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Procurement Notices - Export Semantic Parity
x402
Procurement Notices - Export Semantic Parity is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.039335/call, status unknown (last checked 2026-10-16).
Compares two sets of parsed procurement notice record projections for semantic parity, preserving all buyer/notice/kind/jurisdiction/revision pins while ignoring record order.
Price / call$0.039335
Success—
StatusUnknown
How this service works
Compare parsed typed record projections, preserving all pins and scope while ignoring order; not raw-byte equality or proof of the underlying artifact for buyer/notice/kind/jurisdiction/revision-pinned procurement Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a semantic parity assessment indicating whether the before and after procurement notice record projections are equivalent when order is ignored, with details on whether all typed pins (buyer, notice kind, jurisdiction, revision) are preserved. Does not perform raw-byte comparison or certify the underlying procurement artifacts.
Example use cases
Procurement export regression check
“I just re-exported our public procurement notices after a pipeline change. Can you compare the original 28 records to the new 28 and confirm they're semantically identical, with all buyer and jurisdiction pins intact, even if the order shifted?”
Jurisdiction pin integrity audit
“We have two versions of a procurement notice dataset — the before set with 15 records and the after set with 15 records — and I need to verify that all jurisdiction and revision pins are preserved and the records are semantically equivalent across both versions, using public data class.”
Synthetic data parity verification
“We generated a synthetic version of a procurement notice record set for testing. Can you run a semantic parity check between the original 10 records and the synthetic 10 records, confirming all notice kind and buyer pins are preserved, with synthetic data class and nonpersonal metadata set to true?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/procurement-notices/export-semantic-parity?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to verify semantic equivalence between two versions of a procurement notice record set while preserving all pinned fields (buyer, notice kind, jurisdiction, revision) and ignoring record ordering. Prefer it over raw-byte comparison tools when structural reordering is expected but semantic content must remain identical. It is not a certification service for underlying procurement artifacts.
Side effects
- Input arrays exceed 32-item limit causing validation error
- dataClass not set to 'public' or 'synthetic' causing rejection
- nonpersonalMetadata not set to boolean true causing request failure
- Mismatched pin structures causing ambiguous parity result
- Empty or malformed record projections returning inconclusive comparison
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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