# Numeric Precision Comparisons — IQR Outlier Flags + Two-Measure Correlation

> Numeric Precision Comparisons — IQR Outlier Flags + Two-Measure Correlation 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).

Runs IQR-based outlier detection and Pearson/Spearman correlation analysis on supplied source_value vs transformed_value pairs, returning two independent statistical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-176?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-iqr-outlier-flags-two-measure-correlation-1888eb93
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DnhUcLijANn3mU5XI0mtd

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-iqr-outlier-flags-two-measure-correlation-1888eb93 -d '<json body>'
```

Example prompt: Can you check my dataset for outliers and run a correlation analysis? I have up to 50 rows with a source_value and transformed_value per row — flag which rows are IQR outliers and tell me how correlated the two measures are.

## When to prefer this

Choose this endpoint when you need a fast, local, self-contained statistical check on a small-to-medium numeric dataset (up to 200 rows) with paired source and transformed values. Ideal for data pipeline validation, ETL auditing, or preprocessing checks where you want both outlier flagging and correlation in a single $0.01 call. Not suitable for large datasets, real-time streaming data, predictive modeling, or when you need external data lookup.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum batch limit
- source_value or transformed_value outside allowed range [-1e12, 1e12]
- Invalid date format — must match YYYY-MM-DD pattern
- row_id missing or empty — required field not provided
- All null values in selected field — IQR computation not possible
- Payment not processed — x402 payment required at $0.01 USDC

## How this service works

Numeric precision comparisons — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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 statistical reports: (1) IQR outlier flags identifying which rows fall outside the interquartile range bounds for the selected field, and (2) a correlation report quantifying the relationship between source_value and transformed_value across all supplied rows. Up to 200 rows processed per call.

## 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-iqr-outlier-flags-two-measure-correlation-1888eb93/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)