# Travel Administration — Numeric Interval Filter + Two-Measure Correlation

> Travel Administration — Numeric Interval Filter + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Filters travel administration records by a numeric interval and computes a two-measure correlation between trip_count and recorded_cost for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-131?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/travel-administration-numeric-interval-filter-two-measure-correlation-8c4f1330
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sKA-MROiaA0kv3a1krhft

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-two-measure-correlation-8c4f1330 -d '<json body>'
```

Example prompt: Can you analyze my travel administration records — I have rows with trip counts and recorded costs per team group — and filter to only rows where trip_count is between 5 and 75, then also run a correlation between trip_count and recorded_cost across all the data?

## When to prefer this

Choose this endpoint when you need both a numeric range filter AND a two-measure correlation on travel administration records (trip_count, recorded_cost) in a single low-cost call. It is ideal for corporate travel analysts who want to isolate records within a cost or trip-count band and simultaneously quantify the linear relationship between volume and cost. Prefer alternatives if you need more than two measures correlated, more than 200 rows processed, live data lookups, or prediction capabilities.

## Known failure modes

- Input rows array is empty or exceeds 200 items — validation error returned
- minimum value is greater than maximum value — may return empty filter results or error
- trip_count or recorded_cost contains null values — may reduce correlation sample size or return null correlation
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field enum value not recognized — request rejected

## How this service works

Travel administration — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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 filtered subset of the input rows where the specified field (trip_count or recorded_cost) falls within the given minimum–maximum interval, and (2) a correlation statistic between trip_count and recorded_cost across the supplied rows. Both reports are computed 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"
  },
  "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-two-measure-correlation-8c4f1330/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)