# Join Coverage Analytics — Numeric Row Ordering + Trailing Mean Series

> Join Coverage Analytics — Numeric Row Ordering + 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 2026-10-19).

Computes numeric row ordering and trailing mean series for join coverage records (matched_rows, source_rows) across up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-115?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-numeric-row-ordering-trailing-mean-series-8c7b7c56
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_g522n9baEHPZXA86Ig2n5

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-row-ordering-trailing-mean-series-8c7b7c56 -d '<json body>'
```

Example prompt: Analyze my join coverage data for group-a and group-b across these 4 dates in October 2026 — rank the rows numerically by matched_rows and compute a trailing mean with a window of 2. Here are the records: row-1 (2026-10-01, source=1, matched=10), row-2 (2026-10-02, source=2, matched=20), row-3 (2026-10-03, source=3, matched=15), row-4 (2026-10-04, source=4, matched=30).

## When to prefer this

Choose this endpoint when you need both numeric row ranking and a rolling/trailing mean analysis on join coverage metrics (matched_rows or source_rows) in a single low-cost call. Ideal for data engineers auditing ETL pipeline join quality over time, especially when you have up to 200 timestamped records grouped by dataset and want two complementary views — ordering and trend smoothing — without any external data enrichment.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds max item limit
- Window size exceeds number of rows — trailing mean may be undefined for early rows
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, dataset_group, date) — validation error
- Null values in matched_rows or source_rows — may produce null entries in output series

## How this service works

Join coverage — Numeric row ordering + Trailing mean series: Numeric row ordering + 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 row ordering of the supplied join coverage records ranked by the selected field (matched_rows or source_rows), and (2) a trailing mean series computed over the specified window size for the same field — both derived from the user-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"
  },
  "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-row-ordering-trailing-mean-series-8c7b7c56/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)