# Travel Administration — Numeric Row Ordering + IQR Outlier Flags

> Travel Administration — Numeric Row Ordering + 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).

Sorts travel administration records by a numeric field and flags statistical outliers using the interquartile range (IQR) method, delivering two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-119?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-row-ordering-iqr-outlier-flags-47cdebcc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zxIjzBFm0pSQCXSDBn9Fj

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-row-ordering-iqr-outlier-flags-47cdebcc -d '<json body>'
```

Example prompt: Sort my travel administration records by trip_count and flag any IQR outliers — here are up to 200 rows with row IDs, team groups, dates, trip counts, and recorded costs. I need both the ordered ranking and the outlier flags in the output.

## When to prefer this

Choose this endpoint when you have travel administration data (trip counts, recorded costs) and need both a numerically sorted ranking and IQR-based statistical outlier detection in a single call. Ideal for batch auditing up to 200 travel records offline without any external lookups or live data dependencies. Prefer this over general analytics tools when your data is already structured with row_id, team_group, date, trip_count, and recorded_cost fields and you want two ready-made reports at low cost.

## Known failure modes

- Input array is empty or missing required fields (row_id, date, trip_count, recorded_cost) — returns validation error
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (must match YYYY-MM-DD pattern) — rejected by schema validation
- Numeric fields contain values outside the ±1,000,000,000,000 bounds — rejected
- Insufficient data points for meaningful IQR calculation (e.g., only 1-3 rows) — outlier report may be trivial or undefined

## How this service works

Travel administration — Numeric row ordering + IQR outlier flags: Numeric row ordering + 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

Returns two analytical reports: (1) rows sorted in numeric order by the selected field (trip_count or recorded_cost), and (2) IQR-based outlier flags identifying which rows have values statistically far from the interquartile range. No external data is used — analysis is performed entirely on the supplied rows.

## 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-row-ordering-iqr-outlier-flags-47cdebcc/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)