# Label Review Analytics: Numeric Distribution + Trailing Mean Series

> Label Review Analytics: Numeric Distribution + Trailing Mean Series 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 numeric distribution statistics and a trailing mean time series for label review data (reviewed_records and changed_labels) supplied by the caller, up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-076?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-numeric-distribution-trailing-mean-series-fc2edbb4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oLyZX1gt-ETsbLPGW9a9Y

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-distribution-trailing-mean-series-fc2edbb4 -d '<json body>'
```

Example prompt: Analyze my label review data for the last week — I have up to 50 rows with reviewed_records and changed_labels per dataset group — give me the numeric distribution and a trailing mean series for reviewed_records using a window of 5.

## When to prefer this

Choose this endpoint when you have your own label review tabular data and need two complementary analytical views — numeric distribution and trailing mean — computed locally without any external data access. It is well-suited for ML/data labeling teams auditing annotation throughput or label change rates across dataset groups over time. Prefer it over generic statistics APIs when your data fits the reviewed_records/changed_labels schema and you want both reports in a single low-cost call.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maximum is 200
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size smaller than 2 or larger than 200
- Numeric field values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Missing required row fields (row_id, date, reviewed_records, changed_labels)
- Invalid field enum value — must be 'reviewed_records' or 'changed_labels'

## How this service works

Label review — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series 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 for the supplied dataset: (1) a numeric distribution report showing statistical spread of the chosen field (reviewed_records or changed_labels), and (2) a trailing mean time series computed over the specified window, both based purely on the caller-supplied rows with no external lookups.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-numeric-distribution-trailing-mean-series-fc2edbb4/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)