# Join Coverage Analytics: Numeric Distribution + Grouped Numeric Summary

> Join Coverage Analytics: Numeric Distribution + 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 2026-10-23).

Computes a numeric distribution report and a grouped numeric summary for join coverage metrics (matched_rows, source_rows) across up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-071?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-numeric-distribution-grouped-numeric-summary-390c9862
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lUrktnwpGLAYPsu8f49OT

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-numeric-distribution-grouped-numeric-summary-390c9862 -d '<json body>'
```

Example prompt: Analyze the numeric distribution and grouped summary of matched_rows for my join coverage dataset — here are 4 records: row-1 on 2026-10-01 in group-a with source_rows=1 and matched_rows=10, row-2 on 2026-10-02 in group-b with source_rows=2 and matched_rows=20, row-3 on 2026-10-03 in group-a with source_rows=3 and matched_rows=15, row-4 on 2026-10-04 in group-b with source_rows=4 and matched_rows=30.

## When to prefer this

Choose this endpoint when you need both a numeric distribution and a grouped summary for join coverage metrics (matched_rows or source_rows) in a single low-cost call. It is ideal for data engineers auditing ETL pipeline join quality, where you want statistical spread and group-level breakdowns without writing custom analytics code. Prefer it over generic analytics tools when your data already conforms to the row_id/dataset_group/date/matched_rows/source_rows schema and you want two reports for $0.01 USDC with no external data leaving your payload.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) causes row rejection
- Field selector not one of 'matched_rows' or 'source_rows' causes enum validation error
- Null values in the selected numeric field may affect distribution computations
- Empty rows array (minItems:1 violated) returns an error

## How this service works

Join coverage — Numeric distribution + Grouped numeric summary: Numeric distribution + 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 numeric distribution breakdown of the selected field (matched_rows or source_rows), including spread, frequency, and range statistics; and (2) a grouped numeric summary aggregating that field by dataset_group, showing group-level stats. Both reports are computed 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-numeric-distribution-grouped-numeric-summary-390c9862/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)