Keyframe Labs

Keyframe Labs builds real-time foundation models that turn AI voice and text agents into lifelike, emotionally expressive video calls. Its Persona-1.5-Live product lets developers add photoreal AI avatars ("personas") to their agents and applications with a few lines of embed code, at roughly 500ms latency and from $0.06 per minute. The platform exposes a REST Sessions API (create a live session, manage meeting bots for Zoom/Meet/Teams, and list voices and LLM models), JavaScript/TypeScript SDKs, and embeddable UI elements, with hosted and self-managed integration paths that plug into agent frameworks such as LiveKit Agents, ElevenLabs Agents, and OpenAI Realtime. Founded in 2025 and backed by Y Combinator (Spring 2026), Keyframe Labs is based in San Francisco.

Keyframe Labs publishes 6 API contracts indexed on the APIs.io network, including LLM models API, Meet bots API, Sessions API, and 3 more. Tagged areas include Company, Artificial Intelligence, Avatars, Video, and Conversational AI.

The Keyframe Labs catalog on APIs.io includes 1 Spectral governance ruleset.

Keyframe Labs’ developer surface includes authentication, documentation, API reference, getting-started guide, signup flow, pricing, engineering blog, and 22 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

44.7/100 developing ▬ flat Agent 33/100 agent ready Front door AI 5/6 prominent Heartbeat 96/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract 2 Agent Skills

Company Artificial Intelligence Avatars Video Conversational AI Agents Real-Time Personas Voice Y Combinator

Kin Score

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

Composite quality — 44.7/100 · developing

Contract Quality 9.5 / 19

Developer Ergonomics 9.9 / 15

Access Clarity 7.5 / 15

Operational Transparency 0.3 / 10

Contract Governance 1.6 / 9

Discoverability 5.5 / 8

Regulatory Posture 2.3 / 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 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 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
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)
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
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)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

7 more unmet checks in the Agent Readiness table above.

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

Operational Transparency scores 2.6 — up to +12.7 composite points
Contract Quality scores 50.8 — up to +12.3 composite points
Access Clarity scores 50.0 — up to +10.0 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/keyframe-labs/apis.yml: open an issue on github.com/api-evangelist/keyframe-labs 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
Accelerator Portfolios (Y Combinator, 500 Global, Antler participation)	undeclared	-	-	1

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.

Standards implemented 1

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.

OpenAPI

measured — observed by APIs.io (published)

APIs 6

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

Keyframe Labs LLM models API

The LLM models API from Keyframe Labs — 2 operation(s) for llm models.

Keyframe Labs Meet bots API

The Meet bots API from Keyframe Labs — 3 operation(s) for meet bots.

Keyframe Labs Sessions API

The Sessions API from Keyframe Labs — 1 operation(s) for sessions.

Keyframe Labs Voices API

The Voices API from Keyframe Labs — 2 operation(s) for voices.

Keyframe Labs Avatars API

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

Keyframe Labs Generations API

The Generations API from Keyframe Labs — 3 operation(s) for generations.

Open Collections 4

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

Sessions LLM models API

OPEN COLLECTION

Sessions LLM models Meet bots API

OPEN COLLECTION

LLM models Sessions API

OPEN COLLECTION

Sessions LLM models Voices API

OPEN COLLECTION

Agent Skills 2

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

Send a Keyframe persona into a meeting

AGENT SKILL

Start a Keyframe persona session

AGENT SKILL

Keyframe Labs API pricing

Prices published by Keyframe Labs, read 2026-10-07 from keyframelabs.com/pricing.

Plan	Price
Free	$0/ month Includes: Credits included 180 / mo; Minutes included 30 / mo; Conversation limit 5 min; Concurrent sessions 1
Starter	$50/ month Includes: Credits included 1,800 / mo; Minutes included 300 / mo; Conversation limit 10 min; Concurrent sessio
Growth	$100/ month Includes: Credits included 6,000 / mo; Minutes included 1,000 / mo; Conversation limit 20 min; Concurrent sess
Scale	$300/ month Includes: Credits included 18,000 / mo; Minutes included 3,000 / mo; Conversation limit 60 min; Concurrent ses
Enterprise	Custom Includes: Custom credits/minutes; Unlimited conversation limit; Elevated concurrent sessions

Plan details, limits and sources →

Billed by: subscription · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Keyframe Labs Plans Pricing

5 plans

PLANS

Keyframe Labs Price Estimates

0 plans

PLANS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Keyframe Labs

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Keyframe Labs Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Keyframe Labs API Rules

49 rules · 45 errors 3 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.

