# Schema Conformity Analytics — Grouped Numeric Summary + Numeric Interval Filter

> Schema Conformity Analytics — Grouped Numeric Summary + 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).

Computes a grouped numeric summary and a numeric interval filter report on schema conformity records (valid_records, checked_records) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-088?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-grouped-numeric-summary-numeric-interval-a73d60f6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lglSmI4o3ST9x6noVv3U-

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-grouped-numeric-summary-numeric-interval-a73d60f6 -d '<json body>'
```

Example prompt: I have schema conformity records for two dataset groups — can you give me a grouped numeric summary of valid_records and also filter checked_records to only show rows where the value is between 0 and 50? Here are up to 200 rows of data with row_id, dataset_group, date, valid_records, and checked_records fields.

## When to prefer this

Choose this endpoint when you have schema conformity records (up to 200 rows) and need both a grouped aggregate summary and an interval-filtered view in a single paid call. Ideal for data quality pipelines, compliance dashboards, or monitoring workflows where you want two complementary analytics reports on valid_records or checked_records without standing up your own analytical infrastructure.

## Known failure modes

- More than 200 rows supplied — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause validation errors
- minimum greater than maximum yields an empty interval filter result
- Non-numeric values in valid_records or checked_records fields cause processing errors
- Payment of 0.01 USDC not completed — request blocked

## How this service works

Schema conformity — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + 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

Two analytical reports: (1) a grouped numeric summary breaking down the selected numeric field (valid_records or checked_records) by dataset_group, and (2) a numeric interval filter report showing only rows where the field value falls within the specified minimum and maximum bounds. Both reports are computed locally from the supplied rows with no 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-analytics-grouped-numeric-summary-numeric-interval-a73d60f6/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)