Skip to content

Rank #1 of 6 in Identity Verification & KYC

Entrust Identity Verification (Onfido) logo

Entrust Identity Verification (Onfido)

Enterprise

Entrust Corporation · commercial

npm 44k/wkpypi 294.7k/wk

Try itExperimental

See what an agent can do with Entrust Identity Verification (Onfido) before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -si https://api.eu.onfido.com/v3.6/applicants | head -2 # Onfido-era API host under Entrust, keyless → 401recorded session — replayed, not live
recorded 2026-09-15 · exit 0 · captured verbatim by our probe harness, secrets redacted

Verified integrations

No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.

By theme — the product's score on each story themeBy theme

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

27.1/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

35.0/100

Biometric liveness — stories about biometric liveness in this arenaBiometric livenessevidence →

Stories about biometric liveness in this arena

23.1/100

Data checks — stories about data checks in this arenaData checksevidence →

Stories about data checks in this arena

0.0/100

Document coverage — stories about document coverage in this arenaDocument coverageevidence →

Stories about document coverage in this arena

14.4/100

Idv agent access — stories about idv agent access in this arenaIdv agent accessevidence →

Stories about idv agent access in this arena

32.4/100

Integration dx — sandboxes, test modes, webhooks, and how fast a developer gets to a working integrationIntegration dxevidence →

Sandboxes, test modes, webhooks, and how fast a developer gets to a working integration

24.0/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

30.0/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

0.0/100

Privacy retention — stories about privacy retention in this arenaPrivacy retentionevidence →

Stories about privacy retention in this arena

0.0/100

Verification flows — stories about verification flows in this arenaVerification flowsevidence →

Stories about verification flows in this arena

36.7/100

Verification orchestration — stories about verification orchestration in this arenaVerification orchestrationevidence →

Stories about verification orchestration in this arena

18.0/100

Watchlist screening — stories about watchlist screening in this arenaWatchlist screeningevidence →

Stories about watchlist screening in this arena

40.0/100

Story verdicts — every judged story with its evidenceStory verdicts

?

Sorted by importance (agentic first) (high → low) · 53/53 stories · click a row’s chevron for the rationale and evidence

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full7/10T

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3noneuntestednone yet

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/auntestednone yet

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/auntestednone yet

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10C

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10C

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10C

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10C

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial4/10C

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial3/10C

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/a0/10

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1noneuntestednone yet

Configure verification logic without code — conditional steps, risk-based routing, country-specific requirements, and template changes that don't need an engineering deploy C

Workflows

ops leadVerification orchestration — stories about verification orchestration in this arenaVerification orchestration3partial7/10C

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3full7/10C

Launch a complete document-plus-selfie verification with a hosted or drop-in flow — create a session server-side, redirect or embed, and read the result — without building capture UI myself C

Hosted flows

developerVerification flows — stories about verification flows in this arenaVerification flows3full7/10C

The whole verification lifecycle is drivable through the API — create a session, get its status, retrieve results and captured media, and cancel or redact it — with every step documented C

Session api

developerIntegration dx — sandboxes, test modes, webhooks, and how fast a developer gets to a working integrationIntegration dx3partial6/10C

An agent can operate the verification pipeline — create sessions, poll outcomes, retrieve extracted data, and trigger re-checks through the API or an MCP surface with scoped credentials C

Agent operations

ai-native userIdv agent access — stories about idv agent access in this arenaIdv agent access3partial5/10C

Selfie checks match the live user to the document portrait with liveness detection — documented defenses against printed photos, screens, and replayed video C

Liveness

risk analystBiometric liveness — stories about biometric liveness in this arenaBiometric liveness3partial5/10C

The platform verifies government IDs from a documented breadth of countries and document types — passports, national IDs, driver licenses, residence permits — with the supported list published C

Doc types

ops leadDocument coverage — stories about document coverage in this arenaDocument coverage3partial4/10C

