# Numeric Precision Comparisons — Numeric Distribution + Equal-Width Histogram

> Numeric Precision Comparisons — Numeric Distribution + Equal-Width Histogram 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 — a numeric distribution summary and an equal-width histogram — for up to 200 rows of source_value vs. transformed_value numeric precision comparison data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-079?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-numeric-distribution-equal-width-4a3b0139
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UIGx4f2arIIDJ1f03tBP7

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-numeric-distribution-equal-width-4a3b0139 -d '<json body>'
```

Example prompt: Can you run a numeric distribution report and equal-width histogram with 10 bins on my source_value field for these 150 rows of precision comparison records — each row has a row_id, dataset_group, date, source_value, and transformed_value?

## When to prefer this

Choose this endpoint when you need both a numeric distribution summary and a histogram in a single call for a paired source/transformed numeric dataset of up to 200 rows. It is especially useful for data quality auditing, ETL validation, and precision comparison workflows where you want to understand how values are spread and binned without any external lookup or prediction. Prefer this over single-report endpoints when you need both a distribution profile and a histogram simultaneously at low cost.

## Known failure modes

- Rows array is empty or exceeds 200 items — validation error returned
- Invalid date format (not YYYY-MM-DD) on any row — schema validation failure
- Numeric values out of allowed range (-1e12 to 1e12) — rejected at input validation
- Bins value outside 1–30 range — clamped or error depending on implementation
- All values are null in the selected field — distribution may be empty or report a zero-count result
- Invalid field enum value (not source_value or transformed_value) — schema error

## How this service works

Numeric precision comparisons — Numeric distribution + Equal-width histogram: Numeric distribution + Equal-width histogram 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 computed locally: (1) a numeric distribution summary (e.g. mean, median, min, max, std dev, count) and (2) an equal-width histogram with configurable bin counts (1–30 bins), both computed over the selected field (source_value or transformed_value) across the submitted rows. No external lookups or predictions are made.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-numeric-distribution-equal-width-4a3b0139/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)