# Schema Conformity Numeric Distribution & Grouped Numeric Summary

> Schema Conformity Numeric Distribution & Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Analyzes schema conformity records (valid_records, checked_records) to produce a numeric distribution report and a grouped numeric summary report for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-071?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-numeric-distribution-grouped-numeric-summary-6e74b7c4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WtATyV8P2rZl3vrNpc_z1

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-grouped-numeric-summary-6e74b7c4 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and grouped numeric summary on my schema conformity data? I have rows with dataset groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyze the valid_records field across up to 200 rows.

## When to prefer this

Choose this endpoint when you have a batch of up to 200 schema conformity records (with valid_records and checked_records fields) and need both a distribution analysis and a grouped summary in a single low-cost call ($0.01 USDC). Ideal for data quality monitoring pipelines where you want to understand how valid records are distributed and how they vary across dataset groups, without needing external data lookups or predictive analytics.

## Known failure modes

- Rows array empty or missing — validation error returned
- More than 200 rows supplied — request rejected at maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value outside allowed numeric range (±1 trillion) — rejected
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — schema error
- Invalid field selector (not 'valid_records' or 'checked_records') — enum validation error

## How this service works

Schema conformity — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary 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 breakdown of the selected field (valid_records or checked_records) across all supplied rows, and (2) a grouped numeric summary of the same field partitioned by dataset_group — both computed locally against 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-numeric-distribution-grouped-numeric-summary-6e74b7c4/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)