# Schema Conformity Analytics — Numeric Interval Filter + Secondary-Measure Weighted Mean

> Schema Conformity Analytics — Numeric Interval Filter + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).

Filters schema conformity records by a numeric interval on a chosen field and computes a weighted mean of a secondary measure across up to 200 rows, delivering two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-132?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-analytics-numeric-interval-filter-secondary-measure-328b22fa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yKtxK-eUNHEqVkhapP13R

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-numeric-interval-filter-secondary-measure-328b22fa -d '<json body>'
```

Example prompt: I have a batch of schema conformity records with valid_records and checked_records fields — can you filter rows where valid_records falls between 0 and 500, then compute the weighted mean of checked_records across up to 200 rows and give me two analytical reports?

## When to prefer this

Choose this endpoint when you have schema conformity records (valid_records, checked_records) and need both a numeric interval filter and a weighted mean computation in a single call. It is purpose-built for data quality analytics on conformity datasets and delivers two reports per call at low cost. Prefer it over general analytics APIs when your data fits the schema conformity domain and you need aggregated statistical output without external lookups or predictions.

## Known failure modes

- Missing required fields (row_id, date, valid_records, checked_records) cause validation errors
- More than 200 rows submitted triggers a row-count rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Minimum greater than maximum may produce empty filtered result set
- Null values in the measure fields may be excluded or cause weighted mean to be undefined
- Field enum value outside 'valid_records'/'checked_records' causes rejection

## How this service works

Schema conformity — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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: one covering the interval-filtered subset of schema conformity rows (filtered by the chosen field's min/max range), and one providing the weighted mean of the secondary measure (valid_records or checked_records) across the filtered data. Up to 200 rows are processed per call.

## 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-numeric-interval-filter-secondary-measure-328b22fa/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)