# Travel Administration Analytics — Category Frequencies & Two-Measure Correlation

> Travel Administration Analytics — Category Frequencies & 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 2026-10-30).

Computes category-level frequency counts and Pearson/rank correlation between trip_count and recorded_cost for up to 200 travel administration records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-108?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/travel-administration-analytics-category-frequencies-two-measure-71d47350
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4eswjaHM8p1pTBLA5SFoz

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-category-frequencies-two-measure-71d47350 -d '<json body>'
```

Example prompt: Can you analyze these travel admin records — I've got up to 200 rows with team_group, date, trip_count, and recorded_cost — and give me both the category frequency breakdown by group and a correlation report showing how trip count relates to recorded cost?

## When to prefer this

Choose this endpoint when you need both a categorical frequency breakdown and a two-measure correlation analysis on travel administration data in a single $0.01 call. It is ideal for batch offline analysis of up to 200 records where no live data enrichment, prediction, or external lookup is required. Prefer it over general analytics services when your data already conforms to the travel admin schema (trip_count, recorded_cost, team_group) and you want lightweight, local computation without latency overhead.

## Known failure modes

- Fewer than 1 row supplied — validation error
- Row count exceeds 200 — request rejected
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) — schema validation failure
- Date field not matching YYYY-MM-DD pattern — format error
- Null values in trip_count or recorded_cost may reduce correlation sample size
- Constant values in one measure make correlation undefined (NaN result)

## How this service works

Travel administration — Category frequencies + Two-measure correlation: Category frequencies + 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 independent analytical reports: (1) a category frequency table showing how often each team_group value appears across the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between trip_count and recorded_cost across all 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/travel-administration-analytics-category-frequencies-two-measure-71d47350/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)