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FonteumThe Graph

By use case

Exclusion & monitoring (self-serve)Free roster screen — no accountExclusion & sanctions screeningCredentialing & provider-data enrichmentAudit evidence & defensible programsProvider data for AI / RAGM&A & network diligence

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Compliance & riskJournalists & newsroomsDevelopers & AI teams

By industry

HealthcareProviders & facilitiesSanctionsOFAC / EU / UK / UN / OIG / SAMFederal contractingSAM · USASpending · FAPIIS

The capability layer

APIREST + bulk accessMCP serverCallable by AI agentsFHIR R4 APIBulk exportAttestation & audit packReconciliationSource-vs-source diffsGrounded answersAI citation assetEntity graphSnapshotsPoint-in-time, bitemporal

The differentiator

Coverage & sourcesThe catalogFreshnessMethodologyCare CompareFacility qualityCompare grounded answersBrowse all datasets →
Research

The dev on-ramp

DocsAPI referenceMCP — connect your agentOne-paste installFHIR sandboxLive API surfaceQuickstartStatusChangelogSDKs & integrations
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Solutions

Exclusion & monitoring (self-serve)Exclusion & sanctions screeningCredentialing & provider-data enrichmentAudit evidence & defensible programsProvider data for AI / RAGM&A & network diligenceCompliance & riskJournalists & newsroomsDevelopers & AI teamsHealthcareSanctionsFederal contracting

Platform

APIMCP serverFHIR R4 APIBulk exportAttestation & audit packReconciliationGrounded answersEntity graphSnapshots

Data

Coverage & sourcesFreshnessMethodologyCare CompareCompare grounded answersBrowse all datasets →
Research

Developers

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Fonteum · Manifesto

The record should come with the answer.

Most data tools ask you to trust the answer. Fonteum hands you the government record: dated, sourced, signed, attested, chained, and re-checkable, including what it used to say.

Last updated 2026-06-24 · Aggregate public-records positioning · FCRA-safe by design

44

federal source families

Registry-derived, not hand-entered into this page.

9M+

providers in the broad NPPES identity spine

An aggregate public-records population, not a provider rating.

11.9M

historical NPPES and PECOS source rows

Used as data-volume context; sources are counted separately.

The thesis

A clean answer is not enough.

The market has learned to love summaries. Dashboards summarize. Agents summarize. Search results summarize. The risk is that a summary can feel authoritative while separating the reader from the public record underneath it.

Fonteum is built for the opposite instinct. A number should carry where it came from. A field should carry when it was captured. A conclusion should carry its limitation. A record should be re-checkable by someone who did not build the system.

The answer is useful only when the source can follow it into the room.

That is not a UX preference. It is an operating position. If a fact is going to ground an AI agent, support a compliance review, or sit under a published finding, the fact needs more than a label. It needs a trail.

What travels with a fact

Source, date, limitation, signature.

Fonteum treats provenance as payload, not as decoration. The record should say what agency published it, which dataset it came from, when Fonteum captured it, which methodology touched it, and what limitation belongs beside it.

Dated
Sourced
Signed
Attested
Chained
Re-checkable

These words describe the record trail. They are not provider endorsements.

Why now

AI, compliance, and journalism all hit the same wall.

AI systems need grounding that survives citation. Compliance teams need evidence that survives audit. Journalists and researchers need figures that readers can retrace. Three different audiences, one shared failure mode: an answer with no source trail becomes a dead end.

AI grounding

A model can cite an answer only if the answer carries a source trail. Fonteum makes the trail travel with the fact: source name, source URL, capture date, limitation, hash, and signature.

Compliance evidence

A compliance file needs more than a current answer. It needs the record as of the day the decision was made, plus enough context for an auditor to re-run the check.

Journalism and research

A public-interest finding is stronger when readers can inspect the same government file. The work should be reproducible from the source, not dependent on a screenshot or a vendor memo.

The time-machine edge

The present record is not the whole record.

Public datasets change. A provider updates an address. An enrollment appears or disappears. A sanctions file is refreshed. A facility measure is republished. If a system only stores the current value, it cannot answer the question that matters later: what did the source say when the decision was made?

Fonteum is not just a lookup table. It is a dated memory of public records.

Every snapshot creates an as-of layer. The older value is not erased from the narrative; it becomes part of the chain. That is the edge a fresh scrape cannot backfill after the fact.

The stance

Against unverifiable data.

Fonteum is deliberately narrow about what belongs in public copy and customer-facing data. If a source cannot be named, if a date cannot be shown, if a limitation would change how the reader should use the field, the system should say so.

  • We do not turn uncertain joins into quiet certainty.
  • We do not publish credentials, datasets, package paths, or repository links that do not resolve.
  • We do not rate, endorse, inspect, or independently judge a provider.
  • We do not hide limitations behind a clean interface.
  • We would rather say a field is unavailable than invent confidence we do not have.

The line

Do not ask for belief where a record can travel.

Fonteum exists for the moment after someone asks, "Where did that come from?" The answer should be immediate: from this government record, captured on this date, handled by this method, signed into this chain, and re-checkable from here.

Read the methodologyBrowse sources

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 count checks

Published counts are checked 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 →

Talk to us

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

Talk to us →
Fonteum
Platform
Platform overviewAPIMCP serverFHIR R4 APIBulk exportAttestation & audit packReconciliationGrounded answersEntity graphSnapshots
Solutions
All solutionsExclusion & sanctions screeningCredentialing & enrichmentAudit evidenceProvider data for AI / RAGM&A & network diligenceCompliance & riskJournalists & newsroomsDevelopers & AI teams
Data & sources
Coverage & sourcesBrowse all datasetsState Medicaid exclusionsFreshnessMethodologyCare CompareSanctions screeningOIG LEIE listOwnershipStaffingDeficienciesSpecial Focus Facilities
Federal contracting
OverviewAwards during active exclusionFederal debarment scorecardProcurement questionsContractor lookup8(a) certification guide
Developers
Developer hubDocsAPI referenceQuickstartStatusChangelogSDKs & integrationsWebhooks
Research & guides
Research hubGuidesHealthcare provider dataExclusion & sanctions screeningProvider credentialing dataHealthcare data for AIHospital margin gapProvider access gapsGlossaryComparisonsGrounded data vs LLM answersCitationsManifestoWhy Fonteum
Company
AboutPressCustomersPricingContactEditorial policyCorrections
Trust & legal
TrustTrust markQualitySecurityPrivacy policyTerms of serviceAPI & MCP termsMedical disclaimer

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

© 2026 Fonteum LLC. All rights reserved.

·hello@fonteum.com

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

Every fact Fonteum serves carries a signed, re-checkable trust mark — source, as-of date, and an Ed25519 signature travel with the data. Re-check any fact at fonteum.com/verify · the trust-mark standard (W3C Verifiable Credentials 2.0, C2PA-aligned).
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The substrate, by the numbers

9.2Mgraph entitiesProviders, organizations, owners, and facilities
15.7Mlinked identifiersNPIs, CCNs, LEIs and more, resolved to entities
5Mgraph edgesSource-attested relationships between entities
44federal source familiesDistinct CMS, OIG, HRSA, FDA and peer datasets
35dataset pagesCitable, downloadable /data catalog pages
70reproducible studiesEach shipping the SQL behind its figures