AgentRXI Rerank is a paid API for AI agents from agentrxi.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-15).
Reranks up to 100 documents by relevance to a query using BGE reranker, returning sorted indices and scores best-first.
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.
An ordered list of results, best-first, each containing the original document index and a relevance score (float). The top_k parameter controls how many results are returned. Agents can use these indices to reorder their original document list.
GEThttps://agentrxi.com/v1/rerank?utm_source=zero.xyzUse this endpoint when you need a fast, pay-per-call reranking step in a RAG or hybrid search pipeline and don't want to self-host a reranker model. Prefer it over embedding-similarity-only ranking when result precision matters more than recall. The BGE reranker is a strong cross-encoder that outperforms cosine similarity for relevance scoring. At $0.003 per call it's cost-effective for up to 100 documents per request.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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