Keyframe Labs Sessions Overlay

2 actions · documentation · keyframe-labs-sessions-openapi-original.json

DERIVED

Security Posture 2

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

Keyframe Labs Authentication

http · 1 scheme

SECURITY

Keyframe Labs Domain Security

TLSv1.3 · HSTS

SECURITY

Agentic Access 1

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

Keyframe Labs Agentic Access

8 operations · 3 acting · 1 human-in-the-loop

8 operations · 3 acting

AGENTIC

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

SignUp

Demo

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

LLMsTxt

LLMsTxt

X-MCPServerCandidate

X-MCPServerCandidate

AgentSkill

AgentSkill

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Components

Conformance

ErrorCatalog

Lifecycle

Conventions

DataModel

Build 3

SDKs, sample code, and the tooling you integrate with

Packages

Packages

SDKs

SDKs

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

Pricing

Pricing

Company 4

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Twitter

Twitter

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: keyframe-labs
name: Keyframe Labs
description: Keyframe Labs builds real-time foundation models that turn AI voice and text agents into lifelike, emotionally
  expressive video calls. Its Persona-1.5-Live product lets developers add photoreal AI avatars ("personas") to their agents
  and applications with a few lines of embed code, at roughly 500ms latency and from $0.06 per minute. The platform exposes
  a REST Sessions API (create a live session, manage meeting bots for Zoom/Meet/Teams, and list voices and LLM models), JavaScript/TypeScript
  SDKs, and embeddable UI elements, with hosted and self-managed integration paths that plug into agent frameworks such as
  LiveKit Agents, ElevenLabs Agents, and OpenAI Realtime. Founded in 2025 and backed by Y Combinator (Spring 2026), Keyframe
  Labs is based in San Francisco.
url: https://raw.githubusercontent.com/api-evangelist/keyframe-labs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
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: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://platform.keyframelabs.com/og.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
tags:
- Company
- Artificial Intelligence
- Avatars
- Video
- Conversational AI
- Agents
- Real-Time
- Personas
- Voice
- Y Combinator
tags_raw:
- Company
- AI
- Avatars
- Video
- Conversational AI
- Agents
- Real-Time
- Personas
- Voice
- Y Combinator
apis:
- aid: keyframe-labs:keyframe-labs-llm-models-api
  name: Keyframe Labs LLM models API
  description: The LLM models API from Keyframe Labs — 2 operation(s) for llm models.
  humanURL: https://docs.keyframelabs.com/api-reference
  baseURL: https://api.keyframelabs.com/v1
  tags:
  - LLM Models
  tags_raw:
  - LLM models
  properties:
  - type: OpenAPI
    url: openapi/keyframe-labs-llm-models-api-openapi.yml
- aid: keyframe-labs:keyframe-labs-meet-bots-api
  name: Keyframe Labs Meet bots API
  description: The Meet bots API from Keyframe Labs — 3 operation(s) for meet bots.
  humanURL: https://docs.keyframelabs.com/api-reference
  baseURL: https://api.keyframelabs.com/v1
  tags:
  - Meet bots
  properties:
  - type: OpenAPI
    url: openapi/keyframe-labs-meet-bots-api-openapi.yml
- aid: keyframe-labs:keyframe-labs-sessions-api
  name: Keyframe Labs Sessions API
  description: The Sessions API from Keyframe Labs — 1 operation(s) for sessions.
  humanURL: https://docs.keyframelabs.com/api-reference
  baseURL: https://api.keyframelabs.com/v1
  tags:
  - Sessions
  properties:
  - type: OpenAPI
    url: openapi/keyframe-labs-sessions-api-openapi.yml
- aid: keyframe-labs:keyframe-labs-voices-api
  name: Keyframe Labs Voices API
  description: The Voices API from Keyframe Labs — 2 operation(s) for voices.
  humanURL: https://docs.keyframelabs.com/api-reference
