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Pav tracks drug development programs and the evidence around them: who is developing what, for which indication, at which phase, in which trials, under which deals, and protected by which patents. The Pav API serves that data as JSON. The same data is available to AI agents through the Pav MCP server.

Quickstart

Create a key and make your first request in two minutes.

MCP server

Connect Claude, Cursor or any MCP client to Pav data.

API reference

Every endpoint, parameter and response schema.

OpenAPI and agents

Machine-readable spec for client generation and tool wiring.

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What you can access

Current program and company counts are available at any time from GET /v1/stats.

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How the data connects

Every dataset joins through Pav ids.
  • A company (company_id) owns programs (id).
  • A program lists its linked clinical trials (nct_id). A trial lists the Pav programs and companies linked to it.
  • A deal lists its party companies; filter deals by company_id.
  • A patent family lists its owner companies; filter patents by company_id.
  • An FDA record carries its linked company; filter FDA records by company_id.
  • A change records a program’s movement and carries its company_id.
Resolve a name to an id once, with GET /v1/companies?q=..., then reuse the id across every dataset.

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API at a glance

  • Base URL: https://api.pav.bio
  • All endpoints are GET and return JSON.
  • Authenticate with a Pav API key: Authorization: Bearer <api_key>. See Authentication.
  • List endpoints return { "data": [...], "pagination": {...} }. See Pagination.
  • q= runs relevance-ranked search on programs, companies and trials, and exact-term matching on deals and patents. See Search and filters.
  • 300 requests per minute per key. Errors share one envelope. See Rate limits and errors.

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Built for

  • Competitive landscapes by target, indication or modality.
  • Deal screening and comparable-transaction work.
  • Patent, exclusivity and loss-of-exclusivity checks.
  • Pipeline monitoring and alerting.
  • AI agents that answer biopharma questions with sourced data.
Start with the Quickstart.