# Travel Administration — Numeric Interval Filter + Explicit Missing-Value Fill

> Travel Administration — Numeric Interval Filter + Explicit 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 2026-10-28).

Filters travel administration rows (trip_count or recorded_cost) to a specified numeric interval and fills missing values using zero, mean, or median imputation, returning up to 2 reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-135?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/travel-administration-numeric-interval-filter-explicit-missing-value-44851f41
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CJQwAo8OFH0cxEzYz3kYM

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-numeric-interval-filter-explicit-missing-value-44851f41 -d '<json body>'
```

Example prompt: Filter my travel administration records so that trip_count stays between 5 and 50, and fill any missing trip_count values using median imputation — I have about 120 rows with fields like row_id, team_group, date, trip_count, and recorded_cost.

## When to prefer this

Choose this endpoint when you need to simultaneously apply numeric range filtering and missing-value imputation to travel administration data (trip_count or recorded_cost) in a single low-cost call. It is ideal for data cleaning pipelines where you want to bound outliers and handle nulls before downstream reporting, and when your dataset is 200 rows or fewer and you do not need live data lookups or predictive analytics.

## Known failure modes

- Input rows array is empty or missing — returns validation error
- More than 200 rows supplied — request rejected
- Invalid date format in rows — schema validation failure
- Minimum value exceeds maximum value — may produce empty filtered result set
- Field or method enum value not recognized — schema validation error
- All values for chosen field are null — mean/median imputation may return zero or undefined

## How this service works

Travel administration — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + 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 up to 2 analytical reports covering: (1) rows filtered to the specified numeric interval for the chosen field (trip_count or recorded_cost), and (2) the dataset with missing values in the chosen field explicitly filled using the selected method (zero, mean, or median). Results are based entirely on the supplied input rows 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/travel-administration-numeric-interval-filter-explicit-missing-value-44851f41/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)