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Optical Measurements - Condition Coverage Map
x402
Optical Measurements - Condition Coverage Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.03521/call, status unknown (last checked 2026-10-16).
Validates up to 32 declared optical power readings (incident, transmitted, or reflected) in integer microwatts against matching geometry, band, and calibration references to assess condition coverage.
Price / call$0.03521
Success—
StatusUnknown
How this service works
Audit at most 32 declared incident/transmitted/reflected power readings in integer microwatts, requiring matching geometry, band and calibration Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
A condition coverage map indicating which of the declared optical power reading conditions (incident, transmitted, reflected) are covered, validated against the supplied geometry, band, calibration digest, and tolerance constraints; flags mismatches or gaps in coverage across the submitted rows.
Example use cases
NIR sensor calibration audit
“I have 20 declared incident and reflected power readings in microwatts for our NIR sensor batch, all public data, using band reference 'NIR-940nm', geometry reference 'collimated-45deg', calibration digest 'sha256:def456', material lot 'MLT-2024-07', and a tolerance of 250 PPM. Can you run condition coverage validation on them?”
Transmitted power coverage check
“Check condition coverage for these 8 transmitted optical power readings — synthetic data class, band reference 'VIS-532nm', geometry reference 'integrating-sphere', dataset reference 'DS-OPT-0042', calibration digest 'sha256:xyz789', revision 'v2.1', tolerance 1000 PPM — and tell me if all conditions are covered.”
Pre-submission measurement validation
“Before we submit our optical measurement records, please audit all 32 of our declared power readings for condition coverage using band reference 'SWIR-1550nm', geometry reference 'fiber-coupled', calibration digest 'sha256:ghi321', material lot 'MLT-2024-12', public data class, and tolerance set to 100 PPM.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/optical-measurements/condition-coverage-map?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically audit declared optical power readings (incident, transmitted, or reflected, in integer microwatts) against specific geometry, band, and calibration references for condition coverage completeness. It is designed for supplied-record analysis rather than independent certification, making it suitable for pre-submission checks, batch QA on sensor data, or internal audit workflows. Prefer this over general data validation services when the domain is specifically optical/photonic measurements and you need calibration-digest and geometry-aware coverage mapping.
Side effects
- Too many rows supplied (exceeds maxItems of 32) — request rejected
- Missing required geometry or band reference — validation cannot proceed
- Calibration digest mismatch — readings cannot be verified against supplied calibration
- Tolerance PPM out of range (must be 0–10000) — parameter error
- dataClass not set to 'public' or 'synthetic' — enum validation failure
- nonpersonalMetadata not set to true — request rejected
- Mismatched revision between rows and revision field — inconsistency error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| bandRef | string | |
| revision | string | |
| dataClass | string | |
| datasetRef | string | |
| opticalRef | string | |
| geometryRef | string | |
| methodDigest | string | |
| tolerancePpm | integer | |
| materialLotRef | string | |
| calibrationDigest | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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