# Schema Conformity: Numeric Distribution + Missing-Value Fill

> Schema Conformity: Numeric Distribution + 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 2026-10-17).

Computes numeric distribution statistics and fills missing values for valid_records and checked_records schema conformity data across up to 200 rows, producing two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-085?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-numeric-distribution-missing-value-fill-7c46aa96
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FQBNB1L74WB553w_i5gj7

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-numeric-distribution-missing-value-fill-7c46aa96 -d '<json body>'
```

Example prompt: Analyze the distribution of valid_records in my schema conformity data and fill any missing values using median imputation — here are my 5 rows: row-1 (group-a, 2026-10-01, valid_records=10, checked_records=1), row-2 (group-b, 2026-10-02, valid_records=20, checked_records=2), row-3 (group-a, 2026-10-03, valid_records=null, checked_records=3), row-4 (group-b, 2026-10-04, valid_records=30, checked_records=4), row-5 (group-a, 2026-10-05, valid_records=15, checked_records=5).

## When to prefer this

Choose this endpoint when you have schema conformity data with valid_records and checked_records fields and need both a numeric distribution analysis and missing-value imputation in a single low-cost call. It is well-suited for data quality pipelines where offline, self-contained statistical analysis suffices and no external data, predictions, or real-time lookups are needed. Prefer this over general analytics tools when you want a bundled two-report output (distribution + fill) for up to 200 rows at a fixed cost of $0.01 USDC.

## Known failure modes

- Fewer than 1 row supplied — request rejected due to minItems constraint
- More than 200 rows submitted — exceeds maxItems limit
- Date values not in YYYY-MM-DD format — pattern validation failure
- row_id missing or empty — required field violation
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid field enum value (not valid_records or checked_records) — validation error
- Invalid method enum value (not zero, mean, or median) — validation error
- Payment of 0.01 USDC not completed — x402 payment required response

## How this service works

Schema conformity — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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 numeric distribution summary of the selected field (valid_records or checked_records) across the supplied rows, including spread and descriptive statistics; and (2) a missing-value fill report where null entries in the selected field are replaced using the chosen method (zero, mean, or median), computed entirely from the supplied data with no external lookups.

## 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-numeric-distribution-missing-value-fill-7c46aa96/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)