# Data Reconciliation — Record Quality Audit + Duplicate Key Report

> Data Reconciliation — Record Quality Audit + Duplicate Key Report 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).

Audits record quality and detects duplicate keys in supplied data reconciliation rows (up to 200), returning two independent analytical reports comparing source and target totals.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-003?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-record-quality-audit-duplicate-key-report-303ed3d6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Q186uAEkdtJDHo6ercE-M

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-record-quality-audit-duplicate-key-report-303ed3d6 -d '<json body>'
```

Example prompt: Can you run a record quality audit and duplicate key report on my reconciliation data? I have rows with IDs like 'row-1' through 'row-50', dates from 2026-10-01 to 2026-11-19, grouped into 'group-a' and 'group-b', with source totals and target totals for each — up to 50 rows total.

## When to prefer this

Choose this endpoint when you need both a record quality audit and a duplicate key detection report on reconciliation data in a single $0.01 call. It is ideal for batch validation of up to 200 rows of source/target total pairs without requiring any live external lookups. Prefer this over general-purpose data profiling tools when your use case is specifically data reconciliation between a source and target system and you want two focused reports (quality + duplicates) rather than a broad analytical suite.

## Known failure modes

- Exceeding 200 rows results in a validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) per row causes rejection
- Malformed date format (not YYYY-MM-DD) triggers a schema validation error
- source_total or target_total values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems: 1 violated) returns an error
- Payment of 0.01 USDC not received results in 402 Payment Required

## How this service works

Data reconciliation — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report 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 record quality audit highlighting data issues such as nulls, out-of-range values, or formatting problems across the supplied rows, and (2) a duplicate key report identifying any duplicate row_id values within the dataset. Both reports are computed locally using analytical engines on up to 200 supplied rows, with no external lookups or predictions.

## 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-record-quality-audit-duplicate-key-report-303ed3d6/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)