# Join Coverage Analytics: Adjacent Row Changes + Equal-Width Histogram

> Join Coverage Analytics: Adjacent Row Changes + Equal-Width Histogram 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).

Runs two local statistical reports on join coverage data (matched_rows, source_rows): adjacent row-to-row change analysis and an equal-width histogram, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-156?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-adjacent-row-changes-equal-width-histogram-e82380cd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8Y7gmKp4G2BSfpOTZa3sD

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-adjacent-row-changes-equal-width-histogram-e82380cd -d '<json body>'
```

Example prompt: Analyze my join coverage data for the 'sales' group — here are 5 rows with matched_rows and source_rows values dated 2024-01-01 through 2024-01-05 — run the adjacent row changes report and a 10-bin equal-width histogram on matched_rows.

## When to prefer this

Choose this endpoint when you have structured join coverage records with matched_rows and source_rows values and need both a temporal/sequential change analysis and a frequency distribution in one call. It is ideal for data engineers auditing ETL pipeline join quality, data quality teams monitoring coverage metrics, or analysts who want a quick dual statistical snapshot without setting up local tooling. It is not a live data connector or prediction service — you must supply all rows.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Bins parameter out of range (below 1 or above 30) — rejected
- All values null for chosen field — histogram may be empty or degenerate
- Payment of 0.01 USDC not completed — 402 payment required response

## How this service works

Join coverage — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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) an adjacent row changes report showing the delta in the chosen field (matched_rows or source_rows) between each consecutive record, and (2) an equal-width histogram dividing the field values into the specified number of bins with frequency counts per bin. All computation is performed locally on the supplied data with no external lookups.

## 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-adjacent-row-changes-equal-width-histogram-e82380cd/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)