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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.

SovereignQA: 7-Agent Self-Healing DevOps Mesh

SovereignQA: 7-Agent Self-Healing DevOps Mesh

SovereignQA is an autonomous, state-driven multi-agent DevOps framework designed to replace fragile, linear CI/CD pipelines with a self-healing QA council. Built entirely on top of the stateful Band.ai protocol, the platform creates a decentralized network where specialized AI agents collaborate asynchronously using an isolated data ledger (Band Room) as their absolute source of truth. The operational lifecycle is triggered natively via GitHub webhooks upon a code push or Pull Request activation. Instead of step-by-step sequencing, the system uses non-linear state orchestration split across three discrete validation rings: 1. Ingestion & Static Verification: Micro-agents execute static syntax diagnostics (Linter Agent), map code paths against security risk profiles (SecOps Auditor for OWASP vulnerabilities), and validate type-hint definitions (Schema Watchdog). 2. Dynamic Runtime Execution: A dedicated Pytest Assert Engine compiles structural assertions, executing code inside an ephemeral, sandboxed Docker container to safely monitor runtime exceptions, while a UI Vision Layout Agent reviews DOM element alignment. 3. Autonomous Remediation & Feedback: If execution fails, a Self-Heal Core agent intercepts command-line tracebacks from