# Aggregation Checks — Two-Measure Correlation + Secondary-Measure Weighted Mean

> Aggregation Checks — Two-Measure Correlation + Secondary-Measure Weighted Mean 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 Pearson/Spearman correlation between source_sum and aggregate_sum, plus a weighted mean of a chosen secondary measure, across up to 200 supplied aggregation-check rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-17-181?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-two-measure-correlation-secondary-measure-weighted-6e2c8287
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JdDqPPKHdWgezhMtoBuTU

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-two-measure-correlation-secondary-measure-weighted-6e2c8287 -d '<json body>'
```

Example prompt: I have 150 rows of aggregation check data with source_sum and aggregate_sum values grouped by dataset — can you compute the correlation between those two measures and give me the weighted mean of source_sum across all rows?

## When to prefer this

Choose this endpoint when you need both a correlation analysis and a weighted mean computed together in a single paid call on up to 200 rows of aggregation check data (source_sum vs aggregate_sum). It is purpose-built for data reconciliation and aggregation auditing workflows where you want two statistical reports for a single $0.01 USDC fee, with no external data fetching or prediction.

## Known failure modes

- rows array empty or missing — minItems:1 violated
- more than 200 rows supplied — maxItems exceeded
- date field does not match YYYY-MM-DD pattern
- source_sum or aggregate_sum out of range (±1,000,000,000,000)
- row_id or dataset_group exceeds maxLength of 80 characters
- field enum value not one of source_sum or aggregate_sum
- insufficient numeric data (all nulls) to compute correlation or weighted mean

## How this service works

Aggregation checks — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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 independent analytical reports: (1) a two-measure correlation coefficient between source_sum and aggregate_sum across the supplied rows, and (2) a weighted mean of the specified field (source_sum or aggregate_sum). Results are computed locally with no external lookup or prediction.

## 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-two-measure-correlation-secondary-measure-weighted-6e2c8287/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)