# Label Review — Numeric Interval Filter + Two-Measure Correlation

> Label Review — Numeric Interval Filter + 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 2026-10-24).

Filters label review records by a numeric interval on a chosen field and computes a Pearson/Spearman correlation between reviewed_records and changed_labels, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-131?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/label-review-numeric-interval-filter-two-measure-correlation-21e216b2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7NFMcbsDsFF8-ct4ZdJIL

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-numeric-interval-filter-two-measure-correlation-21e216b2 -d '<json body>'
```

Example prompt: I have label review records with dates, dataset groups, reviewed_records, and changed_labels columns — can you filter rows where reviewed_records is between 10 and 500, then run a two-measure correlation report between reviewed_records and changed_labels for me? I have about 80 rows.

## When to prefer this

Choose this endpoint when you have label review data (reviewed_records + changed_labels) and need both a numeric interval filter and a two-measure correlation in a single $0.01 call. It is ideal when you want to scope your data to a meaningful range before assessing whether review volume and label change counts move together. Prefer it over general-purpose analytics when your domain is annotation QA or ML labeling pipelines and your dataset is 200 rows or fewer.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row-level validation error
- Null values in both reviewed_records and changed_labels may reduce correlation sample size and produce warnings
- minimum greater than maximum produces an empty interval filter result
- row_id missing or empty causes schema validation failure
- Non-numeric values in numeric fields rejected by schema

## How this service works

Label review — Numeric interval filter + Two-measure correlation: Numeric interval filter + 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) the subset of rows where the chosen field falls within the specified numeric interval [minimum, maximum], and (2) a two-measure correlation analysis quantifying the statistical relationship between reviewed_records and changed_labels across the supplied (up to 200) rows. No external data is fetched; all computation is performed on the submitted rows.

## 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
  },
  "field": {
   "enum": [
    "reviewed_records",
    "changed_labels"
   ],
   "type": "string",
   "default": "reviewed_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/label-review-numeric-interval-filter-two-measure-correlation-21e216b2/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)