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Tools · Semantic search

Ask a question in plain English. Get healthcare providers with full provenance.

Search runs against the Fonteum healthcare-provider data graph. Each result is ranked by semantic similarity to your query and carries a fourteen-field provenance trace — source, dataset, snapshot, methodology, last-checked, confidence, availability, and more — so a citation is always one click away.

Try
  • dermatologists in Texas
  • chiropractors in Travis County
  • plastic surgeons in Florida
  • providers excluded under LEIE
How this works
  • Your query is parsed by an LLM (Anthropic Haiku) into structured filters — vertical, state, county, exclusion flags. The raw query also goes through an embedding model (OpenAI text-embedding-3-small) to rank by semantic similarity.
  • Results come from the Fonteum healthcare-provider data graph — confirmed providers across the published methodology. Every result is one Postgres row, ranked by cosine distance, hydrated from the underlying CMS NPPES snapshot.
  • For the API contract, query examples, and code samples see /docs/search.
  • Search shares the same fourteen-field provenance contract as the audit-pack and the MCP server. Tooling that consumes one consumes all three without translation.

Built on the authoritative federal record

The primary sources, named on every page.

These are the federal agencies whose public datasets Fonteum ingests and attributes — the issuing authorities, not customers or partners. Every figure on the site links back to one of them.

  • CMS
  • HHS-OIG
  • HRSA
  • FDA
  • NLM
  • NUCC
  • Census
  • BLS
  • BEA

See the full source registry, with license and refresh cadence for each →

Reproducible by design

Every figure traces to its federal source.

14-tuple provenance

Every rendered fact ties to a source URL, dataset ID, snapshot date, row key, and SHA-256 — the full chain-of-custody record.

Reproducible SQL

Each study ships the exact query behind its figures, run against the cited federal snapshot. Re-run it yourself.

Daily reconciliation

Published counts are reconciled against the upstream federal datasets on a daily cadence, with drift logged.

Named medical review

Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer.

Read the full provenance and attestation methodology →

Two doors

Use the free API and open data

Query providers, facilities, sanctions, and quality scores — each field carrying its federal source. Self-serve, no call to start.

Explore the API →Browse the data catalog →

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Managed pilots, enterprise terms, and audit-ready, signed attestation packages for compliance, risk, and research teams.

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Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer.

© 2026 Fonteum LLC. All rights reserved.

The U.S. healthcare graph AI can cite — every fact carries its source.

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The substrate, by the numbers

9.2Mgraph entitiesProviders, organizations, owners, and facilities
13.9Mlinked identifiersNPIs, CCNs, LEIs and more, resolved to entities
4.7Mgraph edgesSource-attested relationships between entities
44federal source familiesDistinct CMS, OIG, HRSA, FDA and peer datasets
35dataset pagesCitable, downloadable /data catalog pages
53reproducible studiesEach shipping the SQL behind its figures