# Label Review Analytics — Daily Sum Series + Trailing Mean Series

> Label Review Analytics — Daily Sum Series + 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 a daily sum time series and a trailing moving average series for label review metrics (reviewed_records or changed_labels) from up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-136?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-daily-sum-series-trailing-mean-series-05246770
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Y5z1jUBwD4_Uf6enV9m3F

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-daily-sum-series-trailing-mean-series-05246770 -d '<json body>'
```

Example prompt: Can you compute the daily sum and trailing mean (window of 7) for 'changed_labels' across my label review data — I'll supply the rows with date, row_id, dataset_group, reviewed_records, and changed_labels fields?

## When to prefer this

Choose this endpoint when you have tabular label review data and need both a daily aggregation time series and a smoothed rolling average in a single low-cost call. It is purpose-built for annotation and data labeling QA workflows where you want to track daily throughput or label change volume over time without spinning up your own analytical infrastructure. Prefer this over generic analytics tools when your data fits the label review schema (reviewed_records, changed_labels, dataset_group) and you want both reports bundled for $0.01.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size outside range 2–200 — validation error
- Field value not one of ['reviewed_records','changed_labels'] — enum error
- All numeric values null — empty or degenerate output
- Missing required fields (row_id, date) — schema validation failure

## How this service works

Label review — Daily sum series + Trailing mean series: Daily sum series + 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

Two independent analytical reports: (1) a daily sum series aggregating the chosen metric (reviewed_records or changed_labels) by date, and (2) a trailing mean series computed over the specified window size — both derived entirely from the supplied row data, with no external lookups or predictions.

## 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-daily-sum-series-trailing-mean-series-05246770/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)