# Data Validation Results - Keyed Dataset Comparison

> Data Validation Results - Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Compares two keyed datasets of data validation results (checked and failed records per rule per date) and returns a descriptive analytics comparison report.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-compare?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-validation-results-keyed-dataset-comparison-07cafd0d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XJrC70ONvI00tUO_RTKo1

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-validation-results-keyed-dataset-comparison-07cafd0d -d '<json body>'
```

Example prompt: Compare these two sets of data validation results for me — the first dataset has rows for rule 'null-check' on 2026-10-01 with 500 checked and 12 failed, and the second has the same row but with 500 checked and 25 failed. Tell me how the failure rates differ across all matching rows.

## When to prefer this

Choose this endpoint when you need a structured, keyed side-by-side comparison of two data validation result sets — especially when rows are identified by rule and date keys and you want descriptive analytics on where failure counts or checked record counts differ. Prefer this over generic diff tools when your data is typed validation records (checked/failed counts per rule), and over time-series endpoints when the goal is cross-dataset comparison rather than trend analysis.

## Known failure modes

- Empty or mismatched row_id keys between datasets causing no comparable rows
- Rows array below minimum of 1 item returns validation error
- More than 200 rows in either dataset exceeds the maxItems limit
- Invalid date format not matching YYYY-MM-DD pattern causes rejection
- Non-numeric or out-of-range values for checked_records or failed_records
- Payment failure or insufficient USDC balance preventing API access

## How this service works

Data validation results - Keyed dataset comparison: Keyed dataset comparison for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded keyed dataset comparison report.

## Output

A structured comparison report of two keyed datasets of validation results, showing differences in checked_records and failed_records per row_id and rule, with descriptive analytics summarizing where and how the two datasets diverge. No external enrichment or forecasting is included.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-validation-results-keyed-dataset-comparison-07cafd0d/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)