Mistral AI
Mistral AI provides state-of-the-art large language models and AI APIs for developers and enterprises.
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 — 102 machine-readable artifacts across 11 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 66.5/100 (strong), with a separate agent-readiness read of 54/100 (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.
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 11
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
Agent completion operations
Mistral AI Audio API
Audio transcription operations
Mistral AI Batch Jobs API
Batch inference job operations
Mistral AI Chat API
Chat completion operations
Mistral AI Embeddings API
Text embedding operations
Mistral AI Files API
File management operations
Mistral AI FIM API
Fill-in-the-Middle code completion operations
Mistral AI Fine-Tuning Jobs API
Create and manage fine-tuning jobs
Mistral AI Models API
Model management operations
Mistral AI Moderation API
Content moderation and classification operations
Mistral AI OCR API
Document OCR and text extraction operations
Scroll within the panel for all 11 ·
Open Collections 11
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 Audio Transcription API
OPEN COLLECTIONMistral AI Batch API
OPEN COLLECTIONMistral AI Chat API
OPEN COLLECTIONMistral AI Mistral Embeddings API
OPEN COLLECTIONMistral AI Files API
OPEN COLLECTIONMistral AI FIM API
OPEN COLLECTIONMistral AI Fine-Tuning API
OPEN COLLECTIONMistral AI Models API
OPEN COLLECTIONMistral AI Mistral Moderation API
OPEN COLLECTIONMistral AI OCR API
OPEN COLLECTIONScroll within the panel for all 11 ·
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
Conceptual GraphQL schema for the Mistral AI API. Mistral AI exposes a REST API (OpenAI-compatible) at `https://api.mistral.ai/v1`. This schema translates those REST resources i...
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 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 Finops
FINOPSFeatures 16
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Scroll within the panel for all 16 ·
Event Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Mistral AI Streaming Completions API
AsyncAPI definition for Mistral AI streaming completion endpoints. Mistral is OpenAI-compatible and delivers streamed completions as Server-Sent Events (SSE) over HTTP when `str...
ASYNCAPISemantic 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 Context
JSON-LDSpectral Rules 2
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
SPECTRALMistral AI API Rules
SPECTRALJSON Schema 52
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.
AgentCompletionRequest
JSON SCHEMAAgentCompletionResponse
JSON SCHEMAAgentCompletionStreamResponse
JSON SCHEMABatchJob
JSON SCHEMABatchJobList
JSON SCHEMAMistral Chat Completion
JSON SCHEMAChatCompletionRequest
JSON SCHEMAChatCompletionResponse
JSON SCHEMAChatCompletionStreamResponse
JSON SCHEMAChatModerationRequest
JSON SCHEMAChoice
JSON SCHEMAContentPart
JSON SCHEMACreateBatchJobRequest
JSON SCHEMACreateFineTuningJobRequest
JSON SCHEMADeleteFileResponse
JSON SCHEMADeleteModelResponse
JSON SCHEMADocumentInput
JSON SCHEMAEmbedding
JSON SCHEMAEmbeddingRequest
JSON SCHEMAEmbeddingResponse
JSON SCHEMAError
JSON SCHEMAExtractedImage
JSON SCHEMAMistral File
JSON SCHEMAFileList
JSON SCHEMAFimCompletionRequest
JSON SCHEMAFimCompletionResponse
JSON SCHEMAFimCompletionStreamResponse
JSON SCHEMAMistral Fine-Tuning Job
JSON SCHEMAFineTuningJob
JSON SCHEMAFineTuningJobList
JSON SCHEMAFunctionDefinition
JSON SCHEMAHyperparameters
JSON SCHEMAIntegration
JSON SCHEMAMessage
JSON SCHEMAMistral Model
JSON SCHEMAModelList
JSON SCHEMAModerationRequest
JSON SCHEMAModerationResponse
JSON SCHEMAModerationResult
JSON SCHEMAOcrPage
JSON SCHEMAOcrRequest
JSON SCHEMAOcrResponse
JSON SCHEMASegment
JSON SCHEMAStreamChoice
JSON SCHEMATool
JSON SCHEMAToolCall
JSON SCHEMATrainingFile
JSON SCHEMATranscriptionRequest
JSON SCHEMATranscriptionResponse
JSON SCHEMAUpdateModelRequest
JSON SCHEMAUsage
JSON SCHEMAWord
JSON SCHEMAScroll within the panel for all 52 ·
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 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 4
Portal, sign-up, and the first successful call
Documentation 5
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 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
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