# Join Coverage Analytics — Equal-Width Histogram & Weighted Mean

> Join Coverage Analytics — Equal-Width Histogram & Weighted Mean 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).

Computes an equal-width histogram and secondary-measure weighted mean for join coverage records (matched_rows, source_rows) supplied in the request body.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-172?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-analytics-equal-width-histogram-weighted-mean-346c8fdd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1j_0GthBrTHq_ZEJfW4r_

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-equal-width-histogram-weighted-mean-346c8fdd -d '<json body>'
```

Example prompt: Run a histogram and weighted mean analysis on my join coverage data — I've got 4 records for group-a and group-b dated 2026-10-01 through 2026-10-04 with matched_rows values of 10, 20, 15, 30 and source_rows of 1, 2, 3, 4 — use 5 bins and analyze the matched_rows field.

## When to prefer this

Choose this endpoint when you have join coverage tabular data (matched_rows, source_rows) already in hand and need fast, offline statistical summarization — specifically an equal-width histogram plus a weighted mean — without any external lookup or prediction. Best for data engineers auditing ETL join quality or analysts exploring row-match distributions across dataset groups. Not suitable for live data fetching, predictions, or analyses requiring more than 200 rows.

## Known failure modes

- Missing required row fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors
- More than 200 rows submitted — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- bins value outside 1–30 range causes rejection
- All null values for the selected field may produce undefined histogram or NaN mean
- Payment of 0.01 USDC not completed — 402 response returned

## How this service works

Join coverage — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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 sharing local engines: (1) an equal-width histogram of the selected field (matched_rows or source_rows) across up to 200 supplied records, broken into 1–30 bins; and (2) a weighted mean of the secondary measure. Output includes bin edges, bin counts, and the computed weighted average.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-weighted-mean-346c8fdd/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)