Mistral AI
Mistral AI is a French artificial intelligence company that develops and provides frontier large language models and APIs for developers and enterprises. Their developer platform offers APIs for chat completions, embeddings, fine-tuning, OCR, batch processing, and agentic workflows, enabling teams to build sophisticated AI-powered applications.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Mistral AI the way a machine reads it — 71 machine-readable artifacts across 8 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 — Mistral AI scores 61.1/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). 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
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Mistral AI
Each block below is one kind of artifact we hold for Mistral AI. 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 8
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.
Mistral AI Agents API
Endpoints for interacting with Mistral AI agents that can handle complex tasks with tool use and multi-step reasoning.
Mistral AI Batch Jobs API
Endpoints for creating, listing, retrieving, and cancelling batch processing jobs for asynchronous request handling.
Mistral AI Chat Completions API
Endpoints for generating chat completions using Mistral language models in a conversational format.
Mistral AI Embeddings API
Endpoints for generating vector embeddings from text inputs using Mistral embedding models.
Mistral AI Fine-Tuning Jobs API
Endpoints for creating, managing, and monitoring fine-tuning jobs on Mistral AI models.
Mistral AI Models API
Endpoints for listing, retrieving, updating, and deleting models available on the Mistral AI platform.
Mistral AI OCR API
Endpoints for extracting text and structured content from documents and images using optical character recognition.
Mistral AI Training Jobs API
Endpoints for creating and managing training jobs including pre-training, supervised fine-tuning, and reinforcement learning pipelines.
Scroll within the panel for all 8 ·
Open Collections 8
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Mistral AI Agents API
OPEN COLLECTIONMistral AI Batch API
OPEN COLLECTIONMistral AI Chat Completions API
OPEN COLLECTIONMistral AI Embeddings API
OPEN COLLECTIONMistral AI Fine-Tuning API
OPEN COLLECTIONMistral AI Forge API
OPEN COLLECTIONMistral AI Models API
OPEN COLLECTIONMistral AI OCR API
OPEN COLLECTIONScroll within the panel for all 8 ·
GraphQL 1
Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.
GraphQL schemas published by this provider.
Mistral AI GraphQL Schema
This directory contains a conceptual GraphQL schema for the Mistral AI API, derived from the official REST API documented at [https://docs.mistral.ai/api/](https://docs.mistral....
GRAPHQLPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Mistral Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Mistral Ai Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Mistral Ai Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Mistral AI API Rules
SPECTRALJSON Schema 45
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AgentCompletionChoice
JSON SCHEMAAgentCompletionRequest
JSON SCHEMAAgentCompletionResponse
JSON SCHEMAMistral AI Batch Job
JSON SCHEMABatchJob
JSON SCHEMABatchJobList
JSON SCHEMAMistral AI Chat Completion
JSON SCHEMAChatCompletionChoice
JSON SCHEMAChatCompletionRequest
JSON SCHEMAChatCompletionResponse
JSON SCHEMAChatMessage
JSON SCHEMACreateBatchJobRequest
JSON SCHEMACreateFineTuningJobRequest
JSON SCHEMACreateTrainingJobRequest
JSON SCHEMADeleteModelResponse
JSON SCHEMADocumentInput
JSON SCHEMAEmbeddingObject
JSON SCHEMAEmbeddingRequest
JSON SCHEMAEmbeddingResponse
JSON SCHEMAError
JSON SCHEMAExtractedImage
JSON SCHEMAMistral AI Fine-Tuning Job
JSON SCHEMAFineTuningJob
JSON SCHEMAFineTuningJobList
JSON SCHEMAForgeHyperparameters
JSON SCHEMAFunctionDefinition
JSON SCHEMAHyperparameters
JSON SCHEMAIntegration
JSON SCHEMAMistral AI Model
JSON SCHEMAModelCapabilities
JSON SCHEMAModelConfig
JSON SCHEMAModelList
JSON SCHEMAMistral AI OCR Response
JSON SCHEMAOcrPage
JSON SCHEMAOcrRequest
JSON SCHEMAOcrResponse
JSON SCHEMAOcrUsage
JSON SCHEMAPageDimensions
JSON SCHEMATool
JSON SCHEMAToolCall
JSON SCHEMATrainingFile
JSON SCHEMATrainingJob
JSON SCHEMATrainingJobList
JSON SCHEMAUpdateModelRequest
JSON SCHEMAUsage
JSON SCHEMAScroll within the panel for all 45 ·
JSON Structure 1
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Mistral Ai Structure
JSON STRUCTURESecurity 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.
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.
Resources
Every other property we hold for Mistral AI — 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 2
Portal, sign-up, and the first successful call
Documentation 6
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
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