# Travel Administration Analytics — Numeric Distribution & Category Frequencies

> Travel Administration Analytics — Numeric Distribution & Category Frequencies 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).

Computes numeric distribution statistics and category frequency counts for travel administration records (trip_count, recorded_cost) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-072?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-analytics-numeric-distribution-category-21c24c4d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JSZBOhMHhqe133E-xcNjN

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-analytics-numeric-distribution-category-21c24c4d -d '<json body>'
```

Example prompt: Can you analyze the distribution of trip_count across these travel records and also give me the category frequencies by team_group? I have 4 rows: row-1 (group-a, 2026-10-01, trip_count 10, recorded_cost 1), row-2 (group-b, 2026-10-02, trip_count 20, recorded_cost 2), row-3 (group-a, 2026-10-03, trip_count 15, recorded_cost 3), row-4 (group-b, 2026-10-04, trip_count 30, recorded_cost 4).

## When to prefer this

Use this endpoint when you need fast, local statistical profiling of travel administration data — specifically numeric distribution and category frequency analysis — on a batch of up to 200 records without requiring live data lookup, external integrations, or predictive modeling. It is ideal for pre-report auditing, data quality checks, or summarizing team-level travel patterns from structured records.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) causes request rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside the allowed range cause rejection
- Empty rows array is not accepted (minItems: 1)

## How this service works

Travel administration — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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) a numeric distribution summary for the selected field (trip_count or recorded_cost), including statistical measures such as min, max, mean, median, and spread; and (2) category frequency counts showing how often each value in team_group appears across 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-analytics-numeric-distribution-category-21c24c4d/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)