  baseURL: https://api.keyframelabs.com/v1
  tags:
  - Voice
  tags_raw:
  - Voices
  properties:
  - type: OpenAPI
    url: openapi/keyframe-labs-voices-api-openapi.yml
- aid: keyframe-labs:keyframe-labs-avatars-api
  name: Keyframe Labs Avatars API
  description: The Avatars API from Keyframe Labs — 1 operation(s) for avatars.
  humanURL: https://docs.keyframelabs.com/api-reference
  baseURL: https://api.keyframelabs.com/v1
  tags:
  - Avatars
  properties:
  - type: OpenAPI
    url: openapi/keyframe-labs-avatars-api-openapi.yml
- aid: keyframe-labs:keyframe-labs-generations-api
  name: Keyframe Labs Generations API
  description: The Generations API from Keyframe Labs — 3 operation(s) for generations.
  humanURL: https://docs.keyframelabs.com/api-reference
  baseURL: https://api.keyframelabs.com/v1
  tags:
  - Generations
  properties:
  - type: OpenAPI
    url: openapi/keyframe-labs-generations-api-openapi.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/keyframe-labs-plans-pricing.yml
- type: AgenticAccess
  url: agentic-access/keyframe-labs-agentic-access.yml
- type: DomainSecurity
  url: security/keyframe-labs-domain-security.yml
- type: Authentication
  url: authentication/keyframe-labs-authentication.yml
- type: LLMsTxt
  url: llms/keyframe-labs-llms.txt
- type: Packages
  url: packages/keyframe-labs-packages.yml
- type: SDKs
  url: packages/keyframe-labs-packages.yml
- type: Components
  url: components/keyframe-labs-components.yml
- type: X-MCPServerCandidate
  url: mcp/keyframe-labs-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: Overlay
  url: overlays/keyframe-labs-sessions-overlay.yaml
- type: Conformance
  url: conformance/keyframe-labs-conformance.yml
- type: ErrorCatalog
  url: errors/keyframe-labs-problem-types.yml
- type: Lifecycle
  url: lifecycle/keyframe-labs-lifecycle.yml
- type: Conventions
  url: conventions/keyframe-labs-conventions.yml
- type: DataModel
  url: data-model/keyframe-labs-data-model.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Website
  url: https://www.keyframelabs.com
- type: DeveloperPortal
  url: https://docs.keyframelabs.com
- type: Documentation
  url: https://docs.keyframelabs.com
- type: APIReference
  url: https://docs.keyframelabs.com/api-reference
- type: GettingStarted
  url: https://docs.keyframelabs.com/guides/getting-started/quickstart-hosted
- type: SignUp
  url: https://platform.keyframelabs.com
- type: Pricing
  url: https://www.keyframelabs.com/pricing
- type: Blog
  url: https://www.keyframelabs.com/blog
- type: GitHubOrganization
  url: https://github.com/keyframelabs
- type: Support
  url: https://discord.gg/Wfce5xHNd5
- type: Demo
  url: https://demo.keyframelabs.com
- type: LinkedIn
  url: https://www.linkedin.com/company/keyframe-labs-inc
- type: Twitter
  url: https://x.com/KeyframeLabs
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Keyframe Labs API — frequently asked questions

Does Keyframe Labs have an API?

Yes. APIs.io lists 6 APIs from Keyframe Labs, including Keyframe Labs LLM models API, Keyframe Labs Meet bots API and Keyframe Labs Sessions API, and 3 more.

Is there an OpenAPI specification for the Keyframe Labs API?

Yes. APIs.io indexes 6 OpenAPI specifications for Keyframe Labs, each linked for download from this page.

How do I authenticate with the Keyframe Labs API?

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

How much does the Keyframe Labs API cost?

Keyframe Labs publishes its prices; its Free plan is $0/ month as of 2026-10-07. APIs.io lists 5 pricing plans for Keyframe Labs, with each plan's price, limits and inclusions under Pricing on this page.

Is the Keyframe Labs API ready for AI agents?

Keyframe Labs has a Kin Score of 44.7 out of 100 (developing) and an Agent Readiness score of 33.2 (agent-ready), scored by API Evangelist on 2026-11-06.

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