian Models mission fit fell 19→12 (real mission: family financial crisis support), Seacoast Pathways → Foundation for Seacoast Health rose to 25/30 fit — and its researched `knownFunders` list independently named Foundation for Seacoast Health, confirming the precedent match.

**Gotcha fixed en route**: `org_profiles.confidence` is float4 — `0.2` stores as `0.20000000298`, so `confidence <= 0.2` (float8 comparison) silently excluded every stub; the needing-profile query uses an epsilon.