# Label Review Analytics — Numeric Row Ordering & Daily Sum Series

> Label Review Analytics — Numeric Row Ordering & Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Computes numeric row ordering and daily sum time series for label review data (reviewed_records, changed_labels) from up to 200 supplied rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-114?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/label-review-analytics-numeric-row-ordering-daily-sum-series-eeb7f6f7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HshTf3FbNcXvat7H5Tbpp

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-row-ordering-daily-sum-series-eeb7f6f7 -d '<json body>'
```

Example prompt: I have a list of label review records with dates, dataset groups, reviewed_records, and changed_labels — can you rank the rows numerically by reviewed_records and also give me a daily sum series for the same field? Here are up to 200 rows across groups like 'group-a' and 'group-b' from October 2026.

## When to prefer this

Choose this endpoint when you have label review tabular data and need two simultaneous lightweight analytical outputs — numeric row ranking and daily sum aggregation — without needing any live data lookups, ML predictions, or external integrations. It is especially useful for annotation pipeline QA, data labeling audits, or reviewing daily throughput patterns in ML dataset preparation workflows, and it handles up to 200 rows per call at minimal cost.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Null values in the selected field may be excluded from aggregations
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause validation errors
- Empty rows array rejected (minItems: 1)

## How this service works

Label review — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum 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 analytical reports: (1) a numeric row ordering of the supplied rows ranked by the selected field (reviewed_records or changed_labels), and (2) a daily sum time series aggregating the selected field by date — all computed locally from the supplied data 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-numeric-row-ordering-daily-sum-series-eeb7f6f7/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)