# Label Review Analytics: Numeric Interval Filter + Date-by-Category Pivot

> Label Review Analytics: Numeric Interval Filter + Date-by-Category Pivot 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).

Runs two analytical reports on label review data: filters rows by a numeric interval on a chosen field, and pivots dates by dataset category for reviewed_records or changed_labels.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-133?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-analytics-numeric-interval-filter-date-by-category-pivot-0889c2b1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gKt2I5kd1kplcNakEGeCt

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-numeric-interval-filter-date-by-category-pivot-0889c2b1 -d '<json body>'
```

Example prompt: I have label review records with reviewed_records and changed_labels — can you filter the rows where reviewed_records is between 5 and 50, and also give me a pivot of dates broken down by dataset_group? Here are my rows: row-1 on 2026-10-01 in group-a with 10 reviewed and 1 changed, row-2 on 2026-10-02 in group-b with 20 reviewed and 2 changed.

## When to prefer this

Choose this endpoint when you have label review or data annotation records (with reviewed_records and changed_labels metrics) and need both a numeric range filter and a date-by-category pivot in a single low-cost call. It is ideal for ML data quality audits, annotation pipeline monitoring, and batch QA reporting where up to 200 rows are available locally and no live data lookup or prediction is needed.

## Known failure modes

- More than 200 rows submitted — exceeds the per-call row limit
- Missing required fields (row_id, date, dataset_group) in one or more rows
- Date format not matching YYYY-MM-DD pattern causing validation failure
- Numeric values outside the allowed range (-1e12 to 1e12) causing schema rejection
- Invalid field enum value (must be 'reviewed_records' or 'changed_labels')
- Payment not processed or insufficient USDC balance causing 402 rejection

## How this service works

Label review — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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 numeric interval filter listing rows where the chosen field (reviewed_records or changed_labels) falls within the specified minimum and maximum bounds, and (2) a date-by-category pivot table aggregating the chosen metric across dates broken down by dataset_group. Both reports are derived purely from the supplied input rows with no external data lookup.

## 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-analytics-numeric-interval-filter-date-by-category-pivot-0889c2b1/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)