# Travel Administration — Daily Sum Series + Trailing Mean Series

> Travel Administration — Daily Sum Series + 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 2026-10-26).

Computes a daily sum time series and a trailing moving average series for travel administration records (trip_count or recorded_cost) supplied by the caller.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-136?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-daily-sum-series-trailing-mean-series-d39d570e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nIv-vG4rbgFwULXo0tg_d

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-daily-sum-series-trailing-mean-series-d39d570e -d '<json body>'
```

Example prompt: Can you compute the daily sum series and trailing mean series (window of 7) for the recorded_cost field in my travel administration data? Here are my rows with dates, team groups, trip counts, and recorded costs for up to 200 records.

## When to prefer this

Choose this endpoint when you have already-collected travel administration records (up to 200 rows) and need two standard time series reports — a daily sum and a trailing moving average — computed locally without any external data fetch, live pricing lookup, or professional assessment. It is ideal for lightweight batch analytics on corporate travel data where cost is a priority ($0.01 for both reports together) and no stateful storage or side effects are needed.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maxItems limit exceeded
- Invalid date format (must be YYYY-MM-DD pattern)
- Field value not in enum ['trip_count','recorded_cost'] — rejected
- Window size below 2 or above 200 — out of range
- row_id missing or empty string — required field
- Null numeric values may affect aggregation output depending on implementation
- Malformed row objects with extra properties rejected due to additionalProperties:false

## How this service works

Travel administration — Daily sum series + Trailing mean series: Daily sum series + 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 independent analytical report series: (1) a daily sum series showing the total of the selected field (trip_count or recorded_cost) aggregated by date, and (2) a trailing mean series showing the rolling window average of the same field over the specified window size. Both reports are computed from the caller-supplied rows (up to 200 records) using local analytical engines with no external data 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-daily-sum-series-trailing-mean-series-d39d570e/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)