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Ex-Human website screenshot

Ex-Human

Ex-Human is a "Digital Human as a Service" platform that provides a single, unified API for building fully immersive, emotionally intelligent AI companions that communicate through text, voice, images, and video. Backed by a16z, the company lets developers design unique character personalities and generate multimodal responses at production scale. The Ex-Human API spans a multimodal chatbot (roleplay and realistic-chat models with long-term memory and smart replies), image generation (personalized gallery images and avatars via the persona-2 and supreme models), talking-head avatar animation (lip-sync from text or audio), image-to-video animation jobs, and text-to-speech. It is trusted by large consumer-technology companies to power AI companions, entertainment and gaming NPCs, dating experiences, AI twins, education tutors, and healthcare and therapy support at scale.

agent native

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles Ex-Human the way a machine reads it — 8 machine-readable artifacts across 4 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Ex-Human scores 48.5/100 (developing), with a separate agent-readiness read of 65/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 48.5/100 · developing
Contract Quality 14.1 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 65/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 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

How we profile Ex-Human

Each block below is one kind of artifact we hold for Ex-Human. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 4

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

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

Ex-Human animations API

The animations API from Ex-Human — 6 operation(s) for animations.

Ex-Human chatbot API

The chatbot API from Ex-Human — 3 operation(s) for chatbot.

Ex-Human Image Generation API

The Image Generation API from Ex-Human — 2 operation(s) for image generation.

Ex-Human Text to Speech API

The Text to Speech API from Ex-Human — 1 operation(s) for text to speech.

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

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

ex-human-mcp.yml

MCP SERVER

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Ex Human Authentication

http · 1 scheme

SECURITY

Ex Human Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

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

Ex Human Agentic Access

12 operations · 11 acting

12 operations · 11 acting

AGENTIC

Resources

Every other property we hold for Ex-Human — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Access & Security 2

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/ex-human · machine-readable index on apis.io