# Label Review Analytics: Exact Row Deduplication + Two-Measure Correlation

> Label Review Analytics: Exact Row Deduplication + Two-Measure Correlation 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).

Deduplicates exact duplicate rows and computes correlation between reviewed_records and changed_labels metrics for up to 200 label review records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-050?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-exact-row-deduplication-two-measure-correlation-8ea76c44
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FSnZ09PIcgfK_q4eY9-v9

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-two-measure-correlation-8ea76c44 -d '<json body>'
```

Example prompt: Can you deduplicate my label review records and check the correlation between reviewed_records and changed_labels? I have rows like: row-1 on 2026-10-01 in group-a with 10 reviewed_records and 1 changed_label, row-2 on 2026-10-02 in group-b with 20 reviewed_records and 2 changed_labels, and a few more up to about 50 rows total.

## When to prefer this

Choose this endpoint when you need both exact-duplicate removal and a two-metric correlation analysis on label review data in a single low-cost call. It is ideal for ML/data teams auditing annotation pipelines who want lightweight, offline statistical analysis without sending data to external prediction or lookup services. Best when your dataset is under 200 rows and contains reviewed_records and changed_labels fields.

## Known failure modes

- Input exceeds 200 rows — API rejects with validation error
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause schema validation failure
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Insufficient variation in measures may result in undefined or degenerate correlation output
- Empty rows array rejected (minItems: 1)

## How this service works

Label review — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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 fully duplicate rows from the submitted data, and (2) a two-measure correlation report computing the statistical relationship between reviewed_records and changed_labels across the submitted rows — 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/label-review-analytics-exact-row-deduplication-two-measure-correlation-8ea76c44/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)