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Optical Measurements Source Coverage Map
x402
Optical Measurements Source Coverage Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035207/call, status unknown (last checked 2026-10-16).
Binds optical measurement records to owner, subject, revision, content, and source frames to produce a coverage map over supplied record sets
Price / call$0.035207
Success—
StatusUnknown
How this service works
Bind record references to an exact owner/subject/revision/content/source frame; hash-shaped strings are declarations, not independently verified source bytes for optical geometry/calibration/lot/method-pinned Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a coverage map indicating which records are bound to source, owner, subject, revision, and content frames, along with any gaps or unresolved bindings across the supplied rows and source references.
Example use cases
Auditing optical calibration record provenance
“I have 20 optical calibration records and I need to know which ones are properly bound to source and revision frames — can you run a source coverage map on them with public data class and nonpersonalMetadata set to true?”
Quality-checking synthetic optical geometry data
“Before I publish this synthetic optical geometry dataset, check the source coverage for all 15 rows to make sure every record has a proper owner and source frame binding — mark it as synthetic data class.”
Identifying missing source metadata in optical dataset
“Can you analyze these 8 optical measurement records and flag which ones are missing source coverage? Use public data class and confirm there's no personal metadata involved.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/optical-measurements/source-coverage-map?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to audit or map source coverage across optical measurement records — specifically to determine which records are properly bound to owner, revision, content, and source frames. It is suited for data quality control workflows on optical geometry, calibration, or lot-method-pinned datasets where provenance tracking is needed, particularly for public or synthetic (non-personal) data.
Side effects
- Missing required rows or sources arrays returns validation error
- More than 32 rows or sources supplied exceeds maxItems constraint
- dataClass not set to 'public' or 'synthetic' returns enum validation error
- nonpersonalMetadata not set to true (const constraint) causes rejection
- Malformed row or source references may result in empty or partial coverage output
- Payment failure or insufficient USDC balance blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| sources | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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