Mistral AI
Mistral AI is a Paris-based artificial intelligence company that develops and operates frontier open-weight and commercial large language models, exposed to developers and enterprises through La Plateforme (api.mistral.ai). The developer platform provides an OpenAI-compatible REST surface spanning chat completions, embeddings, content moderation, agents and tool-use, fill-in-the-middle code completion (Codestral), document OCR, audio transcription (Voxtral), fine-tuning, file management, model management, and asynchronous batch inference. Access is via a bearer API key issued from the console, with first-party Python and TypeScript SDKs, published pricing, a status page, and a dated changelog.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Mistral AI the way a machine reads it — 13 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 36.5/100 (thin), with a separate agent-readiness read of 10/100 (human only). 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 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 Chat API
Chat completion API for conversational AI using Mistral's language models, with function calling, streaming, and JSON / structured output.
Mistral Embeddings API
Generate vector embeddings for text and code for retrieval, clustering, classification, and semantic search.
Mistral Moderation API
Content moderation and classification API for detecting harmful content across nine safety categories for text and chat.
Mistral AI Agents API
Agent completions API for building AI agents that handle complex tasks, maintain context, coordinate actions, and use tools and connectors.
Mistral AI FIM API
Fill-in-the-Middle code completion API powered by Codestral for generating code between a prompt and suffix across 80+ languages.
Mistral AI OCR API
Document AI / OCR API that extracts text, images, tables, and structured data from documents and PDFs with complex layouts.
Mistral AI Fine-Tuning API
Fine-tuning API for customizing Mistral models on your own datasets, supporting text, vision, and classifier fine-tuning.
Mistral AI Files API
File management API for uploading, retrieving, downloading, and deleting files used across fine-tuning, batch, and OCR.
Mistral AI Models API
Models management API for listing available models, retrieving model details, and managing fine-tuned models.
Mistral AI Batch API
Batch inference API for processing up to one million requests asynchronously at reduced cost across most endpoints.
Mistral AI Audio Transcription API
Audio transcription API powered by Voxtral for speech-to-text with diarization, word-level timestamps, and streaming.
Scroll within the panel for all 11 ·
Security 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.
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 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 6
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/mistralai · machine-readable index on apis.io