# Aggregation Checks — Trailing Mean Series + Date by Category Pivot

> Aggregation Checks — Trailing Mean Series + 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 2026-10-24).

Computes a trailing moving-average time series and a date-by-category pivot table for aggregation check records containing source_sum and aggregate_sum fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-17-152?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/aggregation-checks-trailing-mean-series-date-by-category-pivot-1d98ef04
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gBz1qYLTSOwTSpFK15n5m

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-trailing-mean-series-date-by-category-pivot-1d98ef04 -d '<json body>'
```

Example prompt: Run the trailing mean series and date-by-category pivot on my aggregation check data — here are 4 rows with source_sum and aggregate_sum values across group-a and group-b from 2026-10-01 to 2026-10-04, use a window of 2, and analyze the source_sum field.

## When to prefer this

Choose this endpoint when you need both a rolling/trailing mean time series AND a date-by-category pivot table computed together on aggregation check records (source_sum, aggregate_sum) in a single paid call. It is purpose-built for reconciliation and aggregation validation workflows where you supply your own data and want offline analytical summaries — not for live lookups, predictions, or external data enrichment.

## Known failure modes

- Fewer than 1 row supplied — request rejected by minItems constraint
- Window size larger than number of rows — trailing mean series may be empty or partial
- Invalid date format (not YYYY-MM-DD) — schema validation error
- source_sum or aggregate_sum values outside ±1,000,000,000,000 — rejected by schema bounds
- row_id or dataset_group exceeding 80 characters — schema validation error
- More than 200 rows supplied — rejected by maxItems constraint

## How this service works

Aggregation checks — Trailing mean series + Date by category pivot: Trailing mean series + 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 independent analytical reports: (1) a trailing moving-average time series for the selected field (source_sum or aggregate_sum) computed over the specified window size, and (2) a date-by-category pivot table breaking down values by dataset_group across dates — both derived solely from the supplied input rows (up to 200).

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/aggregation-checks-trailing-mean-series-date-by-category-pivot-1d98ef04/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)