# Travel Administration — Grouped Numeric Summary + Adjacent Row Changes

> Travel Administration — Grouped Numeric Summary + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Runs two local analytical reports on travel administration records: a grouped numeric summary (aggregated by team_group) and an adjacent row change analysis for trip_count or recorded_cost.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-091?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/travel-administration-grouped-numeric-summary-adjacent-row-changes-7a2114f1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9qnLvom1Hyii8x708wVpC

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-grouped-numeric-summary-adjacent-row-changes-7a2114f1 -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and adjacent row change report on my travel admin data? I have trip_count and recorded_cost by team_group across dates — here are up to 200 rows, and I want the analysis focused on trip_count.

## When to prefer this

Choose this endpoint when you have tabular travel administration records (up to 200 rows) and need both a group-level numeric summary and a row-to-row change analysis in a single low-cost call. It is ideal for offline/batch analytics on already-collected data where no live data enrichment, prediction, or external lookup is needed. At $0.01 USDC for two reports, it is cost-effective for routine operational reporting on team travel metrics.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in both numeric fields may produce incomplete summaries
- Incorrect field enum value (not 'trip_count' or 'recorded_cost') causes error

## How this service works

Travel administration — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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 reports: (1) a grouped numeric summary aggregating the selected field (trip_count or recorded_cost) by team_group, including statistics like totals or means per group; and (2) an adjacent row changes report showing the delta of the selected field between consecutive rows in the supplied dataset. Both reports operate entirely on 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-grouped-numeric-summary-adjacent-row-changes-7a2114f1/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)
