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Developer API Platforms Coding Agents Web Agents Foundation Model Providers Llms Foundation Models Agent Platforms Frameworks Building Tools Agent Platforms Orchestration AI Agents

SiliconFlow

✓ verified

Developer platform serving 200+ optimized LLMs via APIs; high traffic.

434K visits/mo1.1K saves

Claient.io

Paid

Manus

✓ verifiedFreemium

General AI agent that executes multi-step tasks end to end — research, slides, design, browsing — instead of only answering questions.

28M visits/mo89K saves

Abacus.AI

✓ verifiedPaid

AI super-assistant plus enterprise ML platform: ChatLLM for teams and end-to-end model building for enterprises; broad, pricing not shown.

4.3M visits/mo

Kiro AI

✓ verifiedFreemium

Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.

3.8M visits/mo

Pricing

No public pricing

Free Forever: Free

Basic: €10 per month

Pro: €25 per month

Pro+: €50 per month

No public pricing

Free: $0/mo (50 credits)

Pro: $20/user/mo (1,000 credits)

Pro+: $40/user/mo (2,000 credits)

Pro Max: $100/user/mo (5,000 credits)

Power: $200/user/mo (10,000 credits)

Core features

✦Access over 200 optimized models, including LLMs, image, video, and audio processing.
✦Achieve low-latency, high-throughput inference with SiliconFlow's self-developed acceleration frameworks.
✦Deploy models via serverless inference, dedicated endpoints, or reserved GPUs to suit various workloads.
✦Customize models to your data with built-in monitoring and elastic compute resources.
✦Ensure data privacy and business security with dynamic scaling and fault tolerance mechanisms.

✦API Key Protection
✦Rate Limiting
✦Domain Restrictions
✦JWT Authentication
✦IP Whitelisting/Blacklisting
✦Live Metrics

✦Autonomous multi-step task execution
✦Website and app building
✦AI slides, design and image generation
✦Manus browser operator
✦Wide Research mode
✦Cross-platform web, desktop and mobile apps

✦ChatLLM access to multiple top AI models
✦AI agents and automation
✦No-code full-stack app creation
✦Enterprise generative AI platform
✦Structured ML model building
✦Optimization and forecasting

✦Spec-driven development (requirements, design, tasks)
✦Parallel agents, local or cloud
✦Property-based and correctness testing
✦Works in IDE, CLI, web and mobile
✦Multiple models (Claude, open-weight, Auto)
✦Headless CLI for CI/CD
✦Context from tools like Figma and Terraform

Use cases

→Quickly deploy various AI models via a simple API, supporting tasks like text, image, audio, and video processing.
→Utilize serverless GPUs to automatically scale AI applications, ensuring flexibility and cost-efficiency.
→Access high-performance GPUs for demanding workloads, such as large-scale inference and video generation.
→Deploy custom models with guaranteed performance and scalability, tailored to specific business needs.

→Securing API keys when integrating LLMs into client applications.
→Managing API usage and preventing abuse through rate limiting.
→Restricting access to LLMs based on domain or IP address.
→Implementing JWT authentication for secure access control.

→Automate end-to-end digital tasks
→Produce websites and presentations
→Conduct broad research
→Hand off browser tasks to an agent

→Chat with many AI models in one place
→Build and deploy ML models
→Automate tasks with AI agents

→Turning prompts into maintainable, spec-matched code
→Catching bugs unit tests miss
→Reviewing PRs and fixing bugs in CI/CD

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