Home/Bots/MistralAI-Training
AIDirectory evidence: Verified

MistralAI-Training

MistralAI-Training is a crawler associated with Mistral AI, used for crawling web content to build datasets for training Mistral generative AI models. It is commonly identified by the user-agent pattern `MistralAI-Training`.

MistralAI-Training
OperatorMistral AI
RiskNeutral

Overview

MistralAI-Training is a crawler associated with Mistral AI, used for crawling web content to build datasets for training Mistral generative AI models.

Its primary user-agent pattern is MistralAI-Training; related patterns include Mistral training crawler; a representative HTTP user-agent is Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; MistralAI-Training/1.0; +https://docs.mistral.ai/robots).

MistralAI-Training is verified with High confidence. The identity type is Official Documented.

MistralAI-Training is documented as honoring robots.txt directives.

Treat the user-agent or identity as a claim and corroborate it with published network data, reverse DNS, signed-request evidence, or current operator documentation when available.

Identity

User-Agent
MistralAI-Training
Aliases
Mistral training crawler
HTTP Agent Examples
Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; MistralAI-Training/1.0; +https://docs.mistral.ai/robots)
Robots.txt Token
MistralAI-Training
Identity Type
Official Documented
Evidence Method
Verify MistralAI-Training by matching `MistralAI-Training` to Mistral AI evidence, then corroborating the request with source-network ownership, reverse DNS, signed request data, or current operator documentation.

Classification

Type
AI
Kind
Crawler
Family
Mistral AI
Purpose
model-training

Behavior and handling

Common Use
crawling web content to build datasets for training Mistral generative AI models
Detection Notes
MistralAI-Training traffic is primarily detected by `MistralAI-Training`; related patterns include `Mistral training crawler`; a representative HTTP user-agent is `Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; MistralAI-Training/1.0; +https://docs.mistral.ai/robots)`. Treat these values as identification claims and corroborate them with source-network ownership, reverse DNS, signed request data, or current operator documentation.
Respects robots.txt
Yes
Spoofing Risk
MistralAI-Training can be spoofed if identification relies only on a user-agent string; corroborate the request with stronger operator-controlled evidence when available.
Risk
Neutral
Recommended Handling
Depends

Rules and controls

Robots.txt Snippet
User-agent: MistralAI-Training Disallow: /