# Join Coverage Analytics: Grouped Numeric Summary + Numeric Row Ordering

> Join Coverage Analytics: Grouped Numeric Summary + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Computes grouped numeric summary statistics and numeric row ordering for join coverage data (matched_rows, source_rows) across up to 200 supplied records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-087?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/join-coverage-analytics-grouped-numeric-summary-numeric-row-ordering-1bc911e9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PtQsqdaq1jw-p-y66KArF

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-grouped-numeric-summary-numeric-row-ordering-1bc911e9 -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and row ordering on my join coverage data? I have 4 rows — row-1 through row-4 dated 2026-10-01 to 2026-10-04, with matched_rows of 10, 20, 15, 30 and source_rows of 1, 2, 3, 4 across groups group-a and group-b — and I want the analysis focused on matched_rows.

## When to prefer this

Choose this endpoint when you have join coverage records with matched_rows and source_rows metrics and need both a grouped aggregate summary by dataset_group and a numeric ordering of individual rows in a single call. It is ideal for data engineers auditing ETL join quality, data reconciliation analysts comparing match rates across groups, or any workflow needing two complementary analytical views on join coverage data without any external data enrichment or prediction.

## Known failure modes

- More than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error
- Date field does not match YYYY-MM-DD format — validation error
- Invalid field enum value (must be 'matched_rows' or 'source_rows') — validation error
- Empty rows array — validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Payment not completed via x402 protocol — request not processed

## How this service works

Join coverage — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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 analytical reports: (1) a grouped numeric summary aggregating matched_rows or source_rows statistics by dataset_group, and (2) a numeric row ordering ranking the supplied rows by the chosen field. Both reports are derived entirely from 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-grouped-numeric-summary-numeric-row-ordering-1bc911e9/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)