# Join Coverage Analytics — Record Quality Audit, Exact Row Deduplication & Adjacent Row Changes

> Join Coverage Analytics — Record Quality Audit, Exact Row Deduplication & 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 2026-10-19).

Runs three local analytical reports (record quality audit, exact row deduplication, adjacent row changes) on supplied join coverage data (matched_rows, source_rows) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-217?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/join-coverage-analytics-record-quality-audit-exact-row-deduplication-50c8cbab
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lUMbsZiciqTGi9fmgKeOs

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 join-coverage-analytics-record-quality-audit-exact-row-deduplication-50c8cbab -d '<json body>'
```

Example prompt: Can you run the three join coverage analytics reports — quality audit, exact deduplication, and adjacent row changes — on my matched_rows data for these records: row-1 on 2026-10-01 in group-a with 10 matched and 1 source, row-2 on 2026-10-02 in group-b with 20 matched and 2 source?

## When to prefer this

Choose this endpoint when you have up to 200 join coverage records with matched_rows and source_rows fields and need three simultaneous analytical passes — quality audit, exact deduplication, and adjacent change detection — in a single low-cost call. It is ideal for pipeline validation steps, weekly coverage hygiene checks, or pre-merge data cleaning where no external lookup, live data, or predictive modeling is needed.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- matched_rows or source_rows values outside ±1,000,000,000,000 range rejected
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause schema validation error
- Invalid field enum value (not 'matched_rows' or 'source_rows') causes parameter error
- Payment of 0.01 USDC not settled — request blocked by x402 paywall

## How this service works

Join coverage — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes for supplied join coverage records (matched_rows, source_rows). 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 join coverage rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) an exact row deduplication report identifying duplicate records; and (3) an adjacent row changes report highlighting value differences between consecutive rows — 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",
     "matched_rows",
     "source_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "matched_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_rows": 1,
     "matched_rows": 10,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_rows": 2,
     "matched_rows": 20,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_rows": 3,
     "matched_rows": 15,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_rows": 4,
     "matched_rows": 30,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "matched_rows",
    "source_rows"
   ],
   "type": "string",
   "default": "matched_rows"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/join-coverage-analytics-record-quality-audit-exact-row-deduplication-50c8cbab/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)