AI API Error 429 Guide
Diagnose rate-limit failures and implement safe retry and backoff strategy without causing retry storms.
Read guide →Guides and Resources
Practical guides, tools, and reliability resources written from real incident experience. The focus is on actionable content for developers and teams that depend on AI APIs in production.
New guides are published as we observe real patterns in the monitoring data.
Troubleshooting Guides
Step-by-step guides for the most common AI API failure modes.
AI API Timeout Guide
Troubleshoot slow responses, tune timeout budgets, and harden fallback paths for latency spikes.
Read guide →AI API Error Code Glossary
Common API errors with root causes, severity levels, and concrete remediation steps.
Read glossary →Fallback Model Guide
Production strategy guide with routing pseudocode, readiness checklists, and failure-mode handling.
Read guide →Interactive Tools
Free tools for AI API cost planning and content analysis.
Cost + Reliability Calculator
Estimate monthly spend, failed-request exposure, and fallback overhead before incidents happen.
Open tool →AI Content Detector
Analyze text for AI-likelihood patterns using transparent stylometric indicators. For editorial review, not verdicts.
Open tool →Reliability Data Pages
Live and historical data views from our independent monitoring pipeline.
Provider Reliability Comparison
Compare uptime, latency, error rate, cost, and effective limits with filterable 30/90-day views.
View comparison →Incident Analysis
Timeline, root cause, mitigation, and preventive actions from recent disruption windows we observed.
View incidents →Status History Archive
Historical incident summaries and rolling uptime trends for planning and postmortems.
View archive →Status History by Provider
Filterable 24h/7d/30d reliability view with provider-specific incident windows and trend context.
View by provider →About This Resource
AI Checker Hub is an independent monitoring project run by Faizan. The guides here come from real incident troubleshooting experience — not vendor documentation summaries. The monitoring data behind the status pages is collected from independent HTTP checks run every five minutes against each provider's endpoints.
If you have a specific reliability problem you want covered, use the contact page to describe the issue. Reports with provider, endpoint, region, and error type help the most.