# Join Coverage Analytics: Record Quality Audit + Exact Row Deduplication + Grouped Numeric Summary

> Join Coverage Analytics: Record Quality Audit + Exact Row Deduplication + Grouped Numeric Summary 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).

Runs three local analytical reports on join coverage data (matched_rows, source_rows): a record quality audit, exact row deduplication, and grouped numeric summary — all in a single call for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-211?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/join-coverage-analytics-record-quality-audit-exact-row-deduplication-8a0f52bf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ih43lGs7bV_cGRplDLqS_

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-8a0f52bf -d '<json body>'
```

Example prompt: I have a list of up to 200 join coverage records with row_id, dataset_group, date, matched_rows, and source_rows — can you run a record quality audit, exact row deduplication, and a grouped numeric summary on them, focusing on the matched_rows field?

## When to prefer this

Choose this endpoint when you need all three analytical operations — record quality audit, exact deduplication, and grouped numeric summary — applied to join coverage data in a single low-cost call. It is ideal for ETL validation workflows where you want to check data completeness, remove duplicates, and summarize join metrics by group before downstream reporting. Prefer it over separate single-purpose tools when your dataset fits within 200 rows and you want bundled analytics at a fixed cost of $0.01 USDC.

## Known failure modes

- Fewer than 1 row supplied — minimum of 1 row required
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) causes validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected
- Invalid field enum value (must be 'matched_rows' or 'source_rows')

## How this service works

Join coverage — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary 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 reports in a single response: (1) a record quality audit flagging issues like missing or out-of-range values in the supplied rows, (2) an exact row deduplication report identifying and removing duplicate records, and (3) a grouped numeric summary (e.g. count, sum, mean) of the selected numeric field (matched_rows or source_rows) broken down by dataset_group. All analysis is performed locally on the supplied 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",
     "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-8a0f52bf/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)