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Sensor Calibration — Numeric Row Ordering + Two-Measure Correlation
x402
Sensor Calibration — Numeric Row Ordering + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Sorts sensor calibration rows by a numeric field and computes correlation between reference_value and sensor_value for up to 200 records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sensor calibration — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied sensor calibration records (reference_value, sensor_value). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) the input rows sorted numerically by the chosen field (reference_value or sensor_value), and (2) a correlation analysis between reference_value and sensor_value, computed locally with no external lookups.
Example use cases
Lab sensor drift assessment
“I've got 120 calibration rows from our temperature sensors with reference_value from the calibrated standard and sensor_value from the device under test — sort them by reference_value and give me the correlation between the two so I can see where the sensor drifts.”
Multi-station calibration audit
“We have readings from two station groups collected over the past month — can you order all 80 rows by sensor_value and compute the correlation between sensor_value and reference_value so we can compare performance across groups?”
Quality control for pressure sensors
“Here are 40 pressure sensor calibration records with row IDs, dates, and both reference and sensor readings — please rank them numerically by reference_value and tell me the two-measure correlation to check if calibration is within acceptable range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-20-120?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric sort and a two-measure correlation on sensor calibration data (reference vs sensor readings) in a single call for up to 200 rows, without requiring external data enrichment, live lookup, or prediction. It is ideal for offline calibration audits, QA workflows, and batch statistical checks on paired measurement data.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, reference_value, sensor_value, date, station_group) cause validation errors
- Null values in both measure columns may degrade or prevent correlation computation
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- Empty rows array (minItems: 1 not met) will be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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