# Label Review Analytics: Category Frequencies + Equal-Width Histogram

> Label Review Analytics: Category Frequencies + Equal-Width Histogram 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 distribution and an equal-width histogram for label review records (reviewed_records or changed_labels) across up to 200 rows in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-106?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-equal-width-histogram-02e2de64
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4mW9hzpoAwxrbpM5A4Blo

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-equal-width-histogram-02e2de64 -d '<json body>'
```

Example prompt: Can you run category frequency analysis and a 10-bin equal-width histogram on this label review data — use the changed_labels field — I have 4 rows: row-1 on 2026-10-01 group-a with 1 changed and 10 reviewed, row-2 on 2026-10-02 group-b with 2 changed and 20 reviewed, row-3 on 2026-10-03 group-a with 3 changed and 15 reviewed, row-4 on 2026-10-04 group-b with 4 changed and 30 reviewed?

## When to prefer this

Choose this endpoint when you need a quick, self-contained frequency and histogram analysis on label review tabular data (up to 200 rows) without sending data to an external ML or analytics platform. It is ideal for lightweight QA checks on annotation pipelines, label change audits, or distribution summaries where only category groupings and numeric distributions are needed and no prediction or live enrichment is required.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required row fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema error
- bins value outside 1–30 range rejected
- Null values in the selected numeric field may affect histogram bin counts
- All null values in target field may result in empty histogram

## How this service works

Label review — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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

Two analytical reports: (1) a category frequency table showing counts per dataset_group value, and (2) an equal-width histogram of the selected numeric field (reviewed_records or changed_labels) broken into the requested number of bins, including bin edges and counts — all computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-category-frequencies-equal-width-histogram-02e2de64/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)