# Numeric Precision Comparisons — Distribution & Grouped Summary Analytics

> Numeric Precision Comparisons — Distribution & Grouped Summary Analytics 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).

Generates two local analytical reports (numeric distribution and grouped numeric summary) for up to 200 rows of source/transformed numeric comparison data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-071?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-distribution-grouped-summary-analytics-4736f203
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ffxWOhj4EoHuDFmaFAY2i

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-distribution-grouped-summary-analytics-4736f203 -d '<json body>'
```

Example prompt: I have 150 rows of precision comparison data with source_value and transformed_value fields across two groups — can you run a numeric distribution report plus a grouped numeric summary on the source_value field for me?

## When to prefer this

Choose this endpoint when you need both a numeric distribution profile and a grouped aggregate summary from a single batch of precision comparison records (source vs. transformed values) in one low-cost call. Ideal for ETL validation, data quality checks, and transformation audits where you already have the data locally and need two complementary analytical views without external data enrichment or prediction.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Values outside ±1,000,000,000,000 are rejected by schema
- Empty rows array returns an error
- Invalid field enum value (not 'source_value' or 'transformed_value') causes rejection
- Payment of 0.01 USDC not completed — endpoint returns 402

## How this service works

Numeric precision comparisons — Numeric distribution + Grouped numeric summary: Numeric distribution + 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 analytical reports: (1) a numeric distribution breakdown showing spread, percentiles, and frequency characteristics of the selected field; and (2) a grouped numeric summary aggregating statistics (count, mean, min, max, etc.) by dataset_group. Both reports are computed locally from the supplied rows without any external lookup.

## 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-distribution-grouped-summary-analytics-4736f203/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)