Meshcapade

Meshcapade builds digital humans - technology that turns images, video, motion capture, body measurements or text prompts into anatomically accurate, animation-ready 3D avatars. Its platform is built on the SMPL, SMPL-X and SUPR parametric body-model family that originated at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany. Meshcapade offers a hosted avatar-creation platform at me.meshcapade.com and a REST API for programmatic avatar generation, plus open-source body-model libraries and integrations for Blender, Maya and Unreal Engine. Customers span fashion, robotics, gaming and animation, fitness, and scientific research.

Meshcapade is listed with 1 API on the APIs.io network. Tagged areas include Company, Ai Enterprise Software, Digital Humans, 3D Avatars, and Body Modeling.

Meshcapade’s developer surface includes documentation, API reference, engineering blog, support, signup flow, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

22.2/100 emerging ▬ flat Agent 0/100 human only Front door AI 5/6 prominent Heartbeat 7/100 dormant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API

Company Ai Enterprise Software Digital Humans3D AvatarsBody ModelingSMPLComputer Vision Animation Artificial Intelligence

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 22.2/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 6.9 / 17

Access Clarity 5.8 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 6.2 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 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 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/.

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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

13 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 34.2 — up to +13.2 composite points
Operational Transparency scores 2.6 — up to +12.7 composite points

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/meshcapade/apis.yml: open an issue on github.com/api-evangelist/meshcapade 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.

Market	Position	Depth	Registered MCP server	Declares compatibility
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	undeclared	-	-	-

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.

APIs 1

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

Meshcapade API

REST API for programmatic creation of animation-ready 3D avatars from images, video, measurements and text, built on the SMPL body-model family.

Security Posture 1

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

Meshcapade Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: meshcapade
name: Meshcapade
description: Meshcapade builds digital humans - technology that turns images, video, motion capture, body measurements or
  text prompts into anatomically accurate, animation-ready 3D avatars. Its platform is built on the SMPL, SMPL-X and SUPR
  parametric body-model family that originated at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany.
  Meshcapade offers a hosted avatar-creation platform at me.meshcapade.com and a REST API for programmatic avatar generation,
  plus open-source body-model libraries and integrations for Blender, Maya and Unreal Engine. Customers span fashion, robotics,
  gaming and animation, fitness, and scientific research.
url: https://raw.githubusercontent.com/api-evangelist/meshcapade/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://meshcapade.com/images/meta/main.jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- hv-capital
- matrix-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Ai Enterprise Software
- Digital Humans
- 3D Avatars
- Body Modeling
- SMPL
- Computer Vision
- Animation
- Artificial Intelligence
tags_raw:
- Company
- Ai Enterprise Software
- Digital Humans
- 3D Avatars
- Body Modeling
- SMPL
- Computer Vision
- Animation
- Artificial Intelligence
- Computer-Vision
apis:
- name: Meshcapade API
  description: REST API for programmatic creation of animation-ready 3D avatars from images, video, measurements and text,
    built on the SMPL body-model family.
  humanURL: https://meshcapade.com/docs/api/
  baseURL: https://api.meshcapade.com
  tags:
  - Digital Humans
  - 3D Avatars
  - Avatar Generation
  properties:
  - type: Documentation
    url: https://meshcapade.com/docs/api/
  - type: APIReference
    url: https://meshcapade.com/docs/api/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- url: https://medium.com/feed/meshcapade
  type: BlogRSS
- type: Website
  url: https://meshcapade.com
- type: DeveloperPortal
  url: https://me.meshcapade.com
- type: Documentation
  url: https://meshcapade.com/docs/api/
- type: APIReference
  url: https://meshcapade.com/docs/api/
- type: GitHubOrganization
  url: https://github.com/Meshcapade
- type: Blog
  url: https://medium.com/meshcapade/
- type: Support
  url: http://meshcapade-25322263.hs-sites-eu1.com/en/meshcapade-help
- type: SignUp
  url: https://me.meshcapade.com
- type: PrivacyPolicy
  url: https://meshcapade.com/privacy-policy
- type: TermsOfService
  url: https://me.meshcapade.com/terms-of-service
- type: Packages
  url: packages/meshcapade-packages.yml
- type: SDKs
  url: packages/meshcapade-packages.yml
- type: LLMsTxt
  url: llms/meshcapade-llms.txt
- type: DomainSecurity
  url: security/meshcapade-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 4
  pass: local-v1

Meshcapade API — frequently asked questions

Does Meshcapade have an API?

Yes. APIs.io lists 1 API from Meshcapade, including Meshcapade API.

Is the Meshcapade API ready for AI agents?

Meshcapade has a Kin Score of 22.2 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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Tools for providers

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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How their score was established

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