Featherless AI
Featherless AI is a serverless LLM inference platform that serves thousands of open-weight models from the Hugging Face catalog behind a single OpenAI-compatible REST API. It uses flat monthly subscription pricing with unlimited tokens rather than per-token billing, exposing chat completions, text completions, an embeddings endpoint, and a large models catalog.
Featherless AI publishes 4 APIs on the APIs.io network, including Chat API, Completions API, Embeddings API, and 1 more. Tagged areas include AI, LLM, Inference, Serverless, and Open Models.
The Featherless AI catalog on APIs.io includes 1 event-driven AsyncAPI specification and 1 Spectral governance ruleset.
Featherless AI’s developer surface includes authentication, documentation, engineering blog, and 8 more developer resources.
Kin Score
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Featherless AI Chat API
OpenAI-compatible chat completions.
Featherless AI Completions API
OpenAI-compatible legacy text completions.
Featherless AI Embeddings API
OpenAI-compatible text embeddings.
Featherless AI Models API
Model catalog discovery.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Featherless AI API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Featherless Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Featherless Finops
FINOPSEvent Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Featherless AI Chat Completions Streaming (HTTP + SSE)
AsyncAPI 2.6 description of Featherless AI's **chat completion streaming** surface. Featherless AI's core inference API is OpenAI-compatible and does not publish a WebSocket API...
ASYNCAPISpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
Featherless AI API Rules
SPECTRALSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API