A sandbox lets me exercise every outcome before going live — documented test documents, personas, or magic values that deterministically produce pass, fail, and review results C

Sandbox

developerIntegration dx — sandboxes, test modes, webhooks, and how fast a developer gets to a working integrationIntegration dx3noneuntestednone yet

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3n/auntestednone yet

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3n/auntestednone yet

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3n/auntestednone yet

Screen verified users against sanctions, PEP, and adverse-media watchlists as part of the same verification — one vendor, one API, one review surface C

Screening

ops leadWatchlist screening — stories about watchlist screening in this arenaWatchlist screening2full8/10C

Verification lifecycle events arrive as signed webhooks — created, processing, verified, requires-input — so my system reacts to outcomes without polling C

Webhooks

developerIntegration dx — sandboxes, test modes, webhooks, and how fast a developer gets to a working integrationIntegration dx2partial7/10C

Send a verification to someone with a no-code link or QR code — no engineering ticket to verify a one-off customer, contractor, or seller C

No code

ops leadVerification flows — stories about verification flows in this arenaVerification flows2partial6/10C

The platform detects repeat and duplicate identities across verifications — the same face or document resurfacing under different names is flagged automatically C

Duplicate detection

risk analystBiometric liveness — stories about biometric liveness in this arenaBiometric liveness2partial6/10C

Verification outcomes come back structured enough for an agent to decide on — machine-readable check results, risk signals, and failure reasons an automated onboarding flow can branch on C

Agent decisions

ai-native userIdv agent access — stories about idv agent access in this arenaIdv agent access2partial6/10C

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial5/10C

I get native iOS, Android, and web SDKs with guided camera capture — glare, blur, and edge detection coaching the user to a usable document photo on the first try C

Native sdks

developerVerification flows — stories about verification flows in this arenaVerification flows2partial4/10C

A person verified once can be recognized and reused across sessions or products — documented re-verification and reuse of a prior passed check instead of forcing a full re-run C

Reuse

developerVerification flows — stories about verification flows in this arenaVerification flows2none0/10

Enrich verifications with phone, email, and device risk signals — carrier checks, address history, device fingerprint — as additional documented check types C

Risk signals

developerData checks — stories about data checks in this arenaData checks2none0/10

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2none0/10

Screening is not one-shot — previously verified users are continuously re-screened against watchlist updates, and changes raise events I can act on C

Monitoring

ops leadWatchlist screening — stories about watchlist screening in this arenaWatchlist screening2none0/10

The vendor documents specific defenses against AI-generated faces, deepfakes, and camera-injection attacks — named detection capabilities, not just a marketing mention of fraud C

Deepfake defense

risk analystBiometric liveness — stories about biometric liveness in this arenaBiometric liveness2none0/10

Verified sessions return the extracted document fields as structured data — name, date of birth, document number, address, expiry — retrievable via the API, not just a pass/fail flag C

Extraction

developerDocument coverage — stories about document coverage in this arenaDocument coverage2none0/10

Borderline verifications land in a manual review queue with the full evidence — document images, extracted fields, check results — and reviewer decisions feed back into the record C

Review

ops leadVerification orchestration — stories about verification orchestration in this arenaVerification orchestration2noneuntestednone yet

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Control what happens to collected identity data — documented retention windows and a redaction or deletion API that scrubs PII on demand C

Redaction

ops leadPrivacy retention — stories about privacy retention in this arenaPrivacy retention2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2n/auntestednone yet

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2n/auntestednone yet

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2n/auntestednone yet

See verification funnel analytics — pass rates, drop-off points, completion time by country and document type — to know what verification is costing me in signups C

Analytics

founderVerification orchestration — stories about verification orchestration in this arenaVerification orchestration2noneuntestednone yet

The vendor documents how biometric data is handled lawfully — GDPR bases, US biometric statutes like BIPA, and the consent language my flow needs — so legal review has something to review C

