# Schema Conformity Analytics: Category Frequencies + Trailing Mean Series

> Schema Conformity Analytics: Category Frequencies + 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 2026-10-17).

Computes category-frequency distribution and a trailing moving-average series for schema conformity records (valid_records, checked_records) supplied by the caller — up to 200 rows, two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-103?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-analytics-category-frequencies-trailing-mean-series-e0f0b93e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nZ4xT3ZttkwS1RqmDpLr1

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-category-frequencies-trailing-mean-series-e0f0b93e -d '<json body>'
```

Example prompt: Analyze my schema conformity data — here are 50 rows each with a date, dataset_group, valid_records, and checked_records — and give me both a category frequency breakdown by group and a trailing mean series for valid_records using a window of 5.

## When to prefer this

Choose this endpoint when you already have schema conformity records in hand (valid_records, checked_records) and need two quick analytical outputs — a category frequency breakdown and a trailing mean time series — without any external lookups or predictions. It is ideal for lightweight, low-cost ($0.01 USDC for both reports) batch summarization of up to 200 rows of data-quality logs.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — rejected, maxItems constraint
- Invalid date format (not YYYY-MM-DD) — validation error
- Window size outside 2–200 range — validation error
- Field value not in enum ['valid_records','checked_records'] — validation error
- Null numeric values in all rows for selected field — may produce empty or degenerate series
- Missing required row fields (row_id, dataset_group, date) — validation error

## How this service works

Schema conformity — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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 independent analytical reports: (1) a category frequency table showing counts grouped by dataset_group, and (2) a trailing moving-average series for the chosen field (valid_records or checked_records) computed over the specified window size. Based on up to 200 supplied rows; no external data is fetched.

## 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-category-frequencies-trailing-mean-series-e0f0b93e/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)