Procurement Brief

Why teams pick Fonteum over Definitive Healthcare

For AI-buyer infrastructure decisions, twelve dimensions matter more than feature checklists. Here is the comparison.

EARLY PILOT PARTNERS

TL;DR

Definitive Healthcare, IQVIA OneKey, and HealthVerity are mature commercial platforms built on proprietary aggregation and claims data. Fonteum is built on 23 federal source families — covering 9M+ unique providers from the CMS NPPES registry — cross-resolved on a shared identity backbone, with a field-level provenance contract on every record. For a team wiring provider data into agents and pipelines, the decisive differences are not features — they are provenance, attestation, and how fast you reach a first result.

Every field cites a source row, a snapshot date, and a SHA-256 digest — the incumbents do not document field-level provenance.
Public pricing, a free sandbox key, and an MCP server mean a first query in minutes, not after a sales cycle.
Published claims are reproducible from open federal files; proprietary models cannot be independently recreated.

23 federal source families · 12.1M+ provider rows indexed

The 12 dimensions

Buying criteria for AI and data teams

Twelve-dimension procurement comparison of Fonteum against Definitive Healthcare, IQVIA OneKey, HealthVerity, and the do-it-yourself path.
Dimension	Fonteum	Definitive	IQVIA	HealthVerity	DIY

The evidence

What backs every cell

Provenance contract

Fonteum

Each displayed fact is written to the provider_field_provenance layer with its source name, the date the pipeline last reconciled it, and any known limitation. A compliance auditor can trace any rendered value back to the originating federal record — a CMS dataset ID, an OIG HHS file, or an HRSA portal URL — rather than to an opaque aggregation step. The contract is a fixed 14-tuple shape that travels with the record into exports and the FHIR API.

/data-provenance →

Competitors

Definitive Healthcare publishes a high-level description of its data model and sourcing on its public site, but does not surface a per-field source citation in exports. IQVIA OneKey and HealthVerity similarly treat linkage and resolution as proprietary; none of the three publicly documents a field-level provenance contract.

Source: https://www.definitivehc.com/resources →

Why this matters for AI buyers

An AI agent or data team building on provider data needs to know which federal record backs each value before it acts on it. Without a field-level contract, a wrong or stale field is indistinguishable from a correct one, and there is no audit trail to defend a downstream decision.

Snapshot immutability

Procurement

Download the full comparison PDF. A 14-page versioned brief suitable for procurement reviews and AI / data team buying decisions. Updated quarterly.

↓ procurement-comparison.pdf ↓ JSON twin /compare.json

Version v1 · Q2 2026. See the deep-dive at the Definitive Healthcare alternative brief →

Side-by-side comparisons

Compare any two healthcare data platforms

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Can every field cite its source row and snapshot?

Snapshot immutabilityAre historical snapshots retained, addressable, and citable?	Historical snapshots are retained, content-addressed by SHA-256, and carry a citable identifier so a past state is recoverable.	Not publicPoint-in-time snapshots are not publicly documented as a queryable, content-addressed artifact.	Not publicReference data is refreshed in place	LimitedLongitudinal data is retained, but a public snapshot-addressing scheme is not documented.	LimitedCMS publishes weekly full-replacement files

Methodology versioningIs the scoring methodology pinned to a published version?	Each scoring methodology is a pinned, published version string (for example nsa-compliance/v1) with its own methodology page.	Not publicScoring and modeling methodology is proprietary	Not publicReference methodology is proprietary	Not publicMatching methodology is proprietary	LimitedNo methodology layer

Federal source coverageHow many primary federal sources are cross-resolved?	23 federal source families are cross-resolved on a shared identity backbone (NPI and CCN), all primary-source and explicitly cited.	LimitedCombines federal data with commercial and claims sources	LimitedBuilt on IQVIA's reference universe plus licensed sources	Not publicCentered on claims and consumer data	LimitedYou choose and join each federal source yourself

