# Travel Administration — Exact Row Deduplication + Keyed Dataset Comparison

> Travel Administration — Exact Row Deduplication + Keyed Dataset Comparison 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).

Deduplicates travel administration records and compares two keyed datasets by trip_count and recorded_cost, producing two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-14-053?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-exact-row-deduplication-keyed-dataset-comparison-e46b158f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pXICrxAcNYGbIPP8pdksc

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-exact-row-deduplication-keyed-dataset-comparison-e46b158f -d '<json body>'
```

Example prompt: Can you deduplicate my travel administration records and compare them against a second dataset to find mismatches in trip_count and recorded_cost? I have two sets of up to 200 rows each, organized by row_id, team_group, and date.

## When to prefer this

Choose this endpoint when you need both exact row deduplication and keyed dataset comparison for travel administration records (trip_count, recorded_cost) in a single low-cost call. It is ideal for reconciling two versions of travel data, auditing records before reporting, or cleaning up duplicate entries without requiring any live lookups or external data sources. Best suited for datasets of up to 200 rows where offline, deterministic analysis is sufficient.

## Known failure modes

- Exceeding 200 rows in either dataset returns a validation error
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) cause schema rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Empty dataset arrays (minItems:1 violated) return an error
- Numeric values outside the allowed range (±1,000,000,000,000) are rejected

## How this service works

Travel administration — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + Keyed dataset comparison 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) an exact row deduplication report identifying duplicate records in the supplied dataset based on all field values, and (2) a keyed dataset comparison report matching rows by row_id across the two supplied datasets and flagging field-level differences in trip_count and recorded_cost. No external data is fetched; all analysis is performed on the supplied rows.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "trip_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "recorded_cost": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "trip_count": 10,
     "recorded_cost": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "trip_count": 20,
     "recorded_cost": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "trip_count": 15,
     "recorded_cost": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "trip_count": 30,
     "recorded_cost": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "trip_count",
     "recorded_cost"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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",
     
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/travel-administration-exact-row-deduplication-keyed-dataset-comparison-e46b158f/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)