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Ceramic Measurements - Reference Integrity Map
x402
Ceramic Measurements - Reference Integrity Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035197/call, status unknown (last checked 2026-11-04).
Binds ceramic measurement rows to a specific supplied dataset, material lot, and revision, verifying referential integrity against the provided record rather than performing independent certification.
Price / call$0.035197
Success—
StatusUnknown
How this service works
Bind measurement rows to the exact supplied dataset/material/lot/revision/content Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
A reference integrity map indicating which measurement rows are correctly bound to the supplied dataset, material lot, revision, and content identifiers, along with any rows that fail to match the declared record — returned as a supplied-record analysis, not an independent certification.
Example use cases
Pre-submission lot binding audit
“We have 20 ceramic measurement rows from our latest kiln batch and three lot IDs — can you verify that each row is correctly bound to its corresponding lot before we finalize the submission? Data class is public and all metadata is nonpersonal.”
Revision mismatch detection in ceramic data
“I need to check whether these 15 ceramic measurement records actually reference the correct dataset revision we declared — run a reference integrity map against the supplied lot and revision identifiers, data class is synthetic.”
Quality gate for ceramic batch records
“Before we archive this ceramic batch, can you bind these 30 measurement rows to the material lots we supplied and flag any rows that don't match the declared dataset and revision? All data is public and nonpersonal.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/ceramic-measurements/reference-integrity-map?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to verify that ceramic measurement rows are correctly bound to a specific supplied dataset, lot, revision, or content record — especially before archiving, submitting, or auditing a ceramic data batch. Prefer this over provenance or duplicate endpoints when the primary concern is referential binding (row-to-record association) rather than provenance chain integrity or duplicate detection.
Side effects
- Rows array empty or exceeds 32-item limit — validation error
- Lots array empty or exceeds 32-item limit — validation error
- dataClass not one of 'public' or 'synthetic' — schema rejection
- nonpersonalMetadata not explicitly true — request rejected
- Row identifiers do not correspond to any supplied lot — binding failure flagged in output
- Malformed input JSON — parsing error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| lots | array | |
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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