# Label Review Analytics — Numeric Interval Filter + Daily Sum Series

> Label Review Analytics — Numeric Interval Filter + 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 2026-10-15).

Runs two local analytical reports on label review data: a numeric interval filter and a daily sum series, covering up to 200 rows of reviewed_records or changed_labels.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-125?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-interval-filter-daily-sum-series-4725309b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AAmZNpSVASSOZuSvSv6iC

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-daily-sum-series-4725309b -d '<json body>'
```

Example prompt: Run two reports on my label review data — a numeric interval filter keeping only rows where reviewed_records is between 5 and 50, plus a daily sum series for reviewed_records — across these 4 rows: row-1 (group-a, 2026-10-01, reviewed_records=10, changed_labels=1), row-2 (group-b, 2026-10-02, reviewed_records=20, changed_labels=2), row-3 (group-a, 2026-10-03, reviewed_records=15, changed_labels=3), row-4 (group-b, 2026-10-04, reviewed_records=30, changed_labels=4).

## When to prefer this

Choose this endpoint when you need both a numeric range filter and a daily aggregation time series computed together on label review data (reviewed_records or changed_labels) in a single $0.01 call. Ideal for MLOps and data quality workflows where you want to identify records within a value band and simultaneously track daily totals — without any external data lookup or live ML inference. Best suited for datasets of up to 200 rows per call.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, reviewed_records, changed_labels) on any row — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- minimum value greater than maximum value — may return empty interval filter results
- Non-numeric values for reviewed_records or changed_labels — schema rejection
- Payment not processed — 402 response, reports not returned

## How this service works

Label review — Numeric interval filter + Daily sum series: Numeric interval filter + 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

Returns two independent analytical reports: (1) a numeric interval filter report listing rows where the chosen field (reviewed_records or changed_labels) falls within the specified min–max range, and (2) a daily sum series aggregating the chosen field by date across all supplied rows. Both reports are computed locally from the submitted 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"
  },
  "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-daily-sum-series-4725309b/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)