Sold by: JGoutin-dev
Deployed on AWS
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Connect your OpenAI and Anthropic tools to AWS Bedrock instantly. stdapi.ai is a drop-in AI gateway - 80+ models including Claude and Moonshot Kimi, works with 1000+ apps. GDPR and HIPAA ready.
Overview
Most AI tools and applications only support OpenAI or Anthropic APIs and cannot connect to AWS Bedrock or AWS AI services like Transcribe, Polly, and Translate. stdapi.ai solves this with a production-ready OpenAI and Anthropic compatible AI gateway that makes AWS Bedrock and AI services instantly accessible to any existing tool - Open WebUI, n8n, Continue.dev, Cursor, LangChain, and 1000+ applications. No custom integration required.
WHY CHOOSE STDAPI.AI
Complete OpenAI & Anthropic API Support - Chat, embeddings, images, audio (speech/transcription/translation). Works with your existing applications out of the box.
80+ AI Models - Access Claude, Moonshot Kimi, MiniMax, Nova, Llama, Qwen, and more. Switch models instantly with no vendor lock-in.
Enterprise Compliance - All data stays in your AWS account. Configure allowed regions for HIPAA, GDPR, and FedRAMP compliance through AWS Bedrock certifications.
Purpose-Built for AWS Bedrock - Not a generic proxy. Deep integration with reasoning modes, prompt caching, guardrails, service tiers, inference profiles, and prompt routers. Built to leverage every Bedrock feature through standard API parameters.
MODELS AND CAPABILITIES
AI Models - Anthropic Claude, Moonshot Kimi, MiniMax, Amazon Nova, Meta Llama, Alibaba Qwen, Zhipu GLM, Stability AI, Mistral, Cohere, Nvidia, AI21 Labs.
AWS Services - Polly (text-to-speech), Transcribe (speech-to-text with diarization), Translate (multi-language).
Advanced Features - Reasoning modes, prompt caching, guardrails, inference profiles, cross-region routing, prompt routers.
POPULAR USE CASES
Private ChatGPT Alternative - Deploy Open WebUI or LibreChat with enterprise security. Multi-modal chat, RAG document analysis, web search. Full data control.
Workflow Automation - Connect AI to 400+ services via n8n, Make, or Zapier. Automate support, content creation, and data processing without technical setup.
AI Coding Assistants - Use Continue.dev, Cline, Cursor, Claude Code, Windsurf in VS Code or JetBrains IDEs. Access Claude, Moonshot Kimi, Qwen Coder via OpenAI or Anthropic-compatible interface.
Knowledge Management - Add AI to Obsidian, Notion, Logseq. Semantic search, auto-summarization, smart organization.
Team Bots - Deploy to Slack, Discord, Teams, Telegram. Q&A bots, documentation search, task automation.
Autonomous Agents & MCP - Every API endpoint is exposed as a Model Context Protocol tool (Streamable HTTP and SSE transports). OpenClaw, Claude Code, Cursor, LangGraph, CrewAI, and any MCP-compatible agent connect directly with no HTTP client code. Agents auto-discover capabilities via RFC 8288 Link headers and the machine-readable API catalog.
KEY BENEFITS
Multi-Region Quota Multiplier - Each AWS region has independent quota. 3 regions means 3x tokens per minute and 3x daily limits. One endpoint with automatic failover and routing. Configure EU-only, US-only, or global for compliance.
Production Infrastructure - Terraform/OpenTofu deployment. ECS Fargate auto-scaling, ALB with HTTPS, WAF, VPC, KMS encryption. AWS Well-Architected Framework.
Built-in Security - CloudWatch monitoring, OpenTelemetry tracing, API key auth via Systems Manager, CORS, SSRF protection.
Cost Efficiency - Pay-per-use for models via Bedrock. No monthly minimums. Prompt caching and Fargate Spot reduce costs further.
No Vendor Lock-in - Standard OpenAI & Anthropic APIs. Switch providers anytime by changing one config value.
Automatic Model Fallback - When AWS retires a model, requests are transparently redirected to its replacement. Your applications survive model deprecations without code changes.
GET STARTED
Start with a 14-day free trial on AWS Marketplace. Deploy in minutes with Terraform templates. Comprehensive docs and step-by-step guides for Open WebUI, n8n, Continue.dev, and LangChain at https://stdapi.ai . Production-ready from day one.
