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Vektorwerk Similarity Scoring
x402
Vektorwerk Similarity Scoring is a paid API for AI agents from vektor.netzhandwerker.de, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Embeds a query and up to 64 candidate texts 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 ranked list of candidates ordered by descending cosine similarity score, including the numeric cosine score and stable integer rank for each candidate, computed from locally-run embeddings using the selected model (nomic or bge_m3).
Example use cases
FAQ answer reranking for support bot
“I have a user question 'What is your return policy?' and 10 candidate FAQ entries — rank all 10 by semantic similarity to the question using the nomic model so I can show the best match first.”
RAG chunk selection before LLM call
“Before I send anything to the LLM, score these 64 document chunks against my query 'explain compound interest' and give me the cosine scores so I can pick the top 3 most relevant ones.”
Semantic deduplication across short phrases
“I have one reference phrase 'machine learning model training' and 20 candidate phrases — rank them by similarity so I can spot near-duplicates and collapse redundant entries.”
Technical details
Endpoint
POSThttps://vektor.netzhandwerker.de/similarityWhen to prefer
Prefer this endpoint when you need fast, local semantic similarity scoring with stable ranks across up to 64 candidates per query — especially useful for RAG reranking, FAQ matching, or deduplication pipelines where you want cosine scores rather than just ordering. Choose this over cloud embedding APIs when latency, privacy, or per-token cost is a concern, and when nomic or bge_m3 embedding quality is sufficient for your use case.
Side effects
- More than 64 candidates submitted — request rejected with validation error
- Empty candidates array — rejected due to minItems:1 constraint
- Invalid model value outside the enum [nomic, bge_m3] — returns error
- Query or candidates too long for the model's context window — truncation or error
- Local Ollama runtime unavailable — service returns 500 or timeout
- Payment not provided or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | |
| query | string | |
| candidates | array |
Tags
x402
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