Consent

founderPrivacy retention — stories about privacy retention in this arenaPrivacy retention2noneuntestednone yet

Verify businesses, not just people — registry lookups, UBO identification, and documented KYB flows that chain into KYC on the owners C

Kyb

ops leadData checks — stories about data checks in this arenaData checks2noneuntestednone yet

Verify identity against authoritative databases without documents — SSN, national registries, or credit-header data — for lower-friction flows where a doc scan is overkill C

Db checks

developerData checks — stories about data checks in this arenaData checks2noneuntestednone yet

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1noneuntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 38 stories with headroom

What would move Entrust Identity Verification (Onfido)’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Agenticness — how well agents can access and operate the productConnect an agent via an official MCP server

    nonemoves agent-readyimpact 45

    The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".

  2. Integration dx — sandboxes, test modes, webhooks, and how fast a developer gets to a working integrationA sandbox lets me exercise every outcome before going live — documented test documents, personas, or magic values that deterministically produce pass, fail, and review results

    nonemoves PA Scoreimpact 30

    Missing: sandbox/test-mode documentation, sample test documents or personas, deterministic magic-value test data for triggering specific verification outcomes.

  3. Agenticness — how well agents can access and operate the productOperate the product with natural-language commands

    nonemoves Built-in AIimpact 30

    The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".

  4. Agenticness — how well agents can access and operate the productUse an official CLI

    nonemoves agent-readyimpact 30

    The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".

  5. Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples

    nonemoves API qualityimpact 30

    The evidence pack shows conventional API/SDK documentation (auth, webhooks, workflow setup) but no mention of an interactive API reference, API explorer, or runnable code examples anywhere in the docs.

  6. Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)

    nonemoves API qualityimpact 30

    The evidence pack shows extensive API/webhook documentation but no mention of a downloadable OpenAPI/Swagger spec or other machine-readable API definition file.

  7. Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy

    partialq3/10moves API qualityimpact 21

    Missing: explicit versioned API scheme (e.g., v1/v2 endpoints), a published deprecation/sunset policy, and timelines for backward compatibility.

  8. Automation depth — how much of the product can run unattendedPerform bulk operations across many items at once

    nonemoves PA Scoreimpact 20

    The evidence describes single-applicant workflows (create applicant → workflow run → SDK token → webhook) and no batch/bulk API endpoints, CSV bulk upload, or multi-item processing tools are documented.

Showing the top 8 of 38 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map5 surfaces · 22 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

llms.txt15 stories

API reference15 stories

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$curl -si https://api.eu.onfido.com/v3.6/applicants | head -2 # Onfido-era API host under Entrust, keyless → 401reproduced
$ curl -si https://api.eu.onfido.com/v3.6/applicants | head -2  # Onfido-era API host under Entrust, [redacted]less → 401
HTTP/2 401

content-type: application/json
$curl -sL https://documentation.identity.entrust.com/llms.txt | head -3reproduced
$ curl -sL https://documentation.identity.entrust.com/llms.txt | head -3
# Entrust Identity Verification Documentation

> Entrust Identity Verification is a comprehensive API and SDK platform for identity document verification, biometric checks, watchlist screening, and fraud detection. Customers integrate via REST API (v3.6 current) and native SDKs (Web, iOS, Android, React Native, Flutter), orchestrating verification flows through Workflow Studio.

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

0 of 10 testable claims verified · 0 contradictedintegrity 0/100

12 distinct capability claims found in Entrust Identity Verification (Onfido)’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

0

Verified

10

Unverified

0

Contradicted

12

Undersold

Unverified (13)
Undersold (12)

Business model

enterprise-custom

Sales-only: onfido.com/pricing now redirects into entrust.com's quote-gated pricing with no published numbers — an enterprise IDV suite sold under Entrust since the $650M acquisition closed in April 2024.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Scoretracked since Sep 15 '26 — no movement recorded yet
Agent-readytracked since Sep 15 '26 — no movement recorded yet

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

Data