# Numeric Precision Comparisons — Equal-Width Histogram + Date by Category Pivot

> Numeric Precision Comparisons — Equal-Width Histogram + Date by Category Pivot 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 (equal-width histogram and date-by-category pivot) for supplied numeric precision comparison data (source_value vs transformed_value) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-173?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-equal-width-histogram-date-by-category-d82dbb2a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4SzQTh8cVnFwnTxTxyzjR

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-equal-width-histogram-date-by-category-d82dbb2a -d '<json body>'
```

Example prompt: I have 4 rows of numeric precision comparison data — source values 10, 20, 15, 30 paired with transformed values 1, 2, 3, 4, grouped as group-a and group-b from dates 2026-10-01 to 2026-10-04. Can you run an equal-width histogram with 5 bins on the source_value field, plus a date-by-category pivot, and give me both reports?

## When to prefer this

Choose this endpoint when you have tabular numeric comparison data (source vs transformed values) segmented by group and date, and need both a frequency distribution histogram and a date-by-category pivot in a single low-cost call. Ideal for ETL validation, data transformation audits, or any scenario where you want to understand the distribution and temporal/categorical breakdown of numeric precision differences without external dependencies. At $0.01 USDC for two reports on up to 200 rows, it's highly cost-effective for batch analytical passes.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required row fields (row_id, dataset_group, date, source_value, transformed_value) — schema validation failure
- bins value outside 1–30 range — rejected by schema
- source_value or transformed_value outside ±1,000,000,000,000 — rejected by schema
- Empty rows array — minimum 1 item required

## How this service works

Numeric precision comparisons — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot 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 from the supplied data: (1) an equal-width histogram showing bin ranges and row counts for the chosen field (source_value or transformed_value) across up to 30 bins, and (2) a date-by-category pivot summarizing numeric values grouped by date and dataset_group — all without any external lookup or prediction.

## 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-equal-width-histogram-date-by-category-d82dbb2a/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)