# Join Coverage Analytics: Grouped Numeric Summary + Two-Measure Correlation

> Join Coverage Analytics: Grouped Numeric Summary + Two-Measure Correlation 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).

Computes a grouped numeric summary and a two-measure correlation report for join coverage data (matched_rows, source_rows) across up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-095?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-grouped-numeric-summary-two-measure-correlation-4ceae5d6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_93A-DmlSwvhcRqw38_l7o

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-two-measure-correlation-4ceae5d6 -d '<json body>'
```

Example prompt: I have join coverage records for two groups — 'group-a' and 'group-b' — with matched_rows and source_rows measured daily from 2026-10-01 to 2026-10-04. Can you run a grouped numeric summary and a two-measure correlation report on the matched_rows field for me?

## When to prefer this

Use this endpoint when you have pre-collected join coverage records (matched_rows, source_rows) and need both a grouped statistical summary and a correlation analysis in a single low-cost call. Ideal for data engineering teams reviewing ETL pipeline join quality across multiple dataset groups without needing live data fetching, predictions, or external integrations. Prefer over general analytics platforms when you need a quick, deterministic, self-contained computation on up to 200 rows for $0.01.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit
- Null values in both numeric fields may produce degenerate correlation results
- Invalid field enum value (not 'matched_rows' or 'source_rows') causes rejection
- Empty rows array fails minItems validation

## How this service works

Join coverage — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation 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 grouped numeric summary breaking down statistics for the chosen measure (matched_rows or source_rows) across dataset_group categories, and (2) a two-measure correlation report quantifying the relationship between matched_rows and source_rows across the supplied rows. No external data is fetched; all analysis is performed locally on the provided input.

## 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-two-measure-correlation-4ceae5d6/health.json
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