# Schema Conformity Numeric Row Ordering and Interval Filter Analytics

> Schema Conformity Numeric Row Ordering and Interval Filter Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).

Sorts schema conformity records by numeric field value and filters them to a specified numeric interval, returning up to 2 reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-113?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-numeric-row-ordering-and-interval-filter-analytics-b55aa120
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nwP-yNASrxwQ22Iw8q_21

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-numeric-row-ordering-and-interval-filter-analytics-b55aa120 -d '<json body>'
```

Example prompt: Sort my schema conformity records by valid_records and filter them to only include rows where valid_records is between 10 and 500 — here are 4 rows: row-1 (group-a, 2026-10-01, valid=10, checked=1), row-2 (group-b, 2026-10-02, valid=20, checked=2), row-3 (group-a, 2026-10-03, valid=15, checked=3), row-4 (group-b, 2026-10-04, valid=30, checked=4).

## When to prefer this

Choose this endpoint when you have schema conformity records with valid_records and checked_records metrics and need to (1) rank rows numerically by one of those fields and/or (2) filter rows to a specific numeric interval — all in one $0.01 call covering both reports. Ideal for lightweight data quality audits where no external lookup, prediction, or live data is needed and the dataset fits within 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Invalid date format in row (must be YYYY-MM-DD)
- Minimum value greater than maximum value — empty interval result
- Missing required fields (row_id, valid_records, checked_records) — validation error
- Field enum value not recognized — defaults or error returned
- Null numeric values in key fields may be excluded or cause unexpected ordering

## How this service works

Schema conformity — Numeric row ordering + Numeric interval filter: Numeric row ordering + 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 up to 2 analytical reports: one with rows numerically ordered by the selected field (valid_records or checked_records), and one with rows filtered to those whose selected field value falls within the specified minimum–maximum interval. Each report covers the supplied rows up to 200 entries. No external data is fetched; analysis is performed locally on the supplied records.

## 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-numeric-row-ordering-and-interval-filter-analytics-b55aa120/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)