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BGE Document Reranker (Agent Hub)
x402
BGE Document Reranker (Agent Hub) is a paid API for AI agents from agents.torbrooknews.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).
Reranks up to 100 documents by relevance to a query using a BGE reranker model, returning sorted indices and scores for use in RAG and search pipelines.
Price / call$0.002
Success—
StatusUnknown
How this service works
Rerank up to 100 documents by relevance to a query (BGE reranker). Returns indices and scores, best first. Drop-in step for RAG and search pipelines. Also callable as GET with the same fields as query parameters.
Output
Returns a list of objects sorted best-first, each containing the original document index and a relevance score indicating how well that document matches the query. Optionally limited to top_k results.
Example use cases
RAG pipeline retrieval refinement
“I retrieved 20 chunks from my vector database for the query 'how does photosynthesis work' — can you rerank them by relevance and return only the top 5 so I pass the best context to my LLM?”
Search result reordering
“I have these 10 product descriptions from a keyword search for 'waterproof hiking boots' and want them sorted by how well they actually match that query — rerank them and show me the scores.”
Q&A candidate passage selection
“Given the question 'What caused the 2008 financial crisis?', rerank these 8 passages from different articles and tell me which ones are most relevant so I know which to include in my answer.”
Technical details
Endpoint
GEThttps://agents.torbrooknews.com/v1/rerank?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call BGE reranking step without managing an API key or infrastructure — ideal for augmenting RAG pipelines, search result reordering, or passage selection where semantic relevance scoring is needed. Prefer it over embedding-based similarity when cross-encoder reranking quality is required and you want simple GET-based integration.
Side effects
- Missing required 'query' or 'documents' query parameters returns a 400 error
- Documents list exceeds 100 items may be rejected or truncated
- Payment not provided or insufficient (x402 payment required) returns a 402 error
- Malformed document separator (not using '|') may cause parsing errors
- Empty document list returns an error or empty result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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