# Label Review Analytics: Exact Row Deduplication + Base-100 Series

> Label Review Analytics: Exact Row Deduplication + Base-100 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).

Performs exact row deduplication and Base-100 series indexing on label review records (reviewed_records and changed_labels fields) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-047?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-exact-row-deduplication-base-100-series-94bbd538
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ajCrngsV0M27nHN9o0mEe

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-exact-row-deduplication-base-100-series-94bbd538 -d '<json body>'
```

Example prompt: Can you deduplicate my label review records and generate a Base-100 index series for the reviewed_records field, using row 0 as the base? I have about 50 rows across two dataset groups spanning October 2026.

## When to prefer this

Choose this endpoint when you need both duplicate-row elimination and a Base-100 normalized index series on label review data in a single low-cost call. It is ideal for ML annotation teams auditing review pipelines where data integrity (deduplication) and relative trend analysis (base indexing) are both required on the same dataset of up to 200 rows. It is not suitable for live data lookup, predictive modeling, or datasets exceeding 200 rows.

## Known failure modes

- Exceeds 200-row limit — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index out of range (0–199) — error returned
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — schema validation failure
- Null numeric values may affect Base-100 calculation if base row has null
- Empty rows array — minimum 1 item required

## How this service works

Label review — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 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 reports: (1) an exact row deduplication report identifying and removing duplicate rows from the submitted label review data, and (2) a Base-100 indexed time series for the selected field (reviewed_records or changed_labels), rebased at the specified base_index row. Both reports are 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-exact-row-deduplication-base-100-series-94bbd538/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)