# Numeric Precision Comparisons — IQR Outlier Flags + Keyed Dataset Comparison

> Numeric Precision Comparisons — IQR Outlier Flags + Keyed Dataset Comparison 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 two statistical reports on supplied numeric rows: IQR-based outlier flagging and keyed dataset comparison between a primary and alternate dataset (up to 200 rows each).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-179?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-keyed-dataset-c8e2436e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zN1QAsMlhVQ-8pcBQKlpH

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-keyed-dataset-c8e2436e -d '<json body>'
```

Example prompt: Can you run IQR outlier flagging and a keyed dataset comparison on my two numeric datasets — the primary has rows like row-1 on 2026-10-01 with source_value 10 and transformed_value 1, and the alternate has the same row IDs but slightly different values — analyze the source_value field and tell me which rows are outliers and what the key-level differences are?

## When to prefer this

Choose this endpoint when you need to run both IQR outlier detection and a keyed dataset comparison in a single low-cost call on up to 200 rows of numeric data. It is ideal for data quality checks on ETL pipelines, before-and-after transformation validation, and statistical anomaly detection without requiring external data sources. It is not suitable for real-time streaming analysis, predictions, or datasets exceeding 200 rows.

## Known failure modes

- Rows array is empty or missing — returns validation error
- More than 200 rows submitted — request rejected
- source_value or transformed_value outside ±1,000,000,000,000 — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- row_id missing or exceeds 80 characters — rejected
- field enum value not 'source_value' or 'transformed_value' — validation error
- Mismatched row_ids between primary and alternate datasets may result in empty or partial comparison report

## How this service works

Numeric precision comparisons — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison 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) an IQR outlier flagging report identifying which rows fall outside the interquartile range for the selected numeric field, and (2) a keyed dataset comparison report highlighting differences between the primary and alternate datasets matched by row_id. Both reports are computed locally with no external lookups.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "transformed_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_value": 10,
     "dataset_group": "group-a",
     "transformed_value": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_value": 20,
     "dataset_group": "group-b",
     "transformed_value": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_value": 15,
     "dataset_group": "group-a",
     "transformed_value": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_value": 30,
     "dataset_group": "group-b",
     "transformed_value": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "source_value",
    "transformed_value"
   ],
   "type": "string",
   "default": "source_value"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "source_value",
     "transformed_value"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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": [
       "n
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-iqr-outlier-flags-keyed-dataset-c8e2436e/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)