# Join Coverage Base-100 Series + Secondary-Measure Weighted Mean Analytics

> Join Coverage Base-100 Series + Secondary-Measure Weighted Mean Analytics 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).

Computes a base-100 index series and a secondary-measure weighted mean for join coverage data (matched_rows vs source_rows) across up to 200 rows, grouped by dataset_group and date.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-166?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-base-100-series-secondary-measure-weighted-mean-analytics-a0148c1a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_H9pRcCd1ePMF0t0Cwc9Ss

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-base-100-series-secondary-measure-weighted-mean-analytics-a0148c1a -d '<json body>'
```

Example prompt: I have join coverage records for two groups — group-a and group-b — across 4 dates in October 2026, with matched_rows and source_rows values for each row. Can you compute a base-100 index series and a weighted mean for the matched_rows field, using row 0 as the base index?

## When to prefer this

Choose this endpoint when you need both a base-100 normalization series and a weighted mean computed together from join coverage data (matched_rows / source_rows) in a single paid call. It is ideal for batch analytical reporting on data integration quality metrics without requiring any external lookup or live data sources. Prefer it over general-purpose analytics tools when you need a low-cost ($0.01 USDC for 2 reports), deterministic, offline computation on up to 200 structured rows of join coverage data grouped by dataset_group and date.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) on any row — validation error
- base_index out of range (>= number of rows supplied) — computation error
- matched_rows or source_rows values outside allowed numeric range — validation error
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) on any row — schema error
- All values for the selected field are null — weighted mean undefined

## How this service works

Join coverage — Base-100 series + Secondary-measure weighted mean: Base-100 series + 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 computed from the supplied join coverage rows: (1) a base-100 index series normalizing the selected field (matched_rows or source_rows) relative to the specified base index row, and (2) a secondary-measure weighted mean across the rows. Results are derived entirely from the supplied data using local analytical engines — no external data is fetched.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/join-coverage-base-100-series-secondary-measure-weighted-mean-analytics-a0148c1a/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)