# Null Coverage Analytics: Numeric Distribution + Grouped Numeric Summary

> Null Coverage Analytics: 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 2026-10-16).

Computes a numeric distribution report and a grouped numeric summary for up to 200 rows of null-coverage data (missing_values, total_values) using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-071?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/null-coverage-analytics-numeric-distribution-grouped-numeric-summary-21f58595
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ThN1EJDR4jCXG2gPcEePJ

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 null-coverage-analytics-numeric-distribution-grouped-numeric-summary-21f58595 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and grouped summary on this null coverage data — I've got up to 50 rows each with a row_id, dataset_group, date, missing_values, and total_values, and I want to analyze the missing_values field?

## When to prefer this

Use this endpoint when you have pre-collected null coverage records (rows of missing_values and total_values) and need fast, offline-style statistical summaries — a numeric distribution and a grouped breakdown by dataset_group — without any live data fetching, ML predictions, or external API calls. It is especially suited for lightweight data quality audit workflows where you want two simultaneous analytical views for a low flat cost.

## Known failure modes

- More than 200 rows submitted — only up to 200 rows are supported
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) will cause validation errors
- Invalid date format (must match YYYY-MM-DD) will be rejected
- Values outside the allowed numeric range (±1,000,000,000,000) will be rejected
- Empty rows array will fail minimum item constraint

## How this service works

Null coverage — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary for supplied null coverage records (missing_values, total_values). 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 of the selected field (missing_values or total_values) across up to 200 rows, and (2) a grouped numeric summary broken down by dataset_group — all computed locally with no external lookups or predictions.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-analytics-numeric-distribution-grouped-numeric-summary-21f58595/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)