# Null Coverage Analytics — Record Quality Audit, String Normalisation & Duplicate Key Report

> Null Coverage Analytics — Record Quality Audit, String Normalisation & Duplicate Key Report 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 row data: a record quality audit, string normalisation, and duplicate key detection — for up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-192?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-record-quality-audit-string-normalisation-ba706374
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__zC6-kvRbIy_KibEfTBjC

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-record-quality-audit-string-normalisation-ba706374 -d '<json body>'
```

Example prompt: Can you audit these null-coverage records for me — I have about 50 rows with row_id, dataset_group, date, missing_values, and total_values fields — and give me the record quality audit, string normalisation, and duplicate key reports all at once?

## When to prefer this

Choose this endpoint when you need three simultaneous data-quality reports — quality audit, string normalisation, and duplicate key detection — on null-coverage tabular data in a single $0.01 call, without requiring any external data lookups, live predictions, or professional assessments. It is ideal for lightweight, offline-style data quality pipelines processing up to 200 rows at a time.

## Known failure modes

- More than 200 rows submitted — exceeds the per-call row limit
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) causing schema validation failure
- Invalid date format (must match YYYY-MM-DD pattern)
- row_id exceeds 80-character maxLength limit
- Payment not provided or insufficient USDC balance (x402 payment failure)
- Empty rows array (minItems: 1 not satisfied)

## How this service works

Null coverage — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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 for the supplied rows: (1) a record quality audit summarising data health metrics around missing and total values, (2) a string normalisation report cleaning and standardising text fields such as row_id and dataset_group, and (3) a duplicate key report identifying any repeated row identifiers — all computed locally with no external lookups.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-analytics-record-quality-audit-string-normalisation-ba706374/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)