# Schema Conformity Analytics: Category Frequencies + Two-Measure Correlation

> Schema Conformity Analytics: Category Frequencies + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Computes category frequency distributions and two-measure correlation analysis on user-supplied schema conformity records (valid_records vs checked_records) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-108?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-analytics-category-frequencies-two-measure-b161cc03
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MvPHMKMh15P5wQREGWYxK

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-two-measure-b161cc03 -d '<json body>'
```

Example prompt: Analyze my schema conformity data — I have records for two groups (group-a and group-b) across four dates, with valid_records and checked_records counts for each. Can you run the category frequency report and the two-measure correlation on that data?

## When to prefer this

Choose this endpoint when you need both a group-level frequency summary and a correlation between two numeric measures (valid_records and checked_records) on schema conformity data in a single low-cost call. It is ideal for data quality monitoring workflows where you already have the raw conformity rows and need quick, offline statistical summaries without any external data enrichment or prediction.

## Known failure modes

- Input array is empty or exceeds 200 rows — request rejected
- Missing required fields (row_id, date, valid_records, checked_records) — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- All valid_records or checked_records values are null — correlation cannot be computed
- Payment of 0.01 USDC not completed — 402 response, no report returned

## How this service works

Schema conformity — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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) a category frequency table showing how often each dataset_group value appears in the submitted rows, and (2) a two-measure correlation report between valid_records and checked_records across all submitted rows. Both reports are computed locally on the supplied data 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-analytics-category-frequencies-two-measure-b161cc03/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)