# Aggregation Checks — Numeric Row Ordering + Trailing Mean Series

> Aggregation Checks — Numeric Row Ordering + Trailing Mean Series 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).

Analyzes aggregation check records by computing numeric row ordering and a trailing mean series for source_sum or aggregate_sum values across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-17-115?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-numeric-row-ordering-trailing-mean-series-d6a3e013
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OdrY-r0tYFWcSuAojJu_R

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-numeric-row-ordering-trailing-mean-series-d6a3e013 -d '<json body>'
```

Example prompt: Can you run numeric row ordering and a trailing mean series (window size 3) on my aggregation check data for the source_sum field? Here are my rows: row-1 2026-10-01 group-a source_sum=10 aggregate_sum=1, row-2 2026-10-02 group-b source_sum=20 aggregate_sum=2, row-3 2026-10-03 group-a source_sum=15 aggregate_sum=3.

## When to prefer this

Choose this endpoint when you need both a numeric ordering check and a rolling/trailing mean analysis on aggregation sum data in a single call, with up to 200 rows and no need for external data lookup or prediction. It is cost-effective at $0.01 USDC for two bundled reports.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- Window size exceeds number of rows — trailing mean may be undefined for early rows
- Invalid date format (not YYYY-MM-DD) — schema validation error
- source_sum or aggregate_sum values outside ±1,000,000,000,000 — schema rejection
- Missing required fields (row_id, dataset_group, date) — validation failure
- Payment not completed (x402 protocol) — 402 response, no report generated

## How this service works

Aggregation checks — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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 numeric row ordering report ranking rows by the selected field, and (2) a trailing mean series computed over the specified window size for the chosen field (source_sum or aggregate_sum), covering all supplied rows (up to 200). No external lookups or predictions are performed.

## 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-numeric-row-ordering-trailing-mean-series-d6a3e013/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)