# Aggregation Checks — Secondary-Measure Weighted Mean + Date by Category Pivot

> Aggregation Checks — Secondary-Measure Weighted Mean + Date by Category Pivot 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 weighted mean on a secondary numeric measure and produces a date-by-category pivot table for up to 200 supplied aggregation-check rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-17-185?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/aggregation-checks-secondary-measure-weighted-mean-date-by-category-90ba0e19
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_D7JwAI6m_RW7XEotGbvgh

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 aggregation-checks-secondary-measure-weighted-mean-date-by-category-90ba0e19 -d '<json body>'
```

Example prompt: I have 4 aggregation check rows with date, dataset_group, source_sum, and aggregate_sum values — can you compute the weighted mean on source_sum and also give me a pivot of those values by date and category group?

## When to prefer this

Choose this endpoint when you have pre-assembled tabular aggregation-check records (with source_sum and aggregate_sum) and need both a weighted mean on a chosen numeric measure and a date-by-category pivot in a single low-cost call. It is ideal for reconciliation auditing, ETL validation, and business intelligence summarization on small-to-medium datasets (up to 200 rows) without requiring external data lookups or prediction.

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied — request rejected
- Missing required fields (row_id, dataset_group, date, source_sum, aggregate_sum) — validation error
- Date values not matching YYYY-MM-DD format — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- All numeric values null — weighted mean undefined or returns null result
- Invalid field enum value — schema error

## How this service works

Aggregation checks — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot for supplied aggregation checks records (source_sum, aggregate_sum). 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 analytic reports: (1) a secondary-measure weighted mean computed across the supplied rows using the selected field (source_sum or aggregate_sum), and (2) a pivot table breaking down values by date and dataset_group category. Both reports are derived exclusively from the 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",
     "source_sum",
     "aggregate_sum"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_sum": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "aggregate_sum": {
      "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_sum": 10,
     "aggregate_sum": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_sum": 20,
     "aggregate_sum": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_sum": 15,
     "aggregate_sum": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_sum": 30,
     "aggregate_sum": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "source_sum",
    "aggregate_sum"
   ],
   "type": "string",
   "default": "source_sum"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/aggregation-checks-secondary-measure-weighted-mean-date-by-category-90ba0e19/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)