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Vektorwerk Similarity Scorer
x402
Vektorwerk Similarity Scorer is a paid API for AI agents from vektor.halowerk.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Embeds a query and up to 64 candidate strings locally, then returns cosine similarity scores and stable descending ranks for each candidate.
Price / call$0.001
Success—
StatusUnknown
How this service works
Embeds one query and up to 64 candidates locally, then returns cosine scores and stable descending ranks.
Output
Returns a list of candidate strings paired with their cosine similarity scores relative to the query, sorted in stable descending order by score, so the most semantically relevant candidate appears first.
Example use cases
FAQ routing for support chatbot
“I have a user question 'why was I charged twice?' and a list of 20 FAQ entries — can you rank those FAQ entries by how closely they match the question using the bge_m3 model so I can surface the top answer?”
Semantic product search reranking
“I've retrieved 30 product titles from my catalog and I want to rank them by how relevant they are to the search query 'lightweight running shoes for hot weather' — use the nomic model to score and rank them for me.”
Best-match candidate selection for RAG
“I have a query 'what are the side effects of ibuprofen?' and 15 document chunks — score each chunk by cosine similarity to the query using the nomic model so I can pick the top 3 to pass to the language model.”
Technical details
Endpoint
POSThttps://vektor.halowerk.com/similarityWhen to prefer
Prefer this endpoint when you need fast, local semantic similarity scoring or reranking of up to 64 candidates against a single query without relying on a third-party cloud embedding provider. Ideal for RAG pipelines needing a cheap ($0.001/call) reranking step, FAQ matching, or any scenario where cosine similarity over a small fixed candidate set is sufficient and data privacy or latency matters.
Side effects
- More than 64 candidates provided — API rejects with validation error
- Empty candidates array (below minItems of 1) — validation error returned
- Invalid model name outside 'nomic' or 'bge_m3' enum — request rejected
- Query string is empty or missing — request fails validation
- Service unavailable or local Ollama runtime down — connection error or 5xx response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | |
| query | string | |
| candidates | array |
Tags
x402
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