# Join Coverage Analytics: Numeric Distribution + Trailing Mean Series

> Join Coverage Analytics: Numeric Distribution + Trailing Mean Series 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 trailing mean time series for join coverage metrics (matched_rows, source_rows) across up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-076?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-trailing-mean-series-34fbd66f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_U5zcuIsOTFBjOHbvGadPX

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-trailing-mean-series-34fbd66f -d '<json body>'
```

Example prompt: Can you run a numeric distribution and trailing mean analysis on my join coverage data? I have 50 records with matched_rows and source_rows by date and dataset group — analyze the matched_rows field with a window of 7.

## When to prefer this

Choose this endpoint when you have preloaded join coverage records (matched_rows and source_rows) and need both a distributional statistical profile AND a rolling mean trend in a single low-cost call. It is ideal for data engineers or analysts doing offline QA, trend monitoring, or ETL validation on batch data snapshots without needing live database access or external enrichment. Prefer it over single-report endpoints when you want both distribution and time-series smoothing in one $0.01 payment.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected
- Window size larger than number of rows — trailing mean may be undefined or partially computed
- Missing required fields (row_id, date, matched_rows, source_rows, dataset_group) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Field value outside allowed numeric range — validation error
- Payment not received or insufficient USDC — 402 payment required error

## How this service works

Join coverage — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series 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 profile of the selected field (matched_rows or source_rows), covering statistical descriptors such as min, max, mean, percentiles, and histogram-style bucketing; and (2) a trailing mean time series computed over the specified window size, showing smoothed trends across the supplied date-ordered records. Both reports are derived purely from the submitted 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/join-coverage-analytics-numeric-distribution-trailing-mean-series-34fbd66f/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)