# Schema Conformity — Exact Row Deduplication + Duplicate Key Report

> Schema Conformity — Exact Row Deduplication + 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 2026-10-18).

Deduplicates exact rows and generates a duplicate key report for schema conformity records (valid_records, checked_records) across up to 200 rows using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-038?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-exact-row-deduplication-duplicate-key-report-4410df06
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6vvkJLVRX-ZzCqM1o5GL2

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 schema-conformity-exact-row-deduplication-duplicate-key-report-4410df06 -d '<json body>'
```

Example prompt: Can you deduplicate these schema conformity rows and give me a duplicate key report? I have records with row_ids like 'row-1' through 'row-50' across dataset groups 'group-a' and 'group-b' with valid_records and checked_records values for dates in October 2026 — up to 40 rows total.

## When to prefer this

Use this endpoint when you have up to 200 schema conformity records (valid_records, checked_records) and need both an exact row deduplication pass and a structured duplicate key report in a single low-cost call ($0.01 USDC). Prefer it over generic deduplication tools when your data follows the specific schema conformity domain with dataset_group and date dimensions, and you need two simultaneous analytical reports without external lookups or live data access.

## Known failure modes

- Input exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, valid_records, checked_records) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems: 1 violated) returns error

## How this service works

Schema conformity — Exact row deduplication + Duplicate key report: Exact row deduplication + Duplicate key report for supplied schema conformity records (valid_records, checked_records). 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) an exact row deduplication result identifying and removing fully identical rows from the input, and (2) a duplicate key report identifying rows that share the same key fields (row_id, dataset_group, date) across valid_records and checked_records schema conformity data — all computed locally without any external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "valid_records",
     "checked_records"
    ],
    "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
     },
     "valid_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "checked_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "valid_records": 10,
     "checked_records": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "valid_records": 20,
     "checked_records": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "valid_records": 15,
     "checked_records": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "valid_records": 30,
     "checked_records": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-exact-row-deduplication-duplicate-key-report-4410df06/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)