# Null Coverage Analytics — Record Quality Audit, Exact Row Deduplication, and Adjacent Row Changes

> Null Coverage Analytics — Record Quality Audit, Exact Row Deduplication, and Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).

Runs three local analytical reports (record quality audit, exact row deduplication, and adjacent row changes) on supplied null-coverage data rows containing missing and total value counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-217?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/null-coverage-analytics-record-quality-audit-exact-row-deduplication-7bf08c1b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_t5y6-HAbLIpA0CKgP_lvf

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-exact-row-deduplication-7bf08c1b -d '<json body>'
```

Example prompt: I have up to 200 rows of null coverage records — each with a row_id, dataset_group, date, missing_values, and total_values — and I need three reports at once: a record quality audit, exact duplicate detection, and adjacent row change analysis, focusing on the missing_values field.

## When to prefer this

Choose this endpoint when you need three data quality analyses in a single paid call — quality audit, deduplication, and adjacent-row change detection — on null coverage records (missing/total value pairs). It is best suited for offline or batch analytical workflows on already-collected data, not for real-time monitoring or external data enrichment. Prefer this over single-report endpoints when you need all three report types simultaneously to minimize cost and round-trips.

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied — request rejected
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field selector (not 'missing_values' or 'total_values') — enum validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation failure
- Payment not provided or insufficient — x402 payment required response

## How this service works

Null coverage — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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

Three independent analytical reports returned together: (1) a record quality audit summarizing completeness and integrity issues across the supplied rows, (2) an exact row deduplication report identifying identical records, and (3) an adjacent row changes report showing value shifts between consecutive rows — all computed locally on the submitted 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",
     "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-record-quality-audit-exact-row-deduplication-7bf08c1b/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)