# Cloud Usage Imports — Exact Row Duplicates Validator

> Cloud Usage Imports — Exact Row Duplicates Validator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).

Validates a cloud usage import CSV file and returns a report of exact row duplicates, up to 1000 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-csv-cloud-usage-duplicate-rows?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/cloud-usage-imports-exact-row-duplicates-validator-84c1fa5a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ki4JC10lkp1Sgtl-R4-bp

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 cloud-usage-imports-exact-row-duplicates-validator-84c1fa5a -d '<json body>'
```

Example prompt: Can you check this cloud usage CSV for exact duplicate rows? The file uses comma delimiters and has columns like usage_id, reported_on, resource_id, used_units, and billed_amount — I want a full duplicates report before I submit it.

## When to prefer this

Choose this endpoint when you specifically need to detect exact row duplicates in a cloud usage import CSV before processing or submitting it. It is optimized for the cloud usage billing domain with relevant field presets (usage_id, resource_id, used_units, billed_amount). Prefer it over generic CSV validators when the goal is duplicate detection on usage/billing data rather than schema validation or field-level checks.

## Known failure modes

- CSV exceeds 100,000 character limit — request rejected
- CSV contains fewer than 1 character — validation error
- Delimiter not one of comma, semicolon, or tab — rejected
- Cell content exceeds max_cell_length limit — parsing error
- Malformed CSV that cannot be parsed — error response
- More than 100 allowed_categories specified — rejected

## How this service works

Cloud usage imports — Exact row duplicates: Exact row duplicates for Cloud usage imports. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV exact row duplicates report.

## Output

Returns a structured report identifying exact duplicate rows found within the submitted CSV, including which rows are duplicates and how many times each appears, up to a limit of 1000 rows analyzed.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "csv": {
   "type": "string",
   "default": "usage_id,reported_on,resource_id,used_units,billed_amount\nrecord-a,2026-01-01,group-a,10,2\nrecord-b,2026-01-02,group-b,20,3",
   "maxLength": 100000,
   "minLength": 1
  },
  "maximum": {
   "type": "number",
   "default": 1000000000000,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": -1000000000000,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "delimiter": {
   "enum": [
    ",",
    ";",
    "\t"
   ],
   "type": "string",
   "default": ","
  },
  "max_cell_length": {
   "type": "integer",
   "default": 1000,
   "maximum": 5000,
   "minimum": 1
  },
  "allowed_categories": {
   "type": "array",
   "items": {
    "type": "string",
    "default": "",
    "maxLength": 100,
    "minLength": 1
   },
   "default": [
    "group-a",
    "group-b"
   ],
   "maxItems": 100,
   "minItems": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cloud-usage-imports-exact-row-duplicates-validator-84c1fa5a/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)