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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.

Lunar Graph - AI-Powered Fraud Ring Detection

Lunar Graph - AI-Powered Fraud Ring Detection

Deriv's compliance teams face 2,100+ fraud alerts weekly, 95% false positives. Each investigation takes 25+ minutes, creating weeks-long backlogs. Meanwhile, fraud rings go undetected because every individual account passes KYC, AML, and risk checks perfectly. The insight: fraud is invisible individually — it's obvious at the network level. LunarGraph maps every entity (partners, sub-affiliates, clients, trades, payments) into a knowledge graph, then deploys three AI agents in parallel: Graph Anomaly Agent — Detects structural patterns like one partner controlling 20+ accounts through layered sub-affiliates sharing IP addresses and device fingerprints. Temporal Intelligence Agent — Identifies coordinated opposite BUY/SELL trades placed within 30-second windows across linked accounts (mirror trading for commission extraction). Behavioral Trajectory Agent — Compares partner behavior against known fraud signatures to predict emerging schemes 2-3 weeks before activation. The platform connects to the real Deriv WebSocket API. Partners invite affiliates via unique referral links, each generating a tracked trading account with a TradingView-style interface. Every trade feeds into the graph engine for real-time correlation analysis. An AI Copilot synthesizes findings into case reports in 28 seconds via natural language queries. Results: 99.86% alert reduction, 28-second case generation (vs 25min manual), 14-day predictive lead time, $178K+ fraud exposure detected across 3 rings and 73 entities.

PartnerPulse - AI powered Partner churn prediction

PartnerPulse - AI powered Partner churn prediction

Stage 1a: Batch Churn Prediction PartnerPulse begins by analyzing the full partner portfolio (~5,000 partners), engineering 60+ behavioral, financial, and sentiment-based features from the last 6 months. These include commission trends, referral activity, login behavior, support tickets, sentiment signals, and competitor exposure. A bulk ML model (HistGradientBoostingRegressor) predicts churn risk, assigns LOW/MEDIUM/HIGH risk classes, and computes SHAP explanations for the top 50 highest-risk partners—making each prediction transparent and actionable. Stage 1b: Competitive Intelligence (Parallel) In parallel, the system assesses external market pressure by measuring multi-homing rates, share of voice, and sentiment gaps. It also scrapes key competitors (PocketOptions and OlympTrade) to capture both product positioning and affiliate program structures (commissions, CPA rates, tiers). This produces a structured, portfolio-wide competitive landscape. Stage 2: Churn Diagnosis Predictions and competitive insights are combined to diagnose why each partner is at risk. SHAP drivers are mapped to five root causes: Revenue Decline, Engagement Drop, Competitor Pressure, Support Dissatisfaction, and Platform Mismatch. Each partner receives a primary and secondary root cause with weighted attribution. Stage 3: Cohort Grouping & Action Partners are grouped into cohorts by root cause, partner type, and platform. Each cohort is assigned tailored retention strategies - ranging from commission restructuring and re-engagement campaigns to competitive counter-offers or support escalation which is refined by cohort size and risk severity. Stage 4: Internal Communication Insights are operationalized through automated executive briefings, real-time Slack alerts via OpenClaw, and a consolidated CEO-level summary-ensuring churn risk translates into timely, targeted action.

AI-Powered Multi-Agent Enterprise Platform

AI-Powered Multi-Agent Enterprise Platform

Deriv Agent is a comprehensive AI-powered agent management platform that transforms enterprise operations through intelligent automation and multi-agent collaboration. Built with Agno and OpenRouter, the platform addresses three core business challenges that require sophisticated AI capabilities. **HR Operations Automation**: The platform provides a self-service HR system that automates contract generation, answers policy questions through conversational AI, and tracks compliance proactively. Specialized agents handle document generation, policy Q&A, benefits administration, and compliance monitoring. Multi-agent teams collaborate to process complex HR workflows, from onboarding documentation to visa compliance tracking, dramatically reducing manual work and improving employee experience. **Financial Crime Detection**: The system employs advanced AI agents for transaction monitoring, anomaly detection, and network analysis to identify money laundering, fraud, and suspicious trading patterns in real-time. The platform uses behavioral anomaly detection, graph-based network analysis, and automated evidence collection to reduce false positives from thousands of alerts to high-confidence cases. Agents automatically generate suspicious activity reports (SARs) with full investigation packs ready for compliance review. **Trading Intelligence**: The platform provides comprehensive market analysis, behavioral coaching, and social content generation for traders. Specialized agents analyze market trends, explain price movements, detect emotional trading patterns, and generate engaging social media content. The system combines market intelligence with behavioral insights to help traders understand markets, recognize their own patterns, and stay informed through AI-generated content. The platform features a flexible architecture with multiple interfaces including a Telegram bot with live streaming of agent actions, a web UI, and a full REST API.