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Thermal Measurements Declared-Bound Audit
x402
Thermal Measurements Declared-Bound Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010146/call, status unknown (last checked 2026-10-20).
Validates caller-supplied thermal measurement values against declared quantity/unit bounds within a specific dataset/subject/run/method/revision frame, flagging out-of-bound, null, and censored values.
Price / call$0.010146
Success—
StatusUnknown
How this service works
Compare finite measurements with inclusive caller-supplied quantity/unit bounds in the exact dataset/subject/run/method/revision frame; null and censored values are unknown, not zero; thresholds are not clinical or safety limits for thermal export Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a per-measurement audit report indicating whether each thermal value falls within the caller-declared inclusive bounds, along with flags for null values (treated as unknown, not zero), censored values, and out-of-bound readings, all scoped to the specified dataset/subject/run/method/revision frame. No independent certification is provided.
Example use cases
Lab experiment thermal range check
“I have 15 thermal readings from our synthetic lab dataset, revision 4, and I need to confirm each one falls between 5 and 120 degrees Celsius based on my declared bounds — can you audit them and tell me which are out of range, null, or censored?”
Scientific publication data validation
“Before we submit this paper, audit our public thermal measurement records from method run 7 against our declared quantity bounds — flag any values that are missing, censored, or exceed the inclusive limits I'll supply.”
Automated data pipeline QA check
“As part of our data pipeline, audit the latest batch of synthetic thermal sensor readings against the declared unit bounds for our dataset revision 3 — I need to know which measurements are compliant and which are null or out of bounds.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/thermal-measurements/declared-bound-audit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to audit a specific set of thermal measurements against caller-declared inclusive bounds within a precise scientific framing (dataset/subject/run/method/revision), and you want explicit handling of null and censored values as unknowns rather than zeros. Prefer this over generic range-check tools when the audit must be scoped to public or synthetic data classes and non-personal metadata is a compliance requirement.
Side effects
- Missing required 'nonpersonalMetadata: true' field causes rejection
- Bounds array or measurements array exceeding 32 items returns an error
- Mismatched units between measurements and bounds may produce unexpected audit results
- Invalid dataClass value (not 'public' or 'synthetic') causes schema validation failure
- Empty bounds or measurements arrays (below minItems: 1) are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bounds | array | |
| dataClass | string | |
| measurements | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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