$ man retrieval-rerank
/retrieval-rerank
PRICE / CALL
$0.005
USDC · base mainnet · scheme: exact
METHOD
POST
CLUSTER
wordmintCATEGORY
uncategorized
STATUS
● live
NAME
retrieval-rerank — reranks retrieval results: given a query and up to 30 candidate documents, scores each 0-100 for query relevance using venice qwen3-5-35b…
SYNOPSIS
POST https://x402.agentutility.ai/retrieval-rerank
Content-Type: application/json
X-PAYMENT: <signed-transferWithAuthorization>
{ ... }↳ first call →
402 Payment Required. Sign USDCtransferWithAuthorization, retry with theX-PAYMENT header.DESCRIPTION
Reranks retrieval results: given a query and up to 30 candidate documents, scores each 0-100 for query relevance using Venice qwen3-5-35b-a3b in JSON-mode and returns sorted top-k. Useful as a second-stage reranker on top of cheap vector retrieval. Use it as a RAG reranker, document scoring endpoint, top-k filter, or cross-encoder substitute.
INPUT — request schema
| property | type | description | req? |
|---|---|---|---|
| query | string | Search query. | required |
| documents | array | Candidate documents. Up to 30; each up to 2,000 chars (truncated). | required |
| top_k | number | How many top documents to return. Default min(5, len(documents)). | optional |
OUTPUT — response shape
| field | type | description |
|---|---|---|
| query | string | Echo of the original query string the documents were scored against. |
| ranked | string | Array of {index, score, document} objects sorted by relevance score descending, length up to top_k. |
| doc_count | string | Number of candidate documents submitted in the request before reranking. |
| top_k | string | Number of top-scored documents returned in the ranked array. |
| model | string | Venice model ID used for scoring, typically qwen3-5-35b-a3b in JSON mode. |
| source | string | Upstream provider tag identifying where the reranking inference ran, e.g. 'venice'. |
EXAMPLES — two ways to call
EXAMPLE 1 · curl
curl -X POST https://x402.agentutility.ai/retrieval-rerank \
-H 'Content-Type: application/json' \
-d '{ }'first response =
402 Payment Required with payment requirements; sign + retry with X-PAYMENT.EXAMPLE 2 · mcp
# Install the MCP package for this endpoint's cluster npx -y @agentutility/mcp-<cluster> # Required: EVM private key with USDC on Base export X402_PRIVATE_KEY=0x... # Then call the retrieval-rerank tool from your MCP-aware agent.
MCP server handles payment automatically — your coding agent just calls the tool by name.
METADATA
- tags
- wordmintragrerankerretrievaldocument-scoringtop-kcross-encoder
- methods
- POST
- cluster
- wordmint
- price
- $0.005 USDC per call
ADJACENT — other endpoints in wordmint
| endpoint | description | price |
|---|---|---|
| brand-tagline | Generates brand taglines and slogans for launch pages, X bios, email copy, and product cards. | $0.005 |
| brand-tagline-generate | Generates tagline options for a brand or startup from its name, concept, audience, and tone. | $0.005 |
| card-resolve | Normalizes free-form graded card text into a canonical card object. | $0.005 |
| content-simhash | Fingerprints text with a 64-bit SimHash for near-duplicate detection, computed entirely locally. | $0.005 |
| cron-parse | Cron parser. | $0.005 |
| detect-language | Language detector / language identification. | $0.005 |
| dictionary-define | Looks up English word definitions with pronunciation, part of speech, and synonyms. | $0.005 |
| embedding-similarity | Measures how semantically similar two strings are: embeds both via Venice (default model: text-embedding-bge-m3) and returns the cosine s… | $0.005 |
SEE ALSO