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Agent Search Normalization Decision Procedure
x402
Agent Search Normalization Decision Procedure is a paid API for AI agents from k2so.grok.me, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Provides a decision procedure for AI agents to merge, deduplicate, and normalize search results from multiple heterogeneous paid and free sources into one canonical result set
Price / call$0.002
Success—
StatusUnknown
How this service works
Decision procedure for agents merging search results from multiple paid and free sources (mpp catalog, x402 endpoints, web APIs) into one canonical result set. Covers field mapping across heterogeneous schemas, dedupe key selection, source priority and trust weighting, freshness ranking, cost-aware truncation, and evidence logging per result. Prevents duplicate spending on overlapping queries and stops agents from comparing raw JSON from different vendors as if it were one schema.
Output
Returns a structured decision procedure document covering: field mapping rules for heterogeneous vendor schemas, dedupe key selection logic, source priority and trust weighting guidelines, freshness-based ranking methodology, cost-aware result truncation strategy, and evidence logging requirements per result entry — all formatted as actionable agent-executable guidance.
Example use cases
Merging paid and free search results
“I'm combining results from an x402 paid search endpoint and a free web API and I keep getting duplicate entries with different field names. Walk me through the procedure for mapping their schemas to a single canonical format, picking dedupe keys, and making sure I don't charge the user twice for the same underlying result.”
Cost-aware truncation for multi-source queries
“My agent is hitting three search sources and the combined result set is too large. Give me the procedure for truncating it cost-efficiently — I want to drop the cheapest-to-recover duplicates first and keep the highest-trust, freshest results, with evidence logged per result.”
Source trust weighting for agent search pipeline
“I'm building a search pipeline that pulls from an mpp catalog, a couple of x402 endpoints, and some free REST APIs simultaneously. How should I weight trust across those sources and prioritize which source's version of a duplicate result to keep in the final canonical set?”
Technical details
Endpoint
GEThttps://k2so.grok.me/api/services/search-normalization-procedureWhen to prefer
Choose this endpoint when an AI agent is orchestrating search across multiple heterogeneous paid and free sources (mpp catalog, x402 endpoints, public web APIs) and needs a single authoritative procedure for schema normalization, deduplication, trust weighting, and cost-aware merging. Prefer this over ad-hoc field mapping when duplicate spending risk is present or when evidence logging per result is required for auditability. Not appropriate for single-source search normalization or for endpoints that already return a unified schema.
Side effects
- Payment not submitted or rejected — endpoint requires $0.002 USDC x402 payment; unpaid requests return 402 with payment details
- Schema input omitted — procedure may be generic if specific vendor schemas are not provided in context
- Stale procedure — the returned decision logic may not reflect the latest vendor schema changes if not refreshed
- Empty or malformed response body — 5xx or timeout should trigger the paid delivery failure remedy procedure sibling endpoint
- Meta parameter misused — setting meta=1 returns free metadata JSON only, not the full paid decision procedure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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