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X402 Cloud Data Analyzer
x402
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.
Price / call$0.02
Success—
StatusUnknown
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.
Example use cases
Business metrics summarization
“I have this month's KPI data as a JSON object — can you analyze it and give me a structured summary of what's performing well and what's lagging? Here it is: {"active_users":4200,"churn_rate":0.07,"avg_session_min":8.4,"new_signups":310}.”
Survey response analysis
“Analyze these aggregated survey results for me and return key findings: {"responses":500,"satisfied":371,"neutral":89,"dissatisfied":40,"top_complaint":"slow load times","top_praise":"clean UI"}.”
Financial anomaly detection
“Run an AI analysis on this financial transaction summary and flag anything that looks unusual or worth investigating: {"total_transactions":1240,"flagged":17,"avg_amount":84.5,"max_amount":9800,"currency":"USD","period":"2024-Q4"}.”
Technical details
Endpoint
POSThttps://api.x402cloud.space/api/v1/data-analyzer?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| options | object |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| usage | object | |
| resultrequired | object | |
| statusrequired | string | |
| payment | object | |
| warnings | array | |
| model_used | string | |
| request_idrequired | string |
Tags
x402
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