# Join Coverage Duplicate Key Report and Grouped Numeric Summary

> Join Coverage Duplicate Key Report and 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 2026-10-19).

Generates two local analytical reports — a duplicate key report and a grouped numeric summary — for supplied join coverage records with matched_rows and source_rows fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-056?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-duplicate-key-report-and-grouped-numeric-summary-511c5e34
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8UybWVhuna4I-YN8yB_NP

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-duplicate-key-report-and-grouped-numeric-summary-511c5e34 -d '<json body>'
```

Example prompt: Check my join coverage data for duplicate row IDs and give me a grouped numeric summary of matched_rows — here are 4 records: row-1 group-a 2026-10-01 matched_rows=10 source_rows=1, row-2 group-b 2026-10-02 matched_rows=20 source_rows=2, row-3 group-a 2026-10-03 matched_rows=15 source_rows=3, row-4 group-b 2026-10-04 matched_rows=30 source_rows=4.

## When to prefer this

Use this endpoint when you have up to 200 join coverage records with matched_rows and source_rows values and need both a duplicate key check and a grouped numeric breakdown in a single low-cost call. It is best suited for data quality audits of join pipeline outputs where you want to catch repeated row IDs and understand per-group distribution of coverage metrics. Prefer it over general-purpose analytics tools when you want a lightweight, offline analytical pass on structured join data without external dependencies.

## Known failure modes

- Input array is empty or missing — minItems:1 not satisfied
- More than 200 rows supplied — maxItems:200 exceeded
- Row missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- row_id longer than 80 characters — maxLength exceeded
- numeric values outside allowed range (-1e12 to 1e12) — schema error
- Payment not provided or insufficient — x402 payment required response

## How this service works

Join coverage — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary for supplied join coverage records (matched_rows, source_rows). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) a duplicate key report listing any row_ids that appear more than once across the supplied records, and (2) a grouped numeric summary of the selected field (matched_rows or source_rows) aggregated by dataset_group — including statistics such as counts, sums, and averages per group. No external lookups or predictions are made; all computation is performed locally on the supplied data.

## 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-duplicate-key-report-and-grouped-numeric-summary-511c5e34/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)