AgentUtility Retrieval Rerank is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Reranks a list of candidate documents by semantic relevance to a query using an LLM-based reranking model
Paid x402 endpoints organized into product clusters. USDC-settled on Base. MCP-callable. ERC-8004 identity registry agentId 47167.
A JSON object containing the reranked documents in order of descending relevance score (0-100), each with its original index and score, plus the model name used and the source (Venice). Only the top_k highest-scoring documents are returned.
POSThttps://x402.agentutility.ai/retrieval-rerankUse this endpoint when you have a set of candidate documents retrieved from a vector search or keyword search and need a cross-encoder style reranker to improve precision before passing results to an LLM. Ideal for RAG pipelines where you want to reduce context window usage by keeping only the most relevant top-k chunks. Prefer over embedding-only similarity when query-document relevance requires deeper semantic understanding.
{
"type": "json",
"example": {
"model": "qwen3-5-35b-a3b",
"query": "agent payments",
"top_k": 2,
"ranked": [
{
"score": 95,
"document": "x402 is a payment middleware for AI agents.",
"original_index": 1
},
{
"score": 60,
"document": "Stripe Connect lets you accept payments for an online platform.",
"original_index": 0
}
],
"source": "venice",
"doc_count": 3
}
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