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AI/ML API

The AI/ML API offers a comprehensive suite of advanced AI functionalities designed to meet a variety of needs, including text completion, image inference, speech-to-text, and text-to-speech capabilities. The API is engineered for seamless integration, exceptional performance, and secure API key management, ensuring a smooth and reliable user experience.

Key Features

  • Inference: Effortlessly evaluate and deploy models for a range of tasks including text generation, image analysis, and more. This feature allows users to leverage the power of advanced AI to draw meaningful inferences from various data types.
  • API Key Management: Securely generate, manage, and monitor API keys to ensure the safety and integrity of interactions with the API. This feature provides robust security measures to protect data and operations.
  • Broad Model Selection: Gain access to a diverse array of models tailored to various AI applications, allowing selection of the most appropriate model for specific tasks. This extensive model library supports a wide range of functionalities to address different AI challenges.

Start building with AI/ML API

To start using the AI/ML API, follow the detailed Quickstart guide which provides step-by-step instructions to set up the development environment and initiate the first API call. This guide is designed to help users quickly familiarize themselves with the API's capabilities and start leveraging its powerful features.

Authentication

API Key Management

To use the AI/ML API, an API key is required. This key is essential for authenticating requests to the API. API keys can be easily generated and managed through the account dashboard, ensuring secure access to the API services.

Sending Your First Request

After setting up the environment and obtaining an API key, proceed to send the first request. The API documentation provides detailed instructions and examples to help craft requests and understand responses, enabling full utilization of the AI/ML API's functionalities.

Authorization: Bearer YOUR_API_KEY

curl --location --globoff 'api.aimlapi.com/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data '{
    "model": "gpt-3.5-turbo",
    "messages": [
        {
            "role": "user",
            "content": "What's API?"
        },
    ],
    "max_tokens": 512,
    "stream": false,
    
}'

👉 Read the documentation to find out more: https://docs.aimlapi.com/

AI/ML API AI technology page Hackathon projects

Discover innovative solutions crafted with AI/ML API AI technology page, developed by our community members during our engaging hackathons.

Ridhwan

Ridhwan

AI agents are becoming autonomous economic actors — trading tokens, deploying contracts, managing treasuries. But enterprises won't trust them with real money without guardrails. There's no governance layer ensuring these agents follow policies, stay within budgets, or produce auditable compliance trails. Ridhwan solves this. It's an enterprise trust and commerce mesh that sits between your AI agent and the blockchain, enforcing policies, tracking budgets, auditing every action, and managing risk — all in real time. Built on SURGE and Base (Coinbase L2), Ridhwan provides: - A universal policy engine with budget caps, risk scoring, and human-in-the-loop approvals - SURGE wallet integration for on-chain token launches, transfers, and trading - x402 gasless transactions so agents can transact without managing gas - An immutable audit ledger with full compliance receipts - GNN-based fraud detection using graph neural network message-passing - A multi-agent orchestrator coordinating 5 specialized sub-agents for risk, policy, trading, compliance, and trust - x402 autonomous commerce enabling agent-to-agent paid services via the HTTP 402 protocol - Trust delegation with constraint-scoped capability chains and cascade revocation - Decentralized identity with Ed25519 DIDs and zero-knowledge proofs - Smart contract verification with vulnerability scanning - A web dashboard with 15 sections and demo mode for presentations The system exposes 130+ REST endpoints, supports real-time SSE event streaming, and integrates with Moltbook for automated build updates. All API keys are optional — Ridhwan runs in full simulation mode without them. Built with TypeScript, OpenClaw, SURGE on Base, and the x402 Protocol.

OnboardEase

OnboardEase

**AI-Assisted Onboarding OS** is a simulation-driven training platform that replaces passive onboarding with interactive, role-based execution environments. Instead of only reading documents or watching videos, employees learn by doing inside AI-powered playgrounds tailored to their department. Developers work in secure coding sandboxes with access to curated company repositories, fix real bugs, ship features, and receive AI-driven code reviews. Sales teams practice live deal-closing in AI IVR simulations that generate objections, analyze tone, and score closing probability. Marketing teams run virtual campaigns, optimize budgets, and test messaging strategies with AI feedback on performance and ROI. Product managers handle roadmap trade-offs and stakeholder pressure simulations, while HR professionals conduct AI-driven interview and conflict-resolution scenarios. Leadership teams can navigate crisis management and decision-making simulations to strengthen strategic thinking. The platform integrates company documents, SOPs, and knowledge bases using contextual AI, ensuring every scenario reflects real organizational workflows. Multi-agent systems simulate real-world complexity, evaluate decisions, and provide structured feedback, skill scoring, and certification. Gamification elements such as progress tracking, leaderboards, and promotion-readiness scores increase engagement and accountability. Admin dashboards allow companies to measure onboarding effectiveness, identify skill gaps, and standardize training across teams. By combining simulation, AI evaluation, and company-specific context, the platform accelerates productivity, reduces ramp-up time, and transforms onboarding into measurable, execution-based readiness.