FaceSign

FaceSign provides AI-powered real-time identity verification that goes beyond biometrics to detect deepfakes, confirm liveness, and authenticate the actual person. Founded by pioneers of two-factor authentication, FaceSign builds the future of identity verification.

FaceSign publishes 3 API contracts indexed on the APIs.io network: Avatars API, Langs API, and Sessions API. Tagged areas include Artificial Intelligence, Identity Verification, Deepfake Detection, Liveness Detection, and Biometrics.

The FaceSign catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

FaceSign’s developer surface includes changelog, authentication, documentation, API reference, getting-started guide, and 27 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

38.5/100 thin Agent 33/100 agent ready Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 published contract 1 MCP Servers 1 Agent Skills

Artificial Intelligence Identity Verification Deepfake Detection Liveness Detection Biometrics

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 38.5/100 · thin

Contract Quality 4.5 / 19

Developer Ergonomics 8.1 / 15

Access Clarity 7.0 / 15

Operational Transparency 2.8 / 10

Contract Governance 2.0 / 9

Discoverability 4.6 / 8

Regulatory Posture 3.2 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 33/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented) Ask about this →
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks Ask about this →

6 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 24.0 — up to +19.0 composite points Ask about this →
Access Clarity scores 46.8 — up to +10.6 composite points Ask about this →
Contract Governance scores 22.0 — up to +9.4 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/facesign-ai/apis.yml: open an issue on github.com/api-evangelist/facesign-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OpenAPI

measured — observed by APIs.io (published)

APIs 3

Individual APIs this provider publishes, each with its own machine-readable definition.

FaceSign Avatars API

The Avatars API from FaceSign — 1 operation(s) for avatars.

FaceSign Langs API

The Langs API from FaceSign — 1 operation(s) for langs.

FaceSign Sessions API

The Sessions API from FaceSign — 3 operation(s) for sessions.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

FaceSign MCP Server

Remote MCP server at mcp.facesign.ai.

MCP SERVER

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

authentication

AGENT SKILL

FaceSign API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

FaceSign Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

FaceSign Rate Limits

0 limits

RATE LIMITS

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

FaceSign

8 quoted statements, read from FaceSign's own page on 2026-11-09.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

FaceSign

24 quoted statements, read from FaceSign's own page on 2026-11-09.

PRIVACY

Compliance 1

Attestations the provider states (SOC 2, ISO 27001 and others), quoted from its own trust page. APIs.io verifies none of them.

FaceSign

5 quoted statements, read from FaceSign's own page on 2026-11-09.

COMPLIANCE

Eligibility 1

Who may sign up and where, quoted from its own terms.

FaceSign

6 quoted statements, read from FaceSign's own page on 2026-11-09.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

FaceSign

1 quoted statement, read from FaceSign's own page on 2026-11-09.

AI PREFS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Facesign Ai Context

4 classes · 10 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

FaceSign API Rules

39 rules · 37 error-severity 1 warn-severity 1 info-severity

SPECTRAL

JSON Schema 4

Standalone JSON Schema definitions for this provider's data models.

GetAvatarsResponse

3 properties

JSON SCHEMA

GetLangsResponse

2 properties

JSON SCHEMA

GetSessionsStringRefreshResponse

4 properties

JSON SCHEMA

PostSessionsRequest

2 properties

JSON SCHEMA

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

FaceSign Authentication

1 scheme

SECURITY

FaceSign Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

FaceSign Trust Center

GDPR

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

FaceSign Agentic Access

6 operations · 1 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 3

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

AIPreferences

AIPreferences

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgentSkill

LLMsTxt

MCPServer

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Build 3

SDKs, sample code, and the tooling you integrate with

ToolCrosswalk

ToolCrosswalk

SDKs

SDKs

Packages

Packages

Access & Security 4

Authentication, authorization, and security posture

Compliance

Authentication

TrustCenter

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

StatusPage

StatusPage

ChangeLog

ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

UsageTerms

UsageTerms

Company 1

The organization behind the API

Website

Website

Other 5

Properties that don't map to a standard resource type

Hosts

Vendors

DataProcessing

Attestations

Eligibility

Source (apis.yml)

