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Catalog Intent Rank Lite
x402
Catalog Intent Rank Lite is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Ranks candidate tool names by token overlap with a natural-language query, returning deterministic relevance scores for offline intent-to-SKU routing.
Price / call$0.001
Success—
StatusUnknown
How this service works
Rank candidate tool names by token overlap with a query. Call when routing a natural-language intent to top SKU names offline. Returns ranked tool_name scores as deterministic JSON for $0.001 USDC via x402 on Base. First-party local math only—no RPC, live market feed, API keys, storage, or mediagen. Advisory only; the caller owns capital, risk, and production controls.
Output
Returns a deterministic JSON object containing the candidate tool names ranked and scored by token overlap with the input query, from most to least relevant. No external calls or randomness — output is fully reproducible given the same inputs.
Example use cases
Offline agent tool router
“I'm building an offline agent that needs to pick the right tool from this list: ['basis-points-converter', 'block-time-eta', 'average-entry-price', 'url-health-check']. The user asked 'how long until block 20000000?'. Can you rank these tool names by relevance to that query so I know which one to dispatch to?”
Catalog SKU intent matching
“I have a catalog with these SKU names: ['catalog-intent-rank-lite', 'agent-result-envelope-check', 'delivery-timeout-budget', 'result-freshness-check']. A user typed 'validate my agent's output schema and status'. Rank those SKU names by token overlap with that intent query.”
Natural language to tool disambiguation
“My system has several tools registered: ['black-scholes-delta', 'base-gas-budget-check', 'agent-result-completeness-check', 'average-entry-price']. A user's intent is 'calculate option delta for hedging'. Score and rank those tool names by how closely they match the query so I can route correctly.”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/catalog-intent-rankWhen to prefer
Choose this endpoint when you need a fast, cheap, deterministic, offline-safe method to rank tool or SKU names against a natural language query without requiring API keys, live data feeds, or ML model inference. Ideal for agent routing pipelines that need reproducible results at $0.001 per call, especially when ranking a small set of candidate names without needing semantic embeddings or vector search.
Side effects
- Missing 'query' field returns a validation error
- Empty or null 'candidates' array results in an empty or error response
- Extremely short or stopword-only queries may produce near-zero scores for all candidates
- Payment failure via x402 protocol prevents access
- Very long candidate lists may degrade latency slightly but remain deterministic
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | Natural language intent query |
| candidates | array | Candidate tool_name list |
Output
Schema · Response
{
"type": "json",
"example": {
"ranked": [
{
"score": 1,
"tool_name": "util_kelly_binary"
},
{
"score": 0,
"tool_name": "util_dns_lookup"
},
{
"score": 0,
"tool_name": "util_gwei_to_wei"
}
],
"schema": "delx/util-catalog-intent-rank/v1"
}
}Tags
x402
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