# Travel Administration — Numeric Distribution + IQR Outlier Flags

> Travel Administration — Numeric Distribution + 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 2026-10-25).

Computes numeric distribution statistics and IQR-based outlier flags for travel administration records (trip_count or recorded_cost) across up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-080?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/travel-administration-numeric-distribution-iqr-outlier-flags-3b53ffcb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Z-hA5ezpwhtah9oZxN7Zv

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 travel-administration-numeric-distribution-iqr-outlier-flags-3b53ffcb -d '<json body>'
```

Example prompt: Can you analyze the distribution of trip_count values in my travel records and flag any IQR outliers? Here are up to 200 rows with fields row_id, team_group, date, trip_count, and recorded_cost — I want the two-report breakdown.

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis (distribution + IQR outlier detection) on travel administration data specifically structured with trip_count and recorded_cost fields, with no need for live lookups or external data enrichment. Ideal for data quality checks, expense audits, or pre-reporting anomaly detection on batches up to 200 rows at very low cost ($0.01 per call for two reports).

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) causes rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Null values in the selected numeric field may affect distribution computation
- Insufficient data rows (fewer than 4) may produce unreliable IQR results
- Payment failure or insufficient USDC balance prevents processing

## How this service works

Travel administration — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags for supplied travel administration records (trip_count, recorded_cost). 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

Two independent analytical reports per call: (1) a numeric distribution summary (e.g. min, max, mean, median, quartiles) and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range — all computed locally on the supplied data for either trip_count or recorded_cost.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/travel-administration-numeric-distribution-iqr-outlier-flags-3b53ffcb/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)