Update cadenceHow often is the data refreshed, and is the date on the field?	Each source refreshes on its native cadence — NPPES weekly, LEIE monthly, Care Compare and PBJ quarterly — and the last-checked date is on every field.	LimitedRegular updates are cited	LimitedContinuous reference-data maintenance	LimitedClaims refresh on data-partner cadence	LimitedCadence is whatever your pipeline runs

Cryptographic attestationSLSA-style build provenance, SHA-256, signed artifacts?	Snapshots carry SHA-256 digests and Ed25519 witness co-signatures; integrity headers can ship on responses.	Not publicCryptographic attestation of data artifacts is not publicly documented.	Not publicCryptographic attestation of data artifacts is not publicly documented.	Not publicCryptographic attestation of data artifacts is not publicly documented.	LimitedNone unless you build a signing and attestation layer yourself.

License clarityAre commercial-use rights and embargo flags stated?	Underlying records are federal public works (17 U.S.C. § 105); commercial-use and embargo flags are stated per source.	Not publicCommercial enterprise license	Not publicLicensed commercial data	Not publicLicensed data with privacy constraints	YesFederal files are public domain, but you own license review for anything you layer on.

API qualityStripe-grade docs, OpenAPI, SDKs, sane rate limits?	FHIR R4 US Core 6.1.0 API with three-column Stripe-style docs, an OpenAPI surface, and an unauthenticated sandbox key.	LimitedA REST API is available to enterprise customers	LimitedAPI access is delivered through OneKey integrations	LimitedAPI and data-delivery options exist for customers	Not publicNo API

Agent / MCP supportFirst-class MCP server and pre-built agent integrations?	First-class MCP server at /.well-known/mcp.json, a published agent card, and an integration surface for AI agents.	Not publicAn MCP server or agent-native integration is not publicly documented.	Not publicAn MCP server or agent-native integration is not publicly documented.	Not publicAn MCP server or agent-native integration is not publicly documented.	Not publicNone unless you build an MCP server over your own pipeline.

ReproducibilityCan a third party recreate a published claim?	Published research ships CSV and JSON downloads, a methodology, and snapshot identifiers, so a third party can recreate any claim.	Not publicReports are derived from proprietary models	Not publicOutputs are derived from proprietary reference data	Not publicOutputs are derived from proprietary linkage	YesFully reproducible in principle

Pricing transparencyPublic pricing, or opaque enterprise sales?	Public pricing: free research and datasets, with a pilot tier published from $2,000/mo at /pricing.	Not publicOpaque enterprise sales	Not publicEnterprise sales	Not publicEnterprise sales	YesThe data is free, but staff time and infrastructure are the real, recurring cost.

Time-to-first-resultFrom signup to the first successful query.	An unauthenticated sandbox key returns a live federal record on the first call — minutes from landing on /api.	Not publicGated by a sales process and onboarding	Not publicGated by sales and integration	Not publicGated by sales and a data-governance review	LimitedDays to weeks

Provenance contract

Can every field cite its source row and snapshot?

Every rendered field carries a 14-tuple provenance record tying it to a source row, a snapshot date, and a SHA-256 digest.

Definitive

Limited

IQVIA

Limited

HealthVerity

Not public

DIY

Limited

Snapshot immutability

Are historical snapshots retained, addressable, and citable?

Historical snapshots are retained, content-addressed by SHA-256, and carry a citable identifier so a past state is recoverable.

Definitive

Not public

IQVIA

Not public

HealthVerity

Limited

DIY

Limited

Methodology versioning

Is the scoring methodology pinned to a published version?

Each scoring methodology is a pinned, published version string (for example nsa-compliance/v1) with its own methodology page.

Definitive

Not public

IQVIA

Not public

HealthVerity

Not public

DIY

Limited

Federal source coverage

How many primary federal sources are cross-resolved?

