# Schema Conformity — Two-Measure Correlation + Explicit Missing-Value Fill

> Schema Conformity — Two-Measure Correlation + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).

Computes Pearson correlation between valid_records and checked_records, and fills missing values using a specified strategy (zero, mean, or median) for up to 200 schema conformity rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-184?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-two-measure-correlation-explicit-missing-value-fill-c5354b41
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_38dx_V8418nsOrRv72ZC4

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 schema-conformity-two-measure-correlation-explicit-missing-value-fill-c5354b41 -d '<json body>'
```

Example prompt: Can you run two analytical reports on my schema conformity data — a correlation between valid_records and checked_records, plus fill any missing values in valid_records using median — for these 200 rows from my dataset groups?

## When to prefer this

Choose this endpoint when you need two simultaneous statistical operations on schema conformity data — specifically a bivariate correlation between valid_records and checked_records combined with explicit missing-value imputation — without requiring any external data sources, live lookups, or predictions. Ideal for data quality pipelines where null handling and metric correlation must be reported together for up to 200 rows at minimal cost.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, valid_records, checked_records) in one or more rows
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid fill method enum value (must be zero, mean, or median)
- All values for the target field are null — mean/median imputation undefined
- Payment not processed — x402 payment required at $0.01 USDC

## How this service works

Schema conformity — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). 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) a Pearson correlation coefficient between valid_records and checked_records across supplied rows, and (2) a dataset with missing values in the specified field filled using the chosen strategy (zero, mean, or median). No external lookups or predictions are made; all analysis is performed locally on the supplied data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-two-measure-correlation-explicit-missing-value-fill-c5354b41/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)