# Travel Administration Analytics — Numeric Distribution & Missing-Value Fill

> Travel Administration Analytics — Numeric Distribution & Missing-Value Fill 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 fills missing values (zero/mean/median) for travel administration records (trip_count, recorded_cost) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-085?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-missing-value-fill-5130d5e8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TwpMVmX-BaEIwm-VQHMw1

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-missing-value-fill-5130d5e8 -d '<json body>'
```

Example prompt: Can you analyze the distribution of trip_count values and fill any missing recorded_cost entries using median imputation for these travel records? I have up to 50 rows with fields like row_id, team_group, date, trip_count, and recorded_cost.

## When to prefer this

Choose this endpoint when you have tabular travel administration data with trip_count and/or recorded_cost fields and need both a distribution summary and missing-value imputation in a single call. Ideal for data quality pipelines, travel expense audits, or analytics preprocessing steps where you want offline statistical analysis without live lookups or external data enrichment.

## Known failure modes

- Exceeds 200-row limit — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, team_group, date) result in error
- Numeric values outside ±1,000,000,000,000 boundary cause validation error
- Invalid method enum value (not zero/mean/median) causes rejection
- Invalid field enum value (not trip_count/recorded_cost) causes rejection
- Empty rows array (minItems:1 violation) returns error

## How this service works

Travel administration — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill 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 specified field (trip_count or recorded_cost) covering measures like min, max, mean, median, and spread across up to 200 rows; and (2) a missing-value fill report showing which rows had nulls and what replacement values (zero, mean, or median) were applied.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/travel-administration-analytics-numeric-distribution-missing-value-fill-5130d5e8/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)