23 federal source families are cross-resolved on a shared identity backbone (NPI and CCN), all primary-source and explicitly cited.

Definitive

Limited

IQVIA

Limited

HealthVerity

Not public

DIY

Limited

Update cadence

How often is the data refreshed, and is the date on the field?

Each source refreshes on its native cadence — NPPES weekly, LEIE monthly, Care Compare and PBJ quarterly — and the last-checked date is on every field.

Definitive

Limited

IQVIA

Limited

HealthVerity

Limited

DIY

Limited

Cryptographic attestation

SLSA-style build provenance, SHA-256, signed artifacts?

Snapshots carry SHA-256 digests and Ed25519 witness co-signatures; integrity headers can ship on responses.

Definitive

Not public

IQVIA

Not public

HealthVerity

Not public

DIY

Limited

License clarity

Are commercial-use rights and embargo flags stated?

Underlying records are federal public works (17 U.S.C. § 105); commercial-use and embargo flags are stated per source.

Definitive

Not public

IQVIA

Not public

HealthVerity

Not public

DIY

Yes

API quality

Stripe-grade docs, OpenAPI, SDKs, sane rate limits?

FHIR R4 US Core 6.1.0 API with three-column Stripe-style docs, an OpenAPI surface, and an unauthenticated sandbox key.

Definitive

Limited

IQVIA

Limited

HealthVerity

Limited

DIY

Not public

Agent / MCP support

First-class MCP server and pre-built agent integrations?

First-class MCP server at /.well-known/mcp.json, a published agent card, and an integration surface for AI agents.

Definitive

Not public

IQVIA

Not public

HealthVerity

Not public

DIY

Not public

Reproducibility

Can a third party recreate a published claim?

Published research ships CSV and JSON downloads, a methodology, and snapshot identifiers, so a third party can recreate any claim.

Definitive

Not public

IQVIA

Not public

HealthVerity

Not public

DIY

Yes

Pricing transparency

Public pricing, or opaque enterprise sales?

Public pricing: free research and datasets, with a pilot tier published from $2,000/mo at /pricing.

Definitive

Not public

IQVIA

Not public

HealthVerity

Not public

DIY

Yes

Time-to-first-result

From signup to the first successful query.

An unauthenticated sandbox key returns a live federal record on the first call — minutes from landing on /api.

Definitive

Not public

IQVIA

Not public

HealthVerity

Not public

DIY

Limited

Fonteum

Every published snapshot is stored as an immutable artifact identified by its SHA-256 digest, with Ed25519 witness co-signatures recorded in snapshot_witness_signatures. A claim cited from a 2026-Q1 snapshot resolves to exactly the bytes that backed it, even after the live data has moved on.

/snapshots →

Competitors

The incumbent platforms refresh their data on rolling cadences; none publicly documents an immutable, content-addressed snapshot that a third party can pin a citation to. Historical point-in-time access, where offered, is a contract feature rather than an addressable public artifact.

Source: https://www.definitivehc.com/resources →

Why this matters for AI buyers

Reproducible analysis and defensible audit trails require that a figure published today still resolves to the same underlying state next year. Mutable-in-place data cannot support a citation that survives the next refresh.

Methodology versioning

Fonteum

Methodology versions are pinned string constants, never derived at runtime, and each has a published page describing inputs, transforms, and known limits. When a methodology changes, the version bumps and the prior version stays addressable, so a consumer always knows exactly which logic produced a score.

/methodology →

Competitors

Definitive Healthcare, IQVIA OneKey, and HealthVerity each treat their modeling and resolution methodology as proprietary intellectual property. Public documentation describes capabilities at a marketing level but does not pin a citable methodology version that a buyer can reference in their own audit.

Source: https://www.definitivehc.com/resources →

Why this matters for AI buyers

A model that consumes a vendor score needs to know whether the scoring logic changed between runs. Unversioned methodology turns a silent vendor change into an unexplained shift in your own outputs.

