# Numeric Precision Comparisons — Equal-Width Histogram + IQR Outlier Flags

> Numeric Precision Comparisons — Equal-Width Histogram + IQR Outlier Flags 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 equal-width histogram distributions and IQR-based outlier flags for numeric precision comparison records (source_value vs transformed_value) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-170?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-iqr-outlier-flags-16b30af8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EhF8xNGsR_DyF_Pe8xqsz

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-iqr-outlier-flags-16b30af8 -d '<json body>'
```

Example prompt: Can you run an equal-width histogram with 10 bins and IQR outlier flags on my numeric precision comparison data — here are up to 50 rows with source_value and transformed_value fields, grouped by dataset_group — 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 (source vs transformed values) without any external data lookups or model inference. It is ideal for data engineers auditing ETL pipelines, validating transformation correctness, or detecting outliers in batch numeric records. Prefer it over general-purpose statistical tools when you need both a histogram and IQR outlier flags delivered together in a single lightweight call for up to 200 rows at minimal cost.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) causes rejection
- bins value outside 1–30 range causes validation error
- Numeric values outside ±1,000,000,000,000 range rejected
- All null source_value or transformed_value entries may produce degenerate histogram output
- Payment of 0.01 USDC not included or rejected causes 402 response

## How this service works

Numeric precision comparisons — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags 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 for the submitted numeric comparison records: (1) an equal-width histogram showing bin ranges and row counts across the selected field (source_value or transformed_value), and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range boundaries. Both reports are computed locally with no external lookups.

## 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-iqr-outlier-flags-16b30af8/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)