# Schema Conformity Analytics: Category Frequencies + Numeric Interval Filter

> Schema Conformity Analytics: Category Frequencies + Numeric Interval Filter 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).

Analyzes schema conformity records (valid_records, checked_records) to produce category frequency distributions and numeric interval-filtered subsets across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-101?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-numeric-interval-6047e16b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3D_uceC15fDW4pmDe2lOw

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-numeric-interval-6047e16b -d '<json body>'
```

Example prompt: Analyze my schema conformity data for up to 200 rows — give me category frequencies by dataset_group and filter the valid_records field to only include rows where values fall between 50 and 5000. Here are the rows: [{"row_id":"row-1","dataset_group":"group-a","date":"2026-10-01","valid_records":120,"checked_records":150}].

## When to prefer this

Choose this endpoint when you have pre-collected schema conformity records (valid_records, checked_records) and need both a categorical frequency breakdown by dataset_group AND a numeric range filter on one metric in a single API call. It is ideal for data quality teams running batch analysis on up to 200 rows without needing live lookups or external data enrichment. Prefer this over generic analytics tools when you want two co-located reports (frequency + interval filter) at minimal cost ($0.01 USDC) on structured conformity data.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause row-level errors
- Minimum value greater than maximum value yields an empty interval filter result
- Non-conforming date format (not YYYY-MM-DD) may cause parsing errors
- Null numeric values in valid_records or checked_records may be excluded from interval filtering
- Payment failure (insufficient USDC) blocks endpoint access

## How this service works

Schema conformity — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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) category frequency counts showing how often each dataset_group appears in the supplied rows, and (2) a filtered subset of rows where the selected numeric field (valid_records or checked_records) falls within the specified minimum–maximum interval. Both reports operate on the same supplied dataset of up to 200 rows.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-analytics-category-frequencies-numeric-interval-6047e16b/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)