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 AI, 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 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Literal AI API
OPEN COLLECTIONGraphQL 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