# Null Coverage Analytics: Numeric Row Ordering + Equal-Width Histogram

> Null Coverage Analytics: Numeric Row Ordering + Equal-Width Histogram 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 user-supplied null coverage records (missing_values, total_values) by producing two local reports: a numeric row ordering and an equal-width histogram, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-118?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/null-coverage-analytics-numeric-row-ordering-equal-width-histogram-dfd01e3f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Q5mXFj1dPZ4eQrm3MNlFT

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-row-ordering-equal-width-histogram-dfd01e3f -d '<json body>'
```

Example prompt: Can you run a null coverage analysis on my dataset — sort the rows by missing_values and also give me an equal-width histogram with 10 bins? I have 4 rows: row-1 (group-a, 2026-10-01, 10 missing out of 100), row-2 (group-b, 2026-10-02, 20 missing out of 200), row-3 (group-a, 2026-10-03, 15 missing out of 150), row-4 (group-b, 2026-10-04, 30 missing out of 300).

## When to prefer this

Choose this endpoint when you have up to 200 records with null coverage metrics (missing_values, total_values) and need both a sorted row ordering and a histogram distribution in a single low-cost call. Ideal for lightweight data quality profiling, ETL monitoring, or dataset completeness audits where no external data, predictions, or professional assessments are needed.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- bins parameter outside 1–30 range — validation error
- null or missing row_id — validation error
- field value not one of 'missing_values' or 'total_values' — validation error
- Payment of 0.01 USDC not received — 402 response

## How this service works

Null coverage — Numeric row ordering + Equal-width histogram: Numeric row ordering + Equal-width histogram 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 independent analytical reports computed locally: (1) a numeric row ordering of the selected field (missing_values or total_values) across the submitted rows, and (2) an equal-width histogram dividing the field's value range into the requested number of bins with counts per bin. No external lookups or predictions are made.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-row-ordering-equal-width-histogram-dfd01e3f/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)