aid: facesign-ai
name: FaceSign
description: FaceSign provides AI-powered real-time identity verification that goes beyond biometrics to detect deepfakes,
  confirm liveness, and authenticate the actual person. Founded by pioneers of two-factor authentication, FaceSign builds
  the future of identity verification.
url: https://artifacts.apis.io/facesign-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-07 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  - sandbox
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-11-07'
modified: '2026-11-07'
tags:
- Artificial Intelligence
- Identity Verification
- Deepfake Detection
- Liveness Detection
- Biometrics
tags_raw:
- AI
- Identity Verification
- Deepfake Detection
- Liveness Detection
- Biometrics
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/facesign-ai-agentic-access.yml
- type: Spectral
  url: rules/facesign-ai-rules.yml
- type: JSONLD
  url: json-ld/facesign-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/facesign-ai-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/facesign-ai-data-model.yml
- type: ChangeLog
  url: changelog/facesign-ai-changelog.yml
- type: Compliance
  url: https://www.facesign.ai/trust
- type: Authentication
  url: authentication/facesign-ai-authentication.yml
- type: Conformance
  url: conformance/facesign-ai-conformance.yml
- type: LLMsTxt
  url: llms/facesign-ai-llms.txt
- type: ToolCrosswalk
  url: mcp/facesign-ai-tool-crosswalk.yml
- type: MCPServer
  url: mcp/facesign-ai-mcp.yml
- type: Hosts
  url: hosts/facesign-ai-hosts.yml
- type: Vendors
  url: vendors/facesign-ai-vendors.yml
- type: SDKs
  url: packages/facesign-ai-packages.yml
- type: Packages
  url: packages/facesign-ai-packages.yml
- type: StatusPage
  url: https://status.facesign.ai/
- type: ChangeLog
  url: https://www.facesign.ai/changelog
- type: TrustCenter
  url: security/facesign-ai-trust-center.yml
- type: DomainSecurity
  url: security/facesign-ai-domain-security.yml
- type: Website
  url: https://www.facesign.ai/
- type: Documentation
  url: https://docs.facesign.ai/
- type: APIReference
  url: https://docs.facesign.ai/docs/mcp
- type: GettingStarted
  url: https://docs.facesign.ai/docs/mcp
- type: TermsOfService
  url: https://www.facesign.ai/terms
- type: PrivacyPolicy
  url: https://www.facesign.ai/privacy
- type: UsageTerms
  url: terms/facesign-ai-terms-of-service.yml
- type: DataProcessing
  url: privacy/facesign-ai-privacy-policy.yml
- type: Attestations
  url: compliance/facesign-ai-compliance.yml
- type: Eligibility
  url: eligibility/facesign-ai-eligibility.yml
- type: AIPreferences
  url: ai-preferences/facesign-ai-ai-preferences.yml
apis:
- aid: facesign-ai:facesign-ai-avatars-api
  name: FaceSign Avatars API
  description: The Avatars API from FaceSign — 1 operation(s) for avatars.
  humanURL: https://docs.facesign.ai/docs/reference/sdks
  baseURL: https://api.facesign.ai
  tags:
  - Avatars
  properties:
  - type: OpenAPI
    url: openapi/facesign-ai-avatars-api-openapi.yml
  - type: JSONSchema
    url: json-schema/facesign-ai-get-avatars-response-schema.json
- aid: facesign-ai:facesign-ai-langs-api
  name: FaceSign Langs API
  description: The Langs API from FaceSign — 1 operation(s) for langs.
  humanURL: https://docs.facesign.ai/docs/reference/sdks
  baseURL: https://api.facesign.ai
  tags:
  - Langs
  properties:
  - type: OpenAPI
    url: openapi/facesign-ai-langs-api-openapi.yml
  - type: JSONSchema
    url: json-schema/facesign-ai-get-langs-response-schema.json
- aid: facesign-ai:facesign-ai-sessions-api
  name: FaceSign Sessions API
  description: The Sessions API from FaceSign — 3 operation(s) for sessions.
  humanURL: https://docs.facesign.ai/docs/reference/sdks
  baseURL: https://api.facesign.ai
  tags:
  - Sessions
  properties:
  - type: OpenAPI
    url: openapi/facesign-ai-sessions-api-openapi.yml
  - type: JSONSchema
    url: json-schema/facesign-ai-post-sessions-request-schema.json
  - type: JSONSchema
    url: json-schema/facesign-ai-get-sessions-string-refresh-response-schema.json
x-enrichment:
  date: '2026-11-07'
  status: enriched
  artifacts_added: 33
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

FaceSign API — frequently asked questions

Does FaceSign have an API?

Yes. APIs.io lists 3 APIs from FaceSign, including FaceSign Avatars API, FaceSign Langs API and FaceSign Sessions API.

Is there an OpenAPI specification for the FaceSign API?

Yes. APIs.io indexes 3 OpenAPI specifications for FaceSign, each linked for download from this page.

How do I authenticate with the FaceSign API?

FaceSign uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as FaceSign Authentication.

Does FaceSign have an MCP server?

Yes. APIs.io lists 1 MCP server for FaceSign: Remote MCP server at mcp.facesign.ai.

Is the FaceSign API ready for AI agents?

FaceSign has a Kin Score of 38.5 out of 100 (thin) and an Agent Readiness score of 33.0 (agent-ready), scored by API Evangelist on 2026-11-13.

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