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Optical Measurements - Schema Directionality
x402
Optical Measurements - Schema Directionality is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035211/call, status unknown (last checked 2026-10-16).
Compares closed export-field optical measurement records to detect directionality patterns in supplied schema data, providing analysis without independent certification.
Price / call$0.035211
Success—
StatusUnknown
How this service works
Compare closed export-field Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a structured analysis comparing the before and after arrays of optical measurement records, identifying directional shifts or inconsistencies in closed export fields. Output is a supplied-record analysis (not independent certification), flagging which fields changed direction, remained consistent, or are misaligned between the two snapshots.
Example use cases
Validate optical schema after data export
“I have a before snapshot of 8 optical measurement schema records and an after snapshot of 6 records, all public data with nonpersonal metadata — can you check whether any closed export fields changed directionality between the two sets?”
Synthetic data directionality audit
“Run a schema directionality comparison on these two batches of synthetic optical measurement records — 10 in the before group and 7 in the after group — and flag any fields that flipped direction or went out of alignment.”
Pre-release schema consistency check
“Before we ship this update, compare our original 4 optical measurement schema records against the 4 revised ones, treating them as public data with nonpersonal metadata, and confirm there are no unexpected directionality changes in the export fields.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/optical-measurements/schema-directionality?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically compare two snapshots of optical measurement schema records to detect directionality changes in closed export fields, particularly when working with public or synthetic data that carries nonpersonal metadata. It is well-suited for pre-release validation, data pipeline audits, or compliance checks where schema field directionality must remain consistent across revisions. Use it over manual inspection when dealing with up to 32 records per snapshot and needing a structured, automated comparison output.
Side effects
- Missing or empty 'before' array (minItems:1 required) returns validation error
- 'after' array exceeding 32 items or 'before' array exceeding 32 items returns schema error
- Invalid 'dataClass' value (must be 'public' or 'synthetic') causes rejection
- nonpersonalMetadata not set to true (const:true) causes request failure
- Payment of 0.035211 USDC not provided results in 402 Payment Required
- Malformed record objects in before/after arrays may result in analysis errors or empty results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean | |
| consumerAllowsExtraFields | boolean |
Tags
x402
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