Contextual AI
Contextual AI is an enterprise RAG platform built around a Grounded Language Model (GLM) engineered to minimize hallucinations. Its REST API exposes end-to-end RAG agents (create, configure, query) plus standalone component APIs - Generate, Rerank, Parse, and LMUnit - over datastores of ingested documents, all authenticated with a Bearer API key.
Contextual AI publishes 9 API contracts indexed on the APIs.io network, including Agents API, Agents Query API, Datastores API, and 6 more. Tagged areas include Artificial Intelligence, RAG, LLM, Grounded Language Model, and Enterprise.
The Contextual AI catalog on APIs.io includes 1 event-driven AsyncAPI specification and 1 Spectral governance ruleset.
Contextual AI’s developer surface includes pricing, authentication, documentation, engineering blog, and 11 more developer resources.
What this lets a business do 1
Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →
Kin Score
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 |
|---|---|---|---|---|
| Retrieval, Vector and RAG | covered | 30.8 | - | - |
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.
APIs 9
Individual APIs this provider publishes, each with its own machine-readable definition.
Contextual AI Agents API
Create, configure, and manage RAG agents.
Contextual AI Agents Query API
Query agents for grounded responses, retrievals, metrics, and feedback.
Contextual AI Datastores API
Create and manage datastores that hold ingested knowledge.
Contextual AI Documents API
Ingest and manage documents within a datastore.
Contextual AI Generate API
Grounded generation with the Grounded Language Model (GLM).
Contextual AI LMUnit API
Evaluate model responses with natural-language unit tests.
Contextual AI Parse API
Parse documents into structured, AI-ready markdown.
Contextual AI Rerank API
Instruction-following reranking of retrieved passages.
Contextual AI Users API
Manage workspace users.
Scroll for all 9
Open Collections 11
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONContextual AI Platform Agents API
OPEN COLLECTIONContextual AI Platform Agents Agents Query API
OPEN COLLECTIONContextual AI Platform Agents Datastores API
OPEN COLLECTIONContextual AI Platform Agents Documents API
OPEN COLLECTIONContextual AI Platform Agents Generate API
OPEN COLLECTIONContextual AI Platform Agents LMUnit API
OPEN COLLECTIONContextual AI Platform Agents Parse API
OPEN COLLECTIONContextual AI Platform Agents Rerank API
OPEN COLLECTIONContextual AI Platform Agents Users API
OPEN COLLECTIONContextual AI Platform API
OPEN COLLECTIONScroll for all 11
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Contextual Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Contextual Ai Finops
FINOPSEvent Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Contextual AI Agent Query Streaming (HTTP + SSE)
AsyncAPI 2.6 description of Contextual AI's **agent query streaming** surface. Contextual AI does not publish a WebSocket API. The only asynchronous / event-style transport docu...
ASYNCAPISpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
Contextual AI — asyncapi rules
SPECTRALSecurity Posture 4
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 4
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.