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AgentGate GitHub Issue Triage
x402
AgentGate GitHub Issue Triage is a paid API for AI agents from x402.agentsea.vn, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Analyzes a GitHub issue title and body to automatically classify it by category, priority, severity, and generate a root cause hypothesis.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dual-stack x402 & MPP autonomous payment gateway. Per-request micro-utilities for AI agents: clean web scraping ($0.001), prompt injection defense, and Solana token audit settled in USDC on Base L2 & Solana.
Output
Returns a JSON object with the issue category (e.g. bug, feature, question), priority label (P0–P3), severity rating (CRITICAL, HIGH, MEDIUM, LOW), and a triage_summary containing a root_cause_hypothesis string explaining the most likely underlying cause of the reported problem.
Example use cases
Critical production bug escalation
“We just got a new issue filed titled 'Payments silently fail on checkout' with this body: 'Users report their orders go through the UI but no charge is made and no error is shown. Started after deploy v2.3.1.' It's in our Rust repo myorg/payments-service — can you triage it and tell me how critical it is?”
Automated issue intake for open-source project
“Triage this incoming GitHub issue for our Python project myorg/ml-pipeline — title: 'Pipeline hangs indefinitely on large datasets', body: 'When input CSV exceeds 10GB the pipeline never completes. No error is thrown, CPU sits at 0%. Tested on v1.4 and v1.5.' What category, priority, and severity should we assign it?”
Root cause hypothesis for a cryptic error report
“Can you analyze this GitHub issue and give me a root cause hypothesis? Title: 'Unexpected 403 on /api/v2/users endpoint', body: 'After rotating API keys last Tuesday, all calls to /api/v2/users return 403 Forbidden with no further detail. Other endpoints work fine. TypeScript service on myorg/api-gateway.'”
Technical details
Endpoint
POSThttps://x402.agentsea.vn/v1/code/triage-issueWhen to prefer
Choose this endpoint when you need automated, structured triage of GitHub issues at scale — especially for CI/CD pipelines, issue inbox bots, or developer agent workflows that need to label and prioritize bugs without human review. It is particularly valuable when you want a machine-generated root cause hypothesis alongside classification, rather than just a simple label. Prefer it over generic LLM calls when you want a consistent, schema-validated triage output (category, priority, severity) that downstream systems can consume programmatically.
Side effects
- Missing required title or body fields returns a 400 validation error
- Extremely vague or one-line issue bodies may produce low-confidence or generic root cause hypotheses
- Payment failure via x402/USDC may result in 402 Payment Required before processing
- Issues written in unsupported or uncommon languages may yield less precise category classification
- Very long stack traces or bodies may be truncated, affecting hypothesis quality
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | — |
Output
Schema · Response
{
"type": "json",
"example": {
"title": "Bug in auth middleware",
"category": "bug",
"priority": "P0",
"severity": "CRITICAL",
"triage_summary": {
"root_cause_hypothesis": "Suspected bug in core handling logic"
}
}
}Tags
x402
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