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Ecology Observations Control Coverage Validator
x402
Ecology Observations Control Coverage Validator is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035162/call, status unknown (last checked 2026-10-16).
Validates that each required control in an ecology observation run/method/revision has exactly one satisfied control declaration, flagging missing, unknown, duplicate, or wrong-frame controls
Price / call$0.035162
Success—
StatusUnknown
How this service works
Require exactly one satisfied control declaration for each required control in an exact run/method/revision; missing, unknown, duplicate or wrong-frame controls cannot pass for ecology observation export Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a condition coverage map indicating whether each required control has exactly one satisfied declaration in the specified run/method/revision, with per-control status flags (satisfied, missing, unknown, duplicate, wrong-frame) and an overall pass/fail result for the ecology observation export.
Example use cases
Pre-export ecology run QC
“Before I export this ecology observation dataset, check run 'ECO-RUN-882' with revision 'r2' and method digest 'md5:f9e2a1' to confirm all required controls ['positive_ctrl','negative_ctrl','blank'] are satisfied with no duplicates or missing frames — data class is synthetic.”
Detecting duplicate control declarations
“I think there might be duplicate control entries in ecology run 'FIELD-OBS-2023-77', revision 'v1', method digest 'sha256:deadbeef'. Can you run a condition coverage check against required controls ['field_blank','trip_blank'] and tell me if any are duplicated or wrong-frame? Data class is public.”
Validating control completeness before regulatory submission
“We're submitting ecology observation run 'ENV-SUBMIT-99' revision 'final' with method digest 'sha256:4f8a2c' for regulatory review — please validate that all 4 required controls ['method_blank','calibration_std','positive','negative'] are accounted for exactly once in the public dataset so we can confirm it passes QC.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/ecology-observations/condition-coverage-map?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to verify that ecology observation run data has complete, non-redundant control coverage before export or regulatory submission. Prefer this over generic data validators when working specifically with ecology observation runs that require exact control declaration matching against a known method/revision. It is a supplied-record analysis tool, not an independent certification service.
Side effects
- Missing required controls result in a non-passing coverage map
- Duplicate control declarations cause validation failure for affected controls
- Wrong-frame controls are flagged and prevent passing status
- Unknown control identifiers are reported as unresolvable
- Invalid or missing runRef/methodDigest/revision returns an error
- Exceeding 32 controls or specifying 0 required controls may cause schema rejection
- nonpersonalMetadata must be set to true or request is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| runRef | string | |
| controls | array | |
| revision | string | |
| dataClass | string | |
| methodDigest | string | |
| requiredControls | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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