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Thermal Measurements - Required Field Coverage Check
x402
Thermal Measurements - Required Field Coverage Check is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010145/call, status unknown (last checked 2026-10-16).
Checks a supplied set of thermal measurement records to identify which required fields (dataset, method, revision, content pins) are present or missing, returning null for absent fields rather than error.
Price / call$0.010145
Success—
StatusUnknown
How this service works
Check presence of required scientific dataset/method/revision/content pins; null is missing, not an invalid credential or artifact for thermal lot/method/revision-pinned export Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a coverage report per row indicating which required fields are present and which are null/missing, without treating missing values as authentication failures or invalid artifacts. Null means absent, not invalid.
Example use cases
Pre-export thermal record audit
“Before we export this batch of 20 synthetic thermal measurement records, check whether the required fields 'method', 'revision', and 'content' are all present — flag any rows where those pins are null.”
Scientific dataset completeness check
“I have a set of public thermal lot records and I need to know if the required fields 'dataset', 'lot', and 'revision' are populated across all rows — can you check field coverage and tell me what's missing?”
Automated QA before data pipeline ingestion
“Run a required-field coverage check on these 15 thermal measurement rows marked as synthetic data, checking for presence of 'method', 'content', and 'lot' pins, so we can catch any nulls before they hit the pipeline.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/thermal-measurements/required-field-coverage?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to audit a supplied batch of thermal measurement records for required field presence (dataset, method, revision, content pins) before export or downstream processing. It is a record-supplied analysis tool — it does not independently certify data or validate credentials. Choose it over generic schema validators when you specifically need pin-level field coverage reporting for thermal scientific datasets with public or synthetic data classifications.
Side effects
- rows array empty or exceeds 32-item limit — validation error
- requiredFields array exceeds 8 items — schema rejection
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- nonpersonalMetadata not set to true (const) — request rejected
- malformed row objects that cannot be parsed — partial or full failure response
- payment not included or insufficient — 402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| requiredFields | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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