# X402 Cloud Data Analyzer

> X402 Cloud Data Analyzer is a paid API for AI agents from api.x402cloud.space, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-10).

Analyzes structured data objects using AI and returns structured analysis results with insights, summaries, or computed outputs.

## Facts

- Endpoint: POST https://api.x402cloud.space/api/v1/data-analyzer?utm_source=zero.xyz
- Price: $0.02/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-10
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402-cloud-data-analyzer-792c2879
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_34RdVBlEzEv8ThShRyrWr

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 x402-cloud-data-analyzer-792c2879 -d '<json body>'
```

Example prompt: Analyze this sales data object for me and return structured insights — here's the JSON: {"region":"North","q1_revenue":142000,"q2_revenue":198000,"top_product":"Widget A","returns_rate":0.03}.

## When to prefer this

Choose this endpoint when you have a structured JSON data object that needs AI-powered analysis, summarization, pattern detection, or insight extraction. It is well-suited for business intelligence payloads, aggregated metrics, survey data, or any structured object where you want computed analysis returned as structured JSON. Prefer it over generic LLM calls when you need a pay-per-use, agent-native micro-payment (x402/USDC) workflow with no API key management.

## Known failure modes

- Missing required 'input' field returns validation error
- Malformed or non-object input body causes 400 bad request
- Payment failure or insufficient USDC balance blocks request
- Oversized input payload may exceed model context limits
- Ambiguous or empty input object may return minimal or low-confidence results
- Upstream AI model unavailability causes 503 or timeout

## How this service works

Agent-ready x402 APIs for AI video production, audio localization, web research, document extraction, data analysis, and structured JSON transformation.

## Output

Returns a JSON object containing a status string, unique request_id, and a result object with AI-generated analysis output. May also include model_used to indicate which AI model processed the request, a usage object with token/cost metrics, and a warnings array for any non-fatal issues encountered during processing.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object"
  },
  "options": {
   "type": "object"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "status",
  "request_id",
  "result"
 ],
 "properties": {
  "usage": {
   "type": "object"
  },
  "result": {
   "type": "object",
   "additionalProperties": true
  },
  "status": {
   "type": "string"
  },
  "payment": {
   "type": "object",
   "additionalProperties": true
  },
  "warnings": {
   "type": "array",
   "items": {
    "type": "string"
   }
  },
  "model_used": {
   "type": "string"
  },
  "request_id": {
   "type": "string"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402-cloud-data-analyzer-792c2879/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.x402cloud.space](https://www.zero.xyz/host/api.x402cloud.space/llms.txt)