# Null Coverage Analytics — Quality Audit, Deduplication & Histogram

> Null Coverage Analytics — Quality Audit, Deduplication & Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).

Runs three local analytical reports on null coverage records (missing_values, total_values): a record quality audit, exact row deduplication, and an equal-width histogram — all in a single call for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-219?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/null-coverage-analytics-quality-audit-deduplication-histogram-a3c35ee1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Sqrma8ovLN1lM5tDsdFB6

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-quality-audit-deduplication-histogram-a3c35ee1 -d '<json body>'
```

Example prompt: Run a full null coverage analysis on my dataset — quality audit, exact duplicate detection, and a 10-bin histogram on the missing_values field — for these rows: row-1 (group-a, 2024-01-01, missing=5, total=100), row-2 (group-b, 2024-01-02, missing=20, total=200), row-3 (group-a, 2024-01-01, missing=5, total=100).

## When to prefer this

Choose this endpoint when you need multiple data quality perspectives on null coverage records in a single cheap call ($0.01 USDC). It is ideal for datasets up to 200 rows where you need simultaneous quality auditing, deduplication, and distribution analysis without external API calls, ML predictions, or live data lookups. Prefer it over separate single-report endpoints when bundling three analytics saves roundtrips.

## Known failure modes

- Input exceeds 200 rows — request rejected with validation error
- Required fields (row_id, date, missing_values, total_values) missing from one or more rows — validation failure
- Date field does not match YYYY-MM-DD pattern — schema validation error
- bins parameter outside 1–30 range — validation error
- Numeric values outside allowed min/max range — rejected
- Empty rows array — minItems:1 constraint violation

## How this service works

Null coverage — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied null coverage records (missing_values, total_values). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging problematic rows, (2) an exact duplicate row detection report identifying repeated records, and (3) an equal-width histogram of the chosen field (missing_values or total_values) across up to 200 input rows — all computed locally without external lookups.

## 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-quality-audit-deduplication-histogram-a3c35ee1/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)