Highlights
- Works instantly with 1000+ OpenAI and Anthropic compatible applications - Open WebUI, n8n, Continue.dev, Cursor, LangChain, Obsidian, Slack bots, and agent frameworks like OpenClaw, LangGraph, and CrewAI. Full API coverage: chat, embeddings, images, speech, transcription, and files. Expose all endpoints as MCP tools (Streamable HTTP and SSE) for direct agent access. Switch between 80+ models including Claude, Kimi, MiniMax, Nova, Llama, and Qwen instantly.
- All data stays in your AWS account and never reaches model providers. Configure allowed regions for GDPR, HIPAA, and FedRAMP compliance. Production-ready infrastructure via Terraform: ECS Fargate with auto-scaling, ALB with HTTPS, WAF, VPC, KMS encryption, CloudWatch monitoring, and OpenTelemetry tracing. Follows the AWS Well-Architected Framework.
- Pay only for what you use through AWS Marketplace - no monthly minimums, no subscriptions, and no markup on AWS Bedrock model pricing. Reduce costs further with prompt caching and Fargate Spot. Standard OpenAI and Anthropic APIs mean zero vendor lock-in: switch AI providers anytime with no impact on your applications.
Details
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Delivery method
Supported services
Delivery option
Amazon ECS Deployment with Terraform/OpenTofu
Latest version
Operating system
Linux
Deployed on AWS
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Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $0.10 |
Vendor refund policy
stdapi.ai offers refunds on a case-by-case basis. We encourage you to try our free tier first to evaluate the product before purchasing.
To request a refund, contact support@stdapi.ai with your AWS Marketplace order ID and reason. Our team will review your request promptly.
For more information, visit https://stdapi.ai/operations_getting_started/
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Delivery details
Amazon ECS Deployment with Terraform/OpenTofu
Supported services: Learn more
- Amazon ECS
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
See https://stdapi.ai/roadmap/ for more information
Additional details
Usage instructions
AFTER SUBSCRIBING - WHAT TO DO NEXT
Go to the deployment guide at https://stdapi.ai/operations_getting_started/ - it walks through prerequisites, Terraform deployment, first API call, and troubleshooting.
Ready-to-deploy Terraform examples: https://github.com/stdapi-ai/samples (includes single-region production, multi-region EU/GDPR, multi-region US, and Open WebUI.)
OVERVIEW
Hardened container image for production use. Typical deployment is ECS Fargate provisioned via the official Terraform module, which creates VPC, ALB with HTTPS, auto-scaling, WAF, S3, CloudWatch, IAM, and KMS. Manual deployment on ECS or EKS is also supported.
The Terraform module is published at https://registry.terraform.io/modules/stdapi-ai/stdapi-ai/aws/latest and produces a complete, AWS Well-Architected deployment from a few input variables. Customize via variables for domain/HTTPS, auto-scaling, allowed Bedrock regions, API authentication, WAF, monitoring, and existing-VPC integration.
For deployment patterns beyond the samples (existing VPC, existing ALB, manual ECS, cost-optimized Fargate Spot, multi-region routing), see https://stdapi.ai/operations_deploy_advanced/ .
CONFIGURATION REFERENCE
Every environment variable and Terraform input is documented at https://stdapi.ai/operations_configuration/ .
API REFERENCE
OpenAI-compatible endpoints (/v1/), Anthropic-compatible endpoints (/anthropic/v1/), and native /search_models for agents: https://stdapi.ai/api_overview/
MONITORING
CloudWatch logs and metrics, ECS health checks, OpenTelemetry and AWS X-Ray integration (optional). Details at https://stdapi.ai/operations_logging_monitoring/ .
TROUBLESHOOTING
Common first-deployment issues (503 during ECS warmup, TLS warning on default ALB domain, 403 auth, 404 model not found, Bedrock throttling, S3 errors): https://stdapi.ai/operations_troubleshooting/ .
SUPPORT
Documentation: https://stdapi.ai Email: support@stdapi.ai GitHub: https://github.com/stdapi-ai/stdapi.ai/issues
SECURITY
Container runs as non-root with minimal attack surface. Vulnerability scans and prompt patching. Region-specific deployment supporting HIPAA, GDPR, and FedRAMP through AWS Bedrock certifications. CloudWatch audit logs. Security details at https://stdapi.ai/operations_authentication_security/ .
Resources
Vendor resources
Support
Vendor support
Email support available at support@stdapi.ai for deployment assistance, configuration questions, and troubleshooting. Response within 1-2 business days.
Community support via GitHub Issues at https://github.com/stdapi-ai/stdapi.ai/issues for bug reports, feature requests, and discussions.
Comprehensive documentation at https://stdapi.ai includes Getting Started guides, API reference, integration examples, and troubleshooting guides.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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