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Rank #2 of 6 in Identity Verification & KYC

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Sumsub

Sum and Substance Ltd · commercial

npm 82.7k/wk

Try itExperimental

See what an agent can do with Sumsub 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 -s https://api.sumsub.com/resources/applicants/x/one # keyless → 403 "Unauthorized (cfb)", not a plain 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

36.0/100

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

How much of the product can run unattended

11.3/100

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

Stories about biometric liveness in this arena

44.6/100

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

21.6/100

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

Stories about idv agent access in this arena

36.0/100

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

27.7/100

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

Open source, data portability, and self-hosting stories

12.0/100

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

41.1/100

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

Stories about verification orchestration in this arena

19.7/100

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

Stories about watchlist screening in this arena

55.0/100

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

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

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 productAgenticness3none0/10

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/a0/10

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

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full9/10T

Subscribe to events via webhooks G

Agent access

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

Operate the product with natural-language commands G

Agentic features

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

Run the product headlessly / in CI for automation G

Agent access

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

Build against official SDKs G

Agent access

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

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

Agent access

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

Set up automations that run autonomously in the background G

Agentic features

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

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

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

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 productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

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 productAgenticness1full8/10C

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 liveness3full8/10C

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

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 access3partial6/10T

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 coverage3partial6/10C

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 orchestration3partial5/10C

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3partial5/10C

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 dx3partial5/10T

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 dx3partial4/10C

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3none0/10

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

Self-host the core product G

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

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 flows2full8/10C

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

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 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 access2partial6/10T

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

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

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 screening2partial5/10C

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 dx2partial5/10C

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 orchestration2partial4/10C

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 flows2none0/10

Perform bulk operations across many items at once G

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

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

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

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 checks2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone 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 depth2noneuntestednone 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

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 flows2noneuntestednone yet

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 liveness2noneuntestednone 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 41 stories with headroom

What would move Sumsub’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 productDelegate tasks to a built-in AI assistant inside the product

    nonemoves Built-in AIimpact 45

    Evidence only shows an MCP server that lets external AI agents call Sumsub operations, which is the reverse of a built-in AI assistant that users delegate tasks to inside the product.

  2. Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave

    nonemoves PA Scoreimpact 30

    Sumsub is a KYC/verification platform storing applicant data, but no evidence shows a user-facing data export feature in open/portable formats or an account-closure data portability workflow; only API access for processing applicant data during integration is documented, not a 'take your data and leave' capability.

  3. Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models

    nonemoves PA Scoreimpact 30

    No evidence in the pack addresses AI-training data usage or opt-out policies; Sumsub's docs cover verification, AML, and API features but nothing about preventing data from being used to train AI models.

  4. Agenticness — how well agents can access and operate the productGet AI-generated insights and suggestions from my data inside the product

    nonemoves Built-in AIimpact 30

    Missing: any documented AI-generated analytics/insights feature, dashboard summarization, or recommendation engine within the Sumsub UI.

  5. 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".

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

    nonemoves API qualityimpact 30

    There's mention of a REST API and docs, but no evidence of an interactive API reference with runnable examples (e.g., try-it-out console, embedded code sandbox); the OpenAPI/Swagger probe returned 404s, suggesting no interactive spec is publicly exposed.

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

    nonemoves API qualityimpact 30

    Sumsub documents a RESTful API and provides llms.txt for markdown docs, but direct probes for OpenAPI/Swagger spec files all returned 404, and no evidence pack item points to a downloadable machine-readable API spec.

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

    nonemoves API qualityimpact 30

    No evidence of API versioning scheme or a documented deprecation policy; OpenAPI spec probes returned 404s and docs only describe general REST usage, sandbox testing, and webhooks without mentioning version lifecycle or deprecation timelines.

Showing the top 8 of 41 — 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 map4 surfaces · 26 covered stories

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

docs25 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 -s https://api.sumsub.com/resources/applicants/x/one # keyless → 403 "Unauthorized (cfb)", not a plain 401reproduced
$ curl -s https://api.sumsub.com/resources/applicants/x/one  # [redacted]less → 403 "Unauthorized (cfb)", not a plain 401
{
  "code" : 403,
  "correlationId" : "fb0b6e1e3cd94759bc1769e36bd745a8",
  "description" : "Unauthorized (cfb)"
}
$curl -sL https://docs.sumsub.com/llms.txt | head -3reproduced
$ curl -sL https://docs.sumsub.com/llms.txt | head -3
# Sumsub Documentation

> Documentation for Sumsub
$curl -s -X POST https://docs.sumsub.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>' # JSON-RPC "Authorization required" authgatereproduced
$ curl -s -X POST https://docs.sumsub.com/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'  # JSON-RPC "Authorization required" authgate
{"jsonrpc":"2.0","error":{"code":-32001,"message":"Authorization required"},"id":null}

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

4 of 17 testable claims verified · 1 contradictedintegrity 12/100

13 distinct capability claims found in Sumsub’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

4

Verified

12

Unverified

1

Contradicted

10

Undersold

Verified (4)
Unverified (12)
Contradicted (1)
Undersold (10)
Claims outside our story set (2)

Real capability claims found in Sumsub’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.

  • Team members can be granted access to the Sumsub account

    source ↗
  • Security keys or biometrics can be used to protect account access

    source ↗
Suggest a story for these →

Business model

usage-based

Published per-verification pricing: Basic $1.35 (min $149/month), Compliance $1.85 (min $299/month), custom above that; 14-day free trial with 50 checks; charged for successful verifications only.

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.

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For agents

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