# Numeric Precision Comparisons — Exact Row Deduplication + Grouped Numeric Summary

> Numeric Precision Comparisons — Exact Row Deduplication + 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).

Deduplicates rows and produces grouped numeric summaries for supplied source_value/transformed_value pairs, running two local analytical reports on up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-040?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-exact-row-deduplication-grouped-numeric-4704689f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IsjeFBsYB-Nnc6YAlf5-0

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-exact-row-deduplication-grouped-numeric-4704689f -d '<json body>'
```

Example prompt: I have up to 200 rows of source and transformed numeric values across a few dataset groups — can you deduplicate the rows exactly and give me a grouped numeric summary report for the source_value field? Here's the data: row-1, group-a, 2026-10-01, source_value=10, transformed_value=1; row-2, group-b, 2026-10-02, source_value=20, transformed_value=2; row-3, group-a, 2026-10-03, source_value=15, transformed_value=3.

## When to prefer this

Choose this endpoint when you need both exact row deduplication AND grouped numeric summary statistics in a single call on a dataset of up to 200 rows with source/transformed numeric value pairs. It is ideal for data quality checks on ETL outputs, audit workflows, or A/B test result analysis where you want two reports for one low-cost payment. Prefer this over general analytics tools when your data fits the row_id/dataset_group/date/source_value/transformed_value schema and you need offline, deterministic computation with no external dependencies.

## Known failure modes

- Exceeds 200-row limit — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, source_value or transformed_value) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Empty rows array — minimum 1 item not met
- Invalid field selector (not 'source_value' or 'transformed_value') — enum validation error

## How this service works

Numeric precision comparisons — Exact row deduplication + Grouped numeric summary: Exact row deduplication + 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

Returns two independent analytical reports: (1) a deduplicated set of rows with exact duplicates removed, and (2) a grouped numeric summary (e.g. count, sum, mean, min, max) computed per dataset_group for the selected field (source_value or transformed_value). Both reports are 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-exact-row-deduplication-grouped-numeric-4704689f/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)