Federal source coverage

Fonteum

Fonteum ingests 23 federal source families straight from their government portals — CMS NPPES, PECOS, Care Compare (eight facility modules), PBJ staffing, SNF All Owners, OIG LEIE, HCRIS, Open Payments, QPP MIPS, HRSA HPSA and UDS, BLS, BEA, and Census — and cross-resolves them on the NPI and CCN identity backbone. 12.1M+ provider rows are indexed with each family documented at /sources by tier, cadence, and redistribution posture.

/sources →

Competitors

Definitive Healthcare assembles facility, technology-install, and contact intelligence from claims and proprietary sourcing layered over public data; the public framing is coverage of facilities and executives, not a count of cross-resolved primary federal sources. IQVIA OneKey and HealthVerity are built on licensed reference and claims universes rather than a federal-source-first model.

Source: https://www.definitivehc.com/resources →

Why this matters for AI buyers

Primary-source coverage is what lets a buyer reason about freshness, gaps, and legal posture per source. A blended proprietary universe is convenient but hides which signal came from where.

Update cadence

Fonteum

Cadence is a property of each source family, not a platform-wide promise. NPPES refreshes weekly, OIG LEIE monthly, Care Compare and PBJ quarterly, and so on — and every rendered field carries the date the pipeline last reconciled it, so staleness is visible rather than assumed.

/sources →

Competitors

The incumbent platforms cite regular refresh cycles in marketing material, but do not surface a per-field last-checked date in their delivered data. A consumer cannot tell from a record alone how old a specific value is.

Source: https://www.definitivehc.com/resources →

Why this matters for AI buyers

Provider data ages unevenly — an exclusion flag matters the day it lands, while a taxonomy code rarely moves. A per-field date lets an agent weight freshness instead of treating the whole record as one age.

Cryptographic attestation

Fonteum

Each snapshot is digested with SHA-256 and co-signed with Ed25519 witness signatures recorded in snapshot_witness_signatures (public read). Exports and API responses can carry integrity headers (for example X-Fonteum-SHA256) so a consumer can confirm the bytes they received match the attested artifact. A public chain key is published at /.well-known/chain-public-key.

/trust →

Competitors

None of Definitive Healthcare, IQVIA OneKey, or HealthVerity publicly documents cryptographic attestation, content digests, or signed data artifacts. Integrity, where addressed, is handled at the transport and access-control layer rather than the artifact layer.

Source: https://www.definitivehc.com/resources →

Why this matters for AI buyers

An autonomous agent acting on data it did not fetch itself needs a way to confirm the payload was not altered in transit or substituted. Artifact-level attestation is the only way to close that gap without trusting every hop.

License clarity

Fonteum

The federal records Fonteum redistributes are US Government works and are not copyrightable (17 U.S.C. § 105), so the structured, provenance-tagged versions are openly redistributable. Each source family states its redistribution posture and any embargo at /sources, so a buyer knows the commercial-use position of every field before relying on it.

/trust →

Competitors

Definitive Healthcare, IQVIA OneKey, and HealthVerity are licensed commercial products; their data is governed by per-contract terms that are negotiated rather than publicly posted. Commercial-use rights and any redistribution limits are determined in the agreement, not surfaced on the record.

Source: https://www.definitivehc.com/resources →

Why this matters for AI buyers

A team shipping a product on top of provider data needs unambiguous commercial-use rights. Per-contract opacity means legal review on every new use case, where a public-domain base plus stated flags is decidable up front.

API quality

Fonteum

The API implements HL7 FHIR R4 US Core 6.1.0 with five USCDI v3 Provider resources, a CapabilityStatement at /api/fhir/metadata, SMART Backend Services auth, and HL7 Bulk Data ($export). Docs follow a three-column Stripe-style layout, and an unauthenticated sandbox key (pk_dx_sample, 100 requests/hour) lets a developer call a real federal record before talking to anyone.

