# Schema Conformity Analytics: Trailing Mean Series + Date by Category Pivot

> Schema Conformity Analytics: 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 2026-10-14).

Computes a trailing moving-average time series and a date-by-category pivot table for schema conformity data (valid_records, checked_records) in a single API call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-152?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-analytics-trailing-mean-series-date-by-category-pivot-b91bf2cf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hXDTayDG6Eou05UEdx_OK

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 schema-conformity-analytics-trailing-mean-series-date-by-category-pivot-b91bf2cf -d '<json body>'
```

Example prompt: Can you run a trailing mean series and a date-by-category pivot on my schema conformity data? I have 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, valid_records values of 10, 20, 15, 30 and checked_records of 1, 2, 3, 4 — analyze the valid_records field with a rolling window of 2.

## When to prefer this

Choose this endpoint when you need both a rolling/trailing mean time series AND a pivot-by-category breakdown of schema conformity metrics (valid_records or checked_records) in a single low-cost call. It is ideal for data quality monitoring, governance reporting, or compliance workflows where you supply your own data (up to 200 rows) and need local analytical computation without any external lookups or predictions.

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied returns a validation error
- Window size less than 2 or greater than 200 is rejected
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause request failure
- Field enum value other than 'valid_records' or 'checked_records' is rejected
- Numeric values outside ±1,000,000,000,000 are rejected

## How this service works

Schema conformity — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot for supplied schema conformity records (valid_records, checked_records). 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 analytical reports: (1) a trailing moving-average time series for the chosen field (valid_records or checked_records) over the specified window size, and (2) a date-by-category pivot table grouping the same field values by date and dataset_group — both derived from the up-to-200 supplied rows, with no external data lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "valid_records",
     "checked_records"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "valid_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "checked_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "valid_records": 10,
     "checked_records": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "valid_records": 20,
     "checked_records": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "valid_records": 15,
     "checked_records": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "valid_records": 30,
     "checked_records": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "valid_records",
    "checked_records"
   ],
   "type": "string",
   "default": "valid_records"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-analytics-trailing-mean-series-date-by-category-pivot-b91bf2cf/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)