# Travel Administration — Numeric Row Ordering + Date by Category Pivot

> Travel Administration — Numeric Row Ordering + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Generates two analytical reports from travel administration records: a numerically ordered row ranking and a date-by-category pivot, using trip_count or recorded_cost as the analysis field.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-122?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/travel-administration-numeric-row-ordering-date-by-category-pivot-46477bc4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1kqYKU-FKM64A_aijJELq

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-date-by-category-pivot-46477bc4 -d '<json body>'
```

Example prompt: I have travel records for two teams — group-a and group-b — with dates, trip counts, and recorded costs across about 50 rows. Can you run a numeric row ordering and a date-by-category pivot on the trip_count field for me?

## When to prefer this

Choose this endpoint when you need both a ranked row ordering and a date-by-category pivot on travel administration data (trip_count or recorded_cost) in a single API call for up to 200 rows. It is ideal for batch travel expense and trip reporting workflows where you supply your own data and need two complementary analytical views without any live lookup or external data enrichment.

## 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 schema validation
- Field value outside ±1,000,000,000,000 range rejected
- Empty rows array rejected (minItems: 1)
- Invalid field enum value (anything other than trip_count or recorded_cost) causes error

## How this service works

Travel administration — Numeric row ordering + Date by category pivot: Numeric row ordering + Date by category pivot 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 structured analytical reports: (1) a numerically ordered ranking of the submitted rows by the chosen field (trip_count or recorded_cost), and (2) a date-by-category pivot table cross-tabulating the chosen field values by date and team_group. Both reports are computed locally from the supplied data with no external lookups.

## 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-date-by-category-pivot-46477bc4/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)