# Schema Conformity — Numeric Distribution + Numeric Interval Filter

> Schema Conformity — Numeric Distribution + 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 2026-10-15).

Analyzes schema conformity records by computing a numeric distribution and applying a numeric interval filter on valid_records or checked_records fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-074?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/schema-conformity-numeric-distribution-numeric-interval-filter-4ddbb8d7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__eiBFcHBNEgOJyAt37qwL

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-distribution-numeric-interval-filter-4ddbb8d7 -d '<json body>'
```

Example prompt: Analyze the distribution of valid_records in my schema conformity dataset and also filter rows where valid_records falls between 10 and 150 — here are my rows: group-a on 2026-10-01 had 45 valid and 50 checked, group-b on 2026-10-02 had 120 valid and 130 checked, group-a on 2026-10-03 had 8 valid and 10 checked.

## When to prefer this

Choose this endpoint when you have schema conformity data (valid_records, checked_records) already in hand and need both a distribution summary and an interval filter in a single call for up to 200 rows. It is ideal for offline/batch data quality analysis where no live data fetch or external enrichment is needed, and where cost-efficiency ($0.01 for two reports) matters.

## Known failure modes

- Missing required fields (row_id, date, dataset_group) cause validation errors
- Rows exceeding 200 items are rejected
- Date values not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- minimum greater than maximum may yield empty interval filter results
- Empty rows array (minItems:1 not met) returns an error

## How this service works

Schema conformity — Numeric distribution + Numeric interval filter: Numeric distribution + 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 analytical reports: (1) a numeric distribution summary of the selected field (valid_records or checked_records) across the supplied rows, and (2) a filtered subset of rows where the selected field falls within the specified minimum–maximum interval, both computed locally without external 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"
  },
  "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-distribution-numeric-interval-filter-4ddbb8d7/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)