# Numeric Precision Comparisons — Duplicate Key Report + Grouped Numeric Summary

> Numeric Precision Comparisons — Duplicate Key Report + Grouped Numeric Summary 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).

Runs two local analytical reports on supplied numeric precision comparison rows: a duplicate key report and a grouped numeric summary, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-056?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/numeric-precision-comparisons-duplicate-key-report-grouped-numeric-216c5f8e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0PACYgQleDRNvq6_lL3Di

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 numeric-precision-comparisons-duplicate-key-report-grouped-numeric-216c5f8e -d '<json body>'
```

Example prompt: Run a duplicate key report and grouped numeric summary on these rows: row-1 (group-a, 2026-10-01, source=10, transformed=1), row-2 (group-b, 2026-10-02, source=20, transformed=2), row-3 (group-a, 2026-10-03, source=15, transformed=3) — use source_value as the target field.

## When to prefer this

Choose this endpoint when you have up to 200 rows of numeric precision comparison data (source vs transformed values) and need both a duplicate key audit and a grouped numeric summary in a single call, without requiring any external data sources, predictions, or live lookups. It is ideal for data quality checks in ETL pipelines, transformation validation workflows, or batch audits of numeric datasets grouped by category.

## Known failure modes

- Empty or malformed rows array returns a validation error
- Row count exceeding 200 items is rejected
- Invalid date format (non YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Missing required fields (row_id, dataset_group, date) cause item-level errors
- Invalid field enum value (not source_value or transformed_value) returns an error

## How this service works

Numeric precision comparisons — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary for supplied numeric precision comparisons records (source_value, transformed_value). 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

Two independent analytical reports: (1) a duplicate key report identifying any row_id values that appear more than once in the supplied data, and (2) a grouped numeric summary aggregating the selected numeric field (source_value or transformed_value) broken down by dataset_group — all computed locally with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-duplicate-key-report-grouped-numeric-216c5f8e/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)