Tool detail
Mistral AI · Embeddings
Returns numeric vector embeddings for input text using a Mistral embedding model.
Categories: Text processing, LLM inference
Use when
- generate embeddings for text to use in semantic search
- convert documents into vectors for similarity comparison
- embed a batch of text passages for a vector database
Not for
- not for generating text responses (see Chat Completion)
Inputs
inputs undocumented
Inputs undocumented: mpp.dev lists no input schema; see the provider's API reference
Endpoint
- Method
POST- URL
https://mistral.mpp.paywithlocus.com/mistral/embed
Payment
- Protocol
- MPP
- Listed price
- 0.008 of asset 0x20c000000000000000000000b9537d11c60e8b50 (6dp) per request on tempo:mainnet
- Payment method
- tempo
- Network
- tempo:mainnet
- Asset
- 0x20c000000000000000000000b9537d11c60e8b50
Listed terms are catalog metadata. The caller supplies inputs and calls the tool outside Onelayer. If payment is required, the caller uses a compatible wallet to pay.
Source
- Directory
- MPP directory
- Record
- mistral POST /mistral/embed
- Retrieved
- 2026-09-30T20:37:07.382Z
- Catalog file SHA-256
6837ccddf886f0007cf3727ea9d27faaa5047b51b4f425345c554ce1c271a524- Catalog built
- 2026-09-30T22:31:58.034Z