Provider data for AI / RAG
The path for AI teams grounding a model in citable federal provider data.
Open →The short answer
How do you use healthcare provider data in AI and RAG?
Retrieval-augmented generation is only as trustworthy as the records it retrieves. Ground a model in federal provider data — identity, enrollment, quality, and exclusion status — and supported assertions can include available source metadata. Fonteum serves that data three ways an AI system can consume: an MCP server an agent calls directly, an API for retrieval, and bulk export for an index.
Responses can include dataset, source-agency, and snapshot metadata for a RAG answer to cite. The provenance schema is nullable and source-specific, so consumers should use only fields present in the response.
AI on-ramps
The interfaces an LLM, agent, or RAG pipeline can call. Same provider graph, same provenance, three shapes.
Fonteum for AI agents
What an autonomous agent can resolve, screen, and cite without a human in the loop.
Open →The MCP server
A Model Context Protocol server an agent calls directly — structured for LLM consumption.
Open →The REST API
Query supported provider records and inspect the provenance fields supplied by the response.
Open →FHIR R4 API
Provider resource types with source-specific provenance availability.
Open →Bulk export for an index
Dataset-specific NDJSON and CSV exports where the source page publishes one.
Open →What makes it citable
The provenance and integrity layer that lets a generated answer point back to a real federal record.
The capability layer
How ingest, reconcile, attest, and serve fit into one pipeline.
Open →Point-in-time snapshots
Inspect retained versions after tracking began for the named sources that actually bank history.
Open →Attestation & audit pack
Stored snapshot-attestation metadata where a concrete snapshot id exists; not a signature on every answer.
Open →The provider entity graph
How records can be linked where participating sources publish a shared identifier.
Open →How Fonteum gets cited
Where the data is quoted, and the citation guidance behind it.
Open →The machine-readable agent card
The skills declaration multi-agent frameworks parse for autonomous discovery.
Open →The data to retrieve
Browse catalogued federal datasets
Published source pages show their available statistics, methods, and tables.
Open →Source families & cadence
The public source registry shows declared cadence and coverage for active sources.
Open →Original studies as a source
Reproducible, numeric studies an AI engine can quote with method and date.
Open →Agent-driven exclusion screening
Let an agent screen a party against the exclusion lists and return a dated record.
Open →Key terms
FHIR, defined
The HL7 standard behind the interop API.
Open →HL7, defined
The health-data interoperability standards body.
Open →Machine-readable file, defined
The structured public files an AI index ingests.
Open →What is an NPI number?
The identifier a provider answer resolves on.
Open →Common questions
Answers in one line each
- Why ground a healthcare AI in federal data instead of scraping?
- A model cannot explain where an answer came from unless its retrieval layer preserves source context. Supported Fonteum responses expose dataset, source-agency, or snapshot metadata when that surface has it, letting a RAG answer cite a re-checkable federal record without implying universal provenance or currentness.
- Can an AI agent call Fonteum directly?
- Yes. The MCP server lets an agent resolve a provider, screen against exclusion lists, and pull provenance without a human in the loop. The same data is published as machine-readable dataset declarations and an agent card so multi-agent frameworks can discover the skills autonomously.
- Is the data free for AI search engines to cite?
- Reads of published public-record pages carry no paywall, so AI search engines can retrieve and cite them. The numbers and tables render as visible HTML. Authentication raises rate limits and unlocks bulk export; stored attestation metadata applies only where a concrete snapshot relationship exists.
- How does a model show an answer is current?
- A response can report the source release or observation date when that metadata is present. Row-history replay is currently limited to named sources with banked versions—principally UK sanctions, small OFAC and UN slices, procurement awards, and a small set of superseded provenance claims—and is not available for every record.
Go deeper
The other pillar guides
START HERE
Add federal-data citations to your agent.
Drop the MCP server into an agent or call the API, and ground provider answers in records that name their source when that metadata is available. Request access for higher limits and bulk export.