# Numeric Precision Comparisons — Distribution & Frequency Analytics

> Numeric Precision Comparisons — Distribution & Frequency 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).

Analyzes up to 200 rows of numeric precision comparison pairs (source_value vs transformed_value) by generating two local statistical reports: numeric distribution and category frequencies.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-072?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-frequency-analytics-f18f6c72
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_j37ah9OlmOgxT-pfTkFg4

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-frequency-analytics-f18f6c72 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and category frequency analysis on these precision comparison records — I have pairs of source_value and transformed_value across groups 'group-a' and 'group-b' with dates in October 2026, up to 200 rows — and analyze the source_value field?

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis of numeric precision comparison pairs without any external data lookups or predictions. Ideal when you have source-to-transformed value pairs grouped by category and want both a distribution report and frequency breakdown in one call for a flat fee of $0.01 USDC covering both reports.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause validation errors
- Invalid date format (must be YYYY-MM-DD) triggers schema rejection
- Numeric values outside the ±1,000,000,000,000 range are rejected
- Empty rows array causes failure
- Invalid field enum value (not 'source_value' or 'transformed_value') causes error
- Payment of 0.01 USDC not settled causes 402 response

## How this service works

Numeric precision comparisons — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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 numeric distribution report showing spread, percentiles, and statistical characteristics of the selected field (source_value or transformed_value), and (2) a category frequency report showing how values are distributed across dataset_group categories — all computed locally without external lookups, for up to 200 input rows.

## 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-frequency-analytics-f18f6c72/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)