# Customer Segment Observations — IQR Outlier Flags + Two-Measure Correlation

> Customer Segment Observations — 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 2026-10-16).

Runs IQR-based outlier detection and two-measure correlation analysis on customer segment observation rows (account_count, revenue_amount) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-176?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/customer-segment-observations-iqr-outlier-flags-two-measure-correlation-712e84c9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_baZ59I1YRW2RNShxeGSjy

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 customer-segment-observations-iqr-outlier-flags-two-measure-correlation-712e84c9 -d '<json body>'
```

Example prompt: Can you analyze these customer segment rows for outliers and correlation — I have up to 50 rows with fields like row_id, company_group, date, account_count, and revenue_amount, and I want IQR outlier flags on account_count plus a two-measure correlation report between account_count and revenue_amount?

## When to prefer this

Choose this endpoint when you need both IQR-based outlier detection and two-measure correlation computed together in a single call on customer segment data (account_count, revenue_amount) for up to 200 rows, and you want two bundled reports at a low flat cost without any external data lookup or prediction.

## Known failure modes

- Rows exceed 200-item limit — request rejected
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Null values in numeric fields may affect IQR and correlation calculations
- Insufficient variance in data may yield trivial or undefined correlation

## How this service works

Customer segment observations — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation for supplied customer segment observations records (account_count, revenue_amount). 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) IQR outlier flags identifying which rows have account_count or revenue_amount values outside the interquartile range, and (2) a two-measure correlation report quantifying the statistical relationship between account_count and revenue_amount across the supplied rows. No external data is fetched; all analysis is performed locally on the submitted rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "account_count",
     "revenue_amount"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "account_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "revenue_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "account_count": 10,
     "company_group": "group-a",
     "revenue_amount": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "account_count": 20,
     "company_group": "group-b",
     "revenue_amount": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "account_count": 15,
     "company_group": "group-a",
     "revenue_amount": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "account_count": 30,
     "company_group": "group-b",
     "revenue_amount": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "account_count",
    "revenue_amount"
   ],
   "type": "string",
   "default": "account_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/customer-segment-observations-iqr-outlier-flags-two-measure-correlation-712e84c9/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)