# Numeric Precision Comparisons — Grouped Summary & Keyed Dataset Comparison

> Numeric Precision Comparisons — Grouped Summary & 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 2026-10-15).

Computes grouped numeric statistics and row-keyed comparison reports for source vs. transformed value pairs across up to 200 records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-098?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-grouped-summary-keyed-dataset-comparison-16c27efc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Am_ZwaiYfoHNcc5u2A62X

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-grouped-summary-keyed-dataset-comparison-16c27efc -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and keyed comparison on these two datasets — both have up to 40 rows with row_id, dataset_group, date, source_value, and transformed_value — and analyze the source_value field to show me where the numbers diverge between the two sets?

## When to prefer this

Choose this endpoint when you need to locally analyze numeric precision differences between a source and a transformed dataset in a grouped, auditable way — especially for ETL validation, model output comparison, or data transformation QA. It delivers two bundled analytical reports (grouped summary + keyed comparison) for $0.01 USDC, making it cost-effective for batch validation up to 200 rows. Prefer this over general-purpose analytics tools when you already have structured row data with group labels and want deterministic, offline computation with no external data dependencies.

## Known failure modes

- Exceeds 200-row limit — request rejected with validation error
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause schema validation failure
- Mismatched row_ids between primary and secondary datasets may result in unmatched rows in the comparison report
- Null values in source_value or transformed_value are accepted but may affect aggregate statistics
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Values outside ±1,000,000,000,000 range are rejected

## How this service works

Numeric precision comparisons — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison 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 grouped numeric summary aggregating statistics (e.g. mean, min, max, count) per dataset_group for the selected field, and (2) a keyed dataset comparison report matching rows by row_id across the primary and secondary datasets to surface per-row and aggregate differences. No external lookups or predictions are made; all computation is local.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-grouped-summary-keyed-dataset-comparison-16c27efc/health.json
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