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Ecology Observations Scope Boundary Audit
x402
Ecology Observations Scope Boundary Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.038315/call, status unknown (last checked 2026-10-20).
Validates ecology observation records against declared owner, subject, revision, and allowed scope labels to audit boundary compliance without granting access or certifying data.
Price / call$0.038315
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 public dataset/observation/event/taxon/method Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns an analysis of each supplied ecology observation row against the declared owner reference, subject reference, revision, data class, and allowed scope labels — identifying which rows have non-compliant or out-of-boundary scope labels, without granting any access to underlying datasets or independently certifying the data.
Example use cases
Public dataset scope compliance check
“I have 20 ecology observation records tagged as 'public' data class — can you audit them against owner ref 'env-agency-7', subject ref 'river-monitoring-Q1', revision 'r2', and allowed scopes ['local','regional'] to see which rows fall outside the declared scope boundaries? All metadata is nonpersonal.”
Synthetic ecology data boundary audit
“Run a scope boundary audit on these 15 synthetic ecology records for owner 'research-lab-beta', subject 'forest-canopy-study', revision 'v1', with allowed scopes ['experimental','internal'] — I need to know which records have labels that aren't permitted, treating the metadata as nonpersonal.”
Pre-publication scope validation
“Before we publish this ecology observation dataset, audit all 30 rows against declared owner 'national-park-service', subject 'species-count-2023', revision 'final-v4', data class 'public', and allowed scopes ['public','archived'] — flag anything that doesn't match. Nonpersonal metadata only.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/ecology-observations/scope-boundary-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically audit ecology observation records for scope label compliance against declared ownership and revision metadata, particularly for public or synthetic datasets where governance boundaries must be enforced before downstream use. Prefer this over general data validation tools when the domain is ecological observation data and scope boundary enforcement (not data quality or content analysis) is the primary concern.
Side effects
- Missing required ownerRef or subjectRef fields returns a validation error
- rows array empty or exceeding 32 items rejected with constraint violation
- nonpersonalMetadata must be explicitly set to true or request is rejected
- dataClass must be exactly 'public' or 'synthetic' — other values cause enum rejection
- allowedScopes array exceeding 16 items triggers constraint error
- Malformed revision string may cause unmatched audit results
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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