# Data Reconciliation — Duplicate Key Report + Two-Measure Correlation

> Data Reconciliation — Duplicate Key Report + 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 2026-10-19).

Analyzes up to 200 reconciliation records to produce a duplicate key report and a Pearson/linear correlation report between source_total and target_total values.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-066?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-reconciliation-duplicate-key-report-two-measure-correlation-2b20b7d0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pxgCuMQODiFCcYJylI5_p

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 data-reconciliation-duplicate-key-report-two-measure-correlation-2b20b7d0 -d '<json body>'
```

Example prompt: Check my reconciliation data for duplicate row IDs and compute the correlation between source_total and target_total — I have rows like: row-1 on 2026-10-01 in group-a with source 10 and target 1, row-2 on 2026-10-02 in group-b with source 20 and target 2, row-3 on 2026-10-03 in group-a with source 15 and target 3, and row-4 on 2026-10-04 in group-b with source 30 and target 4.

## When to prefer this

Choose this endpoint when you need both a duplicate key audit and a correlation analysis on a batch of up to 200 reconciliation records in a single low-cost call ($0.01 USDC). It is ideal for ETL validation, financial reconciliation QA, and data warehouse diffing where you supply the data directly and need fast, local computation without any external lookups or live data connections.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, source_total, target_total) cause validation errors
- Exceeding 200 rows returns an error — only up to 200 rows accepted per call
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- All-null source_total or target_total values may cause correlation report to be undefined or return NaN
- row_id values exceeding 80 characters cause validation rejection
- Numeric values outside ±1,000,000,000,000 are rejected

## How this service works

Data reconciliation — Duplicate key report + Two-measure correlation: Duplicate key report + Two-measure correlation for supplied data reconciliation records (source_total, target_total). 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 duplicate key report identifying any repeated row_id values within the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between source_total and target_total across all submitted rows. No external data is fetched; all computation is performed locally on the supplied data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "source_total",
     "target_total"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "target_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_total": 10,
     "target_total": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_total": 20,
     "target_total": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_total": 15,
     "target_total": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_total": 30,
     "target_total": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-reconciliation-duplicate-key-report-two-measure-correlation-2b20b7d0/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)