# Travel Administration Analytics — Category Frequencies & Trailing Mean Series

> Travel Administration Analytics — Category Frequencies & Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Computes category frequency distributions and trailing moving-average series for travel administration records (trip_count or recorded_cost) from up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-103?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/travel-administration-analytics-category-frequencies-trailing-mean-93c02a0a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bZ_gvjx5HK1fytYw7lKHq

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-category-frequencies-trailing-mean-93c02a0a -d '<json body>'
```

Example prompt: Analyze my travel administration records — here are up to 200 rows with row_id, team_group, date, trip_count, and recorded_cost — give me a category frequency breakdown by team_group and a trailing mean series for trip_count using a window of 4.

## When to prefer this

Choose this endpoint when you need two complementary offline analytical reports on travel administration records in a single call: a categorical frequency distribution by team_group and a smoothed time-series via trailing moving average. It is ideal for batch analysis of up to 200 rows of structured travel data without needing any external data sources, predictions, or live lookups. Prefer this over generic analytics tools when your data already conforms to the travel administration schema (trip_count, recorded_cost, team_group, date).

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum batch size
- Window size larger than number of rows — trailing mean cannot be computed
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) in any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Numeric fields outside allowed range (-1e12 to 1e12) — rejected
- Invalid field enum value (must be 'trip_count' or 'recorded_cost')

## How this service works

Travel administration — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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 category frequency table showing how often each team_group value appears across the supplied rows, and (2) a trailing moving-average series for the selected numeric field (trip_count or recorded_cost) computed over the specified window size. Both reports are derived entirely from the submitted 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/travel-administration-analytics-category-frequencies-trailing-mean-93c02a0a/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)