Literal AI
Literal AI is the collaborative observability, evaluation, and analytics platform for building production-grade LLM applications, from the Chainlit team. Its API is GraphQL (POST /api/graphql) consumed through Python and TypeScript SDKs, capturing threads, steps, generations, datasets, experiments, prompts, and scores, with an additional OpenTelemetry (OTLP) ingestion path for traces.
Literal AI publishes 1 API on the APIs.io network: GraphQL API. Tagged areas include Artificial Intelligence, LLM, Observability, Evaluation, and Monitoring.
Literal AI’s developer surface includes authentication, documentation, and 8 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Literal AI GraphQL API
The GraphQL API from Literal AI — 1 operation(s) for graphql.
Open Collections 3
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
GraphQL 1
GraphQL schemas published by this provider.
Literal AI GraphQL API
Representative GraphQL schema for the [Literal AI](https://www.literalai.com/) LLM
GRAPHQLPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Literalai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Literalai Finops
FINOPSSecurity 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 2
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for providers
9 MCP tools reach this
find_providersBrowse and filter every provider in the catalog.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.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/providers/literalai"
curl "https://apis.io/api/v1/providers?limit=25"
curl "https://apis.io/api/v1/providers/literalai/operations?limit=25"
curl "https://apis.io/api/v1/providers/literalai/evidence"
Discovery needs no key. Ratings and market analysis are Pro.