# Freight Movements — Exact Row Deduplication + Numeric Row Ordering

> Freight Movements — Exact Row Deduplication + Numeric Row Ordering 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).

Deduplicates exact duplicate rows and applies numeric ordering to supplied freight movement records (tonnes_moved, journey_count) across up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-23-042?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/freight-movements-exact-row-deduplication-numeric-row-ordering-c76fe9b5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OwnVUY-SHmIqfzCqKIuql

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 freight-movements-exact-row-deduplication-numeric-row-ordering-c76fe9b5 -d '<json body>'
```

Example prompt: I have a list of freight movement records with tonnes_moved and journey_count values — can you deduplicate the exact duplicate rows and then sort them numerically by tonnes_moved? Here's my data: row-1 group-a 2026-10-01 10 tonnes 1 journey, row-2 group-b 2026-10-02 20 tonnes 2 journeys, row-3 group-a 2026-10-03 15 tonnes 3 journeys, row-4 group-b 2026-10-04 30 tonnes 4 journeys.

## When to prefer this

Choose this endpoint when you have raw freight movement tabular data (up to 200 rows) that needs exact duplicate removal and numeric ordering as a combined operation, without requiring live data lookup, prediction, or external enrichment. It is best suited for pre-processing logistics datasets before reporting or analysis, especially when both deduplication and sorting are needed together in a single low-cost call.

## Known failure modes

- Input exceeds 200 rows — request will be rejected
- Missing required fields (row_id, region, date, tonnes_moved, journey_count) cause validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Field selector not one of 'tonnes_moved' or 'journey_count' causes enum validation error
- Empty rows array (minItems:1 not met) causes rejection
- Numeric values outside allowed range (-1e12 to 1e12) cause validation failure

## How this service works

Freight movements — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering for supplied freight movements records (tonnes_moved, journey_count). 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

Two analytical reports: (1) a deduplication report identifying and removing exact duplicate rows from the supplied freight movement records, and (2) a numeric row ordering report ranking the records by the selected field (tonnes_moved or journey_count), covering up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "region",
     "date",
     "tonnes_moved",
     "journey_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "region": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "tonnes_moved": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "journey_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "region": "group-a",
     "row_id": "row-1",
     "tonnes_moved": 10,
     "journey_count": 1
    },
    {
     "date": "2026-10-02",
     "region": "group-b",
     "row_id": "row-2",
     "tonnes_moved": 20,
     "journey_count": 2
    },
    {
     "date": "2026-10-03",
     "region": "group-a",
     "row_id": "row-3",
     "tonnes_moved": 15,
     "journey_count": 3
    },
    {
     "date": "2026-10-04",
     "region": "group-b",
     "row_id": "row-4",
     "tonnes_moved": 30,
     "journey_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "tonnes_moved",
    "journey_count"
   ],
   "type": "string",
   "default": "tonnes_moved"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/freight-movements-exact-row-deduplication-numeric-row-ordering-c76fe9b5/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)