Synthesis AI website screenshot

Synthesis AI

Synthesis AI was a San Francisco synthetic-data company, founded in 2019 by Yashar Behzadi, that generated photorealistic, pixel-perfectly labeled images of humans for training computer-vision models. It sold that capability as an API: FaceAPI for labeled facial imagery and, from November 2021, HumanAPI for whole-body 3D digital humans, plus an Identities API for selecting subjects. Jobs were described as JSON documents (identities, expressions, gaze, head turn, hair, accessories, bodies and clothing, gesture animations, camera and light rigs, HDRI environments) and submitted through a command-line client or web console, with rendered output downloaded by job ID. The company raised a $17M Series A in 2022 on more than $24M total funding and was dissolved during 2024-2025. Its API is gone: synthesis.ai is a parked Gandi holding page reachable only over HTTP, and docs.synthesis.ai and api.synthesis.ai no longer resolve. What survives publicly is the Synthesis-AI-Dev GitHub organization (17 public repositories, including the Human API input-JSON appendix and the client tooling) and the official synthesisai package on PyPI.

Synthesis AI is profiled on the APIs.io network. Tagged areas include Company, Synthetic Data, Computer Vision, Machine Learning, and Artificial Intelligence.

Synthesis AI’s developer surface includes engineering blog, code examples, and 7 more developer resources.

5.8/100 minimal ▬ flat Agent 1/100 human only Heartbeat 0/100 dormant library Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →
0 APIs
CompanySynthetic DataComputer VisionMachine LearningArtificial IntelligenceDigital HumansTraining Data3D

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) 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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Show this score on your site. Kin Score badge preview for Synthesis AI It updates itself when the score changes. Paste this where you link to your API docs:
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Agent readiness — checks not met, largest first (exact, from this profile):
  • Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
  • MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
  • Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
  • Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
  • 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)
  • Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
12 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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.
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/synthesis-ai/apis.yml: open an issue on github.com/api-evangelist/synthesis-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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

MarketPositionDepthRegistered MCP serverDeclares compatibility
ONVIF Video Analytics (video surveillance, edge cameras, computer vision) distribution 9.6 (thin) - -

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Examples 1

Example request and response payloads for these APIs.

Security Posture 1

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

Synthesis Ai Domain Security

no transport/DNS hardening detected

SECURITY

Resources

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Company 3

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: synthesis-ai
name: Synthesis AI
description: 'Synthesis AI was a San Francisco synthetic-data company, founded in 2019 by Yashar Behzadi, that generated photorealistic,
  pixel-perfectly labeled images of humans for training computer-vision models. It sold that capability as an API: FaceAPI
  for labeled facial imagery and, from November 2021, HumanAPI for whole-body 3D digital humans, plus an Identities API for
  selecting subjects. Jobs were described as JSON documents (identities, expressions, gaze, head turn, hair, accessories,
  bodies and clothing, gesture animations, camera and light rigs, HDRI environments) and submitted through a command-line
  client or web console, with rendered output downloaded by job ID. The company raised a $17M Series A in 2022 on more than
  $24M total funding and was dissolved during 2024-2025. Its API is gone: synthesis.ai is a parked Gandi holding page reachable
  only over HTTP, and docs.synthesis.ai and api.synthesis.ai no longer resolve. What survives publicly is the Synthesis-AI-Dev
  GitHub organization (17 public repositories, including the Human API input-JSON appendix and the client tooling) and the
  official synthesisai package on PyPI.'
url: https://raw.githubusercontent.com/api-evangelist/synthesis-ai/refs/heads/main/apis.yml
deliveryModel:
  model: library
  open_source: false
  commercial: false
  callable_host: false
  label: Library · distributed through package registries, no callable service
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: none
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://avatars.githubusercontent.com/u/55990723?v=4
x-type: company
x-source: harvest:secondary-market
x-tier: stub
x-tier-reason: harvest
specificationVersion: '0.23'
created: '2026-08-05'
modified: '2026-10-06'
tags:
- Company
- Synthetic Data
- Computer Vision
- Machine Learning
- Artificial Intelligence
- Digital Humans
- Training Data
- 3D
tags_raw:
- Company
- Synthetic Data
- Computer Vision
- Machine Learning
- Artificial Intelligence
- Digital Humans
- Training Data
- 3D
- Computer-Vision
- Machine-Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- url: http://synthesis.ai/blog/
  type: Blog
- type: Website
  url: http://synthesis.ai/
- type: GitHubOrganization
  url: https://github.com/Synthesis-AI-Dev
- type: LinkedIn
  url: https://www.linkedin.com/company/synthesis-ai
- type: SecondaryMarket
  url: https://forgeglobal.com/synthesis-ai_stock/
- type: Packages
  url: packages/synthesis-ai-packages.yml
- type: Lifecycle
  url: lifecycle/synthesis-ai-lifecycle.yml
- type: DomainSecurity
  url: security/synthesis-ai-domain-security.yml
- type: Examples
  name: Human API job request (complex example, verbatim from the provider's GitHub)
  url: examples/synthesis-ai-human-api-job-complex-example.json
x-enrichment:
  date: '2026-08-05'
  status: minimal
  artifacts_added: 4
  pass: local-v1
x-coverage:
  state: none
  reason: defunct
  detail: Synthesis AI was dissolved during 2024-2025 — synthesis.ai now answers only over HTTP with a Gandi "parked by the
    owner" page (the identical 2332-byte body is returned for every path, including a control path, so every 200 is a soft-404),
    and the FaceAPI/HumanAPI documentation host docs.synthesis.ai has been removed from DNS entirely.
  evidence:
  - url: http://synthesis.ai/
    status: 200
  - url: http://synthesis.ai/openapi.json
    status: 200
  - url: http://synthesis.ai/this-path-does-not-exist-ae-control-12345
    status: 200
  - url: https://docs.synthesis.ai/
    status: 0
  checked: '2026-08-05'

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