The sidebar labels inside this family are the literal calls you make over HTTP. Descriptions stay in the body so the navigation stays sharp and scannable.
Operations in this family
GET /v1/fund-letters
List investor letters from hedge funds, partnerships, and registered funds, filterable by manager, fund, company, period, source, and distribution tier.
GET /v1/fund-letters/{letter_id}
Retrieve one letter with letter-level narratives, performance figures, and inline theses (capped at 25; thesisCount carries the total). Superseded/merged IDs resolve forever via aliases.
GET /v1/fund-letters/{letter_id}/document
Retrieve the original letter document (format=pdf, 302 redirect) or page-segmented markdown whose bytes verify every anchor (format=markdown).
GET /v1/fund-letters/changes
Keyset-paginated delta feed of fund-letter events (letter.published, letter.updated, letter.superseded, thesis.extracted, manager.added). Never response-cached.
GET /v1/fund-letters/companies
Company coverage index: every company with at least one extracted thesis, with thesis/manager/letter counts and the latest stance.
GET /v1/fund-letters/funds
List funds that publish letters, with per-fund letter counts.
GET /v1/fund-letters/funds/{fund_id}
Retrieve one fund. Merged fund IDs resolve forever via aliases; the response carries the canonical id plus requestedId when they differ.
GET /v1/fund-letters/managers
List letter-publishing managers (firms) with coverage stats: letters, funds, companies, theses, period range, and cadence.
GET /v1/fund-letters/managers/{manager_id}
Retrieve one manager profile. Merged manager IDs resolve forever via aliases; the response carries the canonical id plus requestedId when they differ.
GET /v1/fund-letters/managers/{manager_id}/overview
Fund Overview: one token-efficient briefing per manager — canonical name, description, founders, website, coverage counts, and the latest letter’s highlights with up to 5 headline theses.
GET /v1/fund-letters/search
Full-text search over letter bodies; hits carry page-anchored highlights.
GET /v1/fund-letters/semantic
Semantic (vector) search over letter content; hits carry similarity scores, matched chunks, and page anchors.
GET /v1/fund-letters/theses
Cross-cutting thesis screen: structured per-company extractions (relationship, stance, conviction, narratives, verbatim anchored quotes) across all letters.

