# Travel Administration Data Quality & Analytics (Record Audit + String Normalisation + Trailing Mean)

> Travel Administration Data Quality & Analytics (Record Audit + String Normalisation + Trailing Mean) is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Runs three local analytical reports on travel administration records: record quality audit, string normalisation, and trailing mean series for trip_count or recorded_cost fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-199?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/travel-administration-data-quality-analytics-record-audit-string-b761a482
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_57F5fgjBU0b_lGp8E67Do

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-data-quality-analytics-record-audit-string-b761a482 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and trailing mean series (window size 3) on my travel data for the 'trip_count' field? Here are the rows: row-1, group-a, 2026-10-01, 10 trips, $1 cost; row-2, group-b, 2026-10-02, 20 trips, $2 cost; row-3, group-a, 2026-10-03, 15 trips, $3 cost.

## When to prefer this

Choose this endpoint when you need three combined analytical passes — quality audit, string normalisation, and rolling mean — on up to 200 travel administration records in a single $0.01 call, with no need for external data enrichment, live lookups, or AI-generated predictions. Ideal for pre-reporting data hygiene and trend smoothing on travel cost or trip count datasets.

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied returns a validation error
- Window size larger than the number of rows causes trailing mean to fail or return partial results
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Missing required fields (row_id, date, trip_count, recorded_cost) cause row rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Payment not included or insufficient causes HTTP 402 response

## How this service works

Travel administration — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied travel administration records (trip_count, recorded_cost). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit flagging completeness and consistency issues across the supplied rows, (2) normalised string values for team_group and other text fields, and (3) a trailing mean series for the selected numeric field (trip_count or recorded_cost) computed over the specified window. All reports are generated 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/travel-administration-data-quality-analytics-record-audit-string-b761a482/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)