/api →

Competitors

Definitive Healthcare offers a REST API to enterprise customers; its public documentation is gated behind sales and it is not FHIR-conformant. IQVIA OneKey delivers data through integration partners and licensed connectors; HealthVerity delivers via its own pipelines. None publicly posts an open OpenAPI specification or a free sandbox key.

Source: https://www.definitivehc.com/resources →

Why this matters for AI buyers

API quality is the difference between an afternoon integration and a quarter-long one. For EHR-vendor pipelines specifically, FHIR conformance and a discoverable CapabilityStatement are table stakes that a proprietary REST API does not meet.

Agent / MCP support

Fonteum

Fonteum publishes an MCP server descriptor at /.well-known/mcp.json and an agent card at /.well-known/agent.json with a full skills inventory, so Google ADK, LangGraph, and BeeAI consumers can discover and call it. The /for/ai-agents surface documents the agent-facing integration, and the FHIR layer is reachable by tool-using models directly.

/for/ai-agents →

Competitors

Definitive Healthcare, IQVIA OneKey, and HealthVerity do not publicly document an MCP server or an agent-card skills inventory. Their integration model is human-operated dashboards and enterprise connectors rather than agent-native discovery.

Source: https://www.definitivehc.com/resources →

Why this matters for AI buyers

AI-buyer infrastructure is being assembled by agents, not just analysts. A platform with no MCP descriptor and no agent card is invisible to the multi-agent frameworks that are doing the buying.

Reproducibility

Fonteum

Every research study at /research ships the underlying CSV and JSON, a methodology page, and the snapshot identifiers that backed the figures. Because the inputs are federal public records and the methodology version is pinned, a third party can pull the same source files and recreate a published number independently.

/research →

Competitors

Definitive Healthcare, IQVIA OneKey, and HealthVerity publish findings and reports derived from proprietary data and models. Because the inputs and methodology are not open, a third party cannot independently recreate a published figure; the result must be taken on trust in the vendor.

Source: https://www.definitivehc.com/resources →

Why this matters for AI buyers

Reproducibility is the difference between a citable fact and a vendor assertion. For research, regulatory, and diligence work, a number that cannot be recreated cannot be defended.

Pricing transparency

Fonteum

All published research snapshots and datasets are free to access and cite with attribution — no account, no key for the static files. The paid pilot tier is publicly posted from $2,000/mo at /pricing and adds custom export scoping, production API access, and methodology-versioning commitments, with a 30-day no-penalty exit.

/pricing →

Competitors

Definitive Healthcare and comparable enterprise platforms route buyers through a sales process; pricing is by quote and not posted publicly. Independent reviews and procurement write-ups commonly describe five- to six-figure annual licenses, but the vendor sets the figure per account.

Source: https://www.definitivehc.com →

Why this matters for AI buyers

Public pricing lets a team size a build before committing to a sales cycle. Opaque enterprise pricing front-loads weeks of procurement before the data can even be evaluated.

Time-to-first-result

Fonteum

The free research datasets need no account, and the unauthenticated sandbox key (pk_dx_sample) returns a real FHIR record on the first request, so a developer reaches a successful query within minutes of arriving at /api. Production access is a pilot conversation, but evaluation is immediate.

/api →

Competitors

For Definitive Healthcare, IQVIA OneKey, and HealthVerity, the first successful query follows a sales process, a signed agreement, and onboarding. Evaluation access, where offered, is a scheduled demo rather than a self-serve key.

Source: https://www.definitivehc.com →

Why this matters for AI buyers

Time-to-first-result is the single best proxy for how a platform treats builders. Minutes-to-query means a team can prove value before procurement; weeks-to-query means the opposite.

Why teams pick Fonteum over Definitive Healthcare

Buying criteria for AI and data teams

What backs every cell

Download the procurement comparison

Compare any two healthcare data platforms

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