# Join Coverage Daily Sum + Secondary-Measure Weighted Mean Analytics

> Join Coverage Daily Sum + 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 2026-10-23).

Computes a daily sum series and a secondary-measure weighted mean for supplied join coverage records (matched_rows, source_rows) across up to 200 rows in two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-09-142?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-daily-sum-secondary-measure-weighted-mean-analytics-e8c594d8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WPQcBkkmNWTk2UyoYOKkR

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-daily-sum-secondary-measure-weighted-mean-analytics-e8c594d8 -d '<json body>'
```

Example prompt: I have join coverage records for group-a and group-b across October 2026 — can you run a daily sum series plus a weighted mean on matched_rows for these four rows: row-1 on 2026-10-01 with source_rows=1 and matched_rows=10, row-2 on 2026-10-02 with source_rows=2 and matched_rows=20, row-3 on 2026-10-03 with source_rows=3 and matched_rows=15, row-4 on 2026-10-04 with source_rows=4 and matched_rows=30?

## When to prefer this

Choose this endpoint when you have tabular join coverage data (matched_rows, source_rows) with date and group labels and need both a daily sum aggregation and a weighted mean in a single paid call. Ideal for data quality pipelines, ETL monitoring, and dataset reconciliation workflows where you want two complementary statistical summaries computed from your own supplied data without any external data access or live lookup.

## Known failure modes

- More than 200 rows supplied — request rejected due to maxItems constraint
- Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minItems constraint violation

## How this service works

Join coverage — Daily sum series + Secondary-measure weighted mean: Daily sum 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

Two independent analytical reports: (1) a daily sum series showing the total of the selected field (matched_rows or source_rows) per date, and (2) a secondary-measure weighted mean across the supplied join coverage records. Results are computed locally from the supplied data with no external lookup.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/join-coverage-daily-sum-secondary-measure-weighted-mean-analytics-e8c594d8/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)