Embedding Similarity

Measures how semantically similar two strings are: embeds both via Venice (default model: text-embedding-bge-m3) and returns the cosine similarity as a single float in [-1, 1].

Overview

Measures how semantically similar two strings are: embeds both via Venice (default model: text-embedding-bge-m3) and returns the cosine similarity as a single float in [-1, 1]. Useful for paraphrase detection, dedup, and cheap retrieval routing. Use it as an embedding similarity, semantic match, vector compare, or are-these-strings-similar check.

Endpoint

Method	Endpoint	Price	Description
POST	/v1/marketplace/api/embedding-similarity	$0.00575	Invoke Embedding Similarity (General) and return the upstream response.

How to call it

Requests are paid per call over the x402 protocol. Call the endpoint, receive a 402 Payment Required quote, then repeat the request with the signed payment header. The SDKs do both steps for you.

# 1. Ask for a quote
curl -i -X POST https://api.jarvisclaw.ai/v1/marketplace/api/embedding-similarity \
  -H 'Content-Type: application/json' \
  -d '{}'

# 2. Pay it (the SDK signs and retries for you)
curl -X POST https://api.jarvisclaw.ai/v1/marketplace/api/embedding-similarity \
  -H 'Content-Type: application/json' \
  -H 'X-PAYMENT: <signed-payload>' \
  -d '{}'

Open in the marketplace