Shapes

Shapes, Inc. is a social AI platform where humans and AI characters ("Shapes") share the same group chats. Shapes are general-purpose social agents with rich personalities, voice, and short-term plus long-term memory that persists across platforms, running on 50+ free text, image, and voice models. Backed by Lightspeed Venture Partners, the company operates the consumer app at shapes.inc and previously offered an OpenAI-compatible developer API (api.shapes.inc) for building Shapes into any application; that developer API was deprecated on 2025-09-25 and the team has said building with Shapes will return. This profile captures the company identity plus the documented API surface, developer tooling, and security posture for the API Evangelist network.

Shapes publishes 3 API contracts indexed on the APIs.io network, including Models API, Chat Completions API, and 1 more. Tagged areas include Company, Artificial Intelligence, AI Agents, Chat, and Social.

The Shapes catalog on APIs.io includes 1 Spectral governance ruleset.

Shapes’ developer surface includes engineering blog, documentation, API reference, getting-started guide, support, pricing, signup flow, and 18 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

44.2/100 developing ▬ flat Agent 16/100 agent aware Front door AI 3/6 light Heartbeat 64/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract 1 MCP Servers 2 Agent Skills

Company Artificial Intelligence AI Agents Chat Social Conversational AI LLM Voice Developer API

Kin Score

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

Composite quality — 44.2/100 · developing

Contract Quality 9.2 / 19

Developer Ergonomics 8.8 / 15

Access Clarity 6.7 / 15

Operational Transparency 1.3 / 10

Contract Governance 1.6 / 9

Discoverability 5.5 / 8

Regulatory Posture 3.4 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 16/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 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 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 0 / 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):

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
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

11 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 48.8 — up to +12.8 composite points
Operational Transparency scores 13.2 — up to +11.3 composite points
Access Clarity scores 44.7 — up to +11.1 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/shapes/apis.yml: open an issue on github.com/api-evangelist/shapes 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.

The OpenAI Interface reaches core

declared — publishes a spec that declares them

2 core of 338 operations graded · api-commons/models

OpenAPI

measured — observed by APIs.io (published)

APIs 3

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

Shapes Models API

The Models API from Shapes — 1 operation(s) for models.

Shapes API

The Shapes API from Shapes — 1 operation(s) for shapes.

Shapes Chat Completions API

The Chat Completions API from Shapes — 1 operation(s) for chat completions.

Open Collections 3

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Shapes Chat API

OPEN COLLECTION

Shapes Chat Models API

OPEN COLLECTION

Chat Shapes API

OPEN COLLECTION

MCP Servers 1

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

Shapes MCP Server

MCP server; 3 tools listed. A candidate, not confirmed as published by the provider.

MCP SERVER

Agent Skills 2

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

Chat with a Shape

AGENT SKILL

Look up a public Shape profile

AGENT SKILL

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Shapes API Rules

55 rules · 53 errors 1 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Shapes Api Overlay

4 actions · update · shapes-api-openapi.yml

GENERATED

Security Posture 2

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

Shapes Authentication

http · 1 scheme

SECURITY

Shapes Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

MCPServer

WellKnown

AgentSkill

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Conventions

Conformance

DataModel

Lifecycle

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

Deprecation

Deprecation

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: shapes
name: Shapes
description: Shapes, Inc. is a social AI platform where humans and AI characters ("Shapes") share the same group chats. Shapes
  are general-purpose social agents with rich personalities, voice, and short-term plus long-term memory that persists across
  platforms, running on 50+ free text, image, and voice models. Backed by Lightspeed Venture Partners, the company operates
  the consumer app at shapes.inc and previously offered an OpenAI-compatible developer API (api.shapes.inc) for building Shapes
  into any application; that developer API was deprecated on 2025-09-25 and the team has said building with Shapes will return.
  This profile captures the company identity plus the documented API surface, developer tooling, and security posture for
  the API Evangelist network.
url: https://raw.githubusercontent.com/api-evangelist/shapes/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://shapes.inc/og-image-1200x630.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- lightspeed-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
x-docs-hosting: vercel
tags:
- Company
- Artificial Intelligence
- AI Agents
- Chat
- Social
- Conversational AI
- LLM
- Voice
- Developer API
common:
- url: https://shapes.inc/blog
  type: Blog
- type: Overlay
  url: overlays/shapes-api-overlay.yaml
- url: https://shapes.inc
  type: Website
- url: https://docs.shapes.inc
  type: DeveloperPortal
- url: https://docs.shapes.inc/introduction
  type: Documentation
- url: https://github.com/shapesinc/shapes-api
  type: APIReference
- url: https://docs.shapes.inc/learninghub
  type: GettingStarted
- url: https://talk.shapes.inc/support
  type: Support
- url: https://docs.shapes.inc/premium
  type: Pricing
- url: https://shapes.inc/developer
  type: SignUp
- url: https://github.com/shapesinc
  type: GitHubOrganization
- url: https://shapes.inc/tos
  type: TermsOfService
- url: https://shapes.inc/privacy
  type: PrivacyPolicy
- url: llms/shapes-llms.txt
  type: LLMsTxt
- url: packages/shapes-packages.yml
  type: Packages
- url: mcp/shapes-mcp.yml
  type: MCPServer
- url: well-known/shapes-well-known.yml
  type: WellKnown
- url: authentication/shapes-authentication.yml
  type: Authentication
- url: conventions/shapes-conventions.yml
  type: Conventions
- url: conformance/shapes-conformance.yml
  type: Conformance
- url: data-model/shapes-data-model.yml
  type: DataModel
- url: lifecycle/shapes-lifecycle.yml
  type: Lifecycle
- url: lifecycle/shapes-lifecycle.yml
  type: Deprecation
- url: security/shapes-domain-security.yml
  type: DomainSecurity
- url: skills/_index.yml
  type: AgentSkill
apis:
- aid: shapes:shapes-models-api
  name: Shapes Models API
  description: The Models API from Shapes — 1 operation(s) for models.
  humanURL: https://github.com/shapesinc/shapes-api
  baseURL: https://api.shapes.inc/v1/
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/shapes-models-api-openapi.yml
  - type: Documentation
    url: https://github.com/shapesinc/shapes-api
  - type: APIReference
    url: https://github.com/shapesinc/shapes-api
- aid: shapes:shapes-shapes-api
  name: Shapes API
  description: The Shapes API from Shapes — 1 operation(s) for shapes.
  humanURL: https://github.com/shapesinc/shapes-api
  baseURL: https://api.shapes.inc/v1/
  tags:
  - Shapes
  properties:
  - type: OpenAPI
    url: openapi/shapes-shapes-api-openapi.yml
  - type: Documentation
    url: https://github.com/shapesinc/shapes-api
  - type: APIReference
    url: https://github.com/shapesinc/shapes-api
- aid: shapes:shapes-chat-completions-api
  name: Shapes Chat Completions API
  description: The Chat Completions API from Shapes — 1 operation(s) for chat completions.
  humanURL: https://github.com/shapesinc/shapes-api
  baseURL: https://api.shapes.inc/v1/
  tags:
  - Chat Completions
  properties:
  - type: OpenAPI
    url: openapi/shapes-chat-completions-api-openapi.yml
  - type: Documentation
    url: https://github.com/shapesinc/shapes-api
  - type: APIReference
    url: https://github.com/shapesinc/shapes-api
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 15
  pass: local-v1

Shapes API — frequently asked questions

Does Shapes have an API?

Yes. APIs.io lists 3 APIs from Shapes, including Shapes Models API, Shapes API and Shapes Chat Completions API.

Is there an OpenAPI specification for the Shapes API?

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

How do I authenticate with the Shapes API?

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

Does Shapes have an MCP server?

Yes. APIs.io lists 1 MCP server for Shapes: MCP server; 3 tools listed. A candidate, not confirmed as published by the provider.

Is the Shapes API ready for AI agents?

Shapes has a Kin Score of 44.2 out of 100 (developing) and an Agent Readiness score of 15.8 (agent-aware), scored by API Evangelist on 2026-11-06.

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