# Sensor Calibration — Numeric Row Ordering + Two-Measure Correlation

> 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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-20-120?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sensor-calibration-numeric-row-ordering-two-measure-correlation-5d62b9fe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pKCzvlJWx-fSXpqv766OE

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability sensor-calibration-numeric-row-ordering-two-measure-correlation-5d62b9fe -d '<json body>'
```

Example prompt: I have 50 calibration records with reference_value and sensor_value columns — can you sort them numerically by reference_value and run a correlation analysis between the two measures to see how well the sensor tracks?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "reference_value",
     "sensor_value"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "sensor_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "station_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "reference_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "sensor_value": 1,
     "station_group": "group-a",
     "reference_value": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "sensor_value": 2,
     "station_group": "group-b",
     "reference_value": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "sensor_value": 3,
     "station_group": "group-a",
     "reference_value": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "sensor_value": 4,
     "station_group": "group-b",
     "reference_value": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "reference_value",
    "sensor_value"
   ],
   "type": "string",
   "default": "reference_value"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sensor-calibration-numeric-row-ordering-two-measure-correlation-5d62b9fe/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)