# Label Review Analytics — Category Frequencies + Two-Measure Correlation

> Label Review 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 2026-10-15).

Computes category frequency distributions and a two-measure correlation between reviewed_records and changed_labels for up to 200 label review rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-108?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/label-review-analytics-category-frequencies-two-measure-correlation-c1bdfd0b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LF6xPKNeKPpCQooeK5UI3

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 label-review-analytics-category-frequencies-two-measure-correlation-c1bdfd0b -d '<json body>'
```

Example prompt: Can you analyze these label review records — I have up to 4 rows with dataset groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, reviewed_records counts and changed_labels counts — and give me the category frequency breakdown plus the correlation between reviewed records and changed labels?

## When to prefer this

Choose this endpoint when you have tabular label review data with dataset group labels and two numeric measures (reviewed_records, changed_labels) and need both a frequency distribution of categories and a pairwise correlation in a single $0.01 call covering up to 200 rows. Prefer it over general-purpose analytics APIs when you want a lightweight, no-external-lookup, supply-your-own-data computation without spinning up a full analytics platform.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, reviewed_records) cause row-level validation errors
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- Null values in reviewed_records or changed_labels may reduce correlation sample size
- Single-row input makes correlation computation undefined or trivial
- row_id values exceeding 80 characters will be rejected

## How this service works

Label review — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied label review records (reviewed_records, changed_labels). 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 across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between reviewed_records and changed_labels. No external lookups or predictions are made; all analysis is performed on the supplied data only.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "reviewed_records",
     "changed_labels"
    ],
    "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
     },
     "changed_labels": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "reviewed_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "changed_labels": 1,
     "reviewed_records": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "changed_labels": 2,
     "reviewed_records": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "changed_labels": 3,
     "reviewed_records": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "changed_labels": 4,
     "reviewed_records": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-category-frequencies-two-measure-correlation-c1bdfd0b/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)