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Planetary Measurements Scope Boundary Audit
x402
Planetary Measurements Scope Boundary Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.038331/call, status unknown (last checked 2026-10-16).
Validates that planetary measurement records match declared owner, subject, revision, and allowed scope labels, enforcing strict boundary constraints without granting any access or certification.
Price / call$0.038331
Success—
StatusUnknown
How this service works
Enforce exact declared owner, subject, revision and allowed scope labels; a matching label grants no permission or access for target/site/convention/time/method-pinned planetary Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a structured audit report indicating whether each submitted measurement row matches the declared owner reference, subject reference, revision, data class, and allowed scope labels. Identifies any rows that violate scope boundaries, flags mismatches, and confirms whether nonpersonal metadata constraints are satisfied. Does not grant permission or access; provides compliance status only.
Example use cases
Mars data scope compliance check
“I have 10 planetary measurement records for owner 'planetary-lab-7', subject 'Mars-orbit-data', revision 'v2', dataClass 'public', allowed scopes ['academic','review'] — can you audit them to confirm they all stay within the declared scope boundaries and that nonpersonal metadata is set?”
Synthetic celestial record revision audit
“Run a scope boundary audit on these 8 synthetic planetary measurement rows for owner 'cosmo-research', subject 'Jupiter-atmosphere', revision 'v5', with allowed scopes ['internal','synthetic-review'], and flag any rows that violate the scope constraints.”
Multi-scope label enforcement for planetary dataset
“Validate this batch of 15 planetary data rows against owner 'stellar-ops', subject 'Venus-surface', revision 'v1', dataClass 'public', and allowed scopes ['monitoring','public-release'] — I need to know which records pass the scope boundary audit and which don't.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/celestial/planetary-measurements/scope-boundary-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need strict, auditable enforcement of declared scope labels on planetary or celestial measurement records — specifically when owner, subject, revision, and allowed scope boundaries must all be validated simultaneously against a batch of rows. Prefer this over general-purpose validators when the data is explicitly classified as public or synthetic nonpersonal planetary measurements and you need a structured compliance report rather than independent certification.
Side effects
- rows array empty or exceeds 32 items — validation error
- nonpersonalMetadata not set to true — schema rejection
- allowedScopes array empty or exceeds 16 items — input error
- ownerRef or subjectRef missing — required field error
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- revision string absent — missing required field error
- Malformed row data causing processing failure — internal error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| ownerRef | string | |
| revision | string | |
| dataClass | string | |
| subjectRef | string | |
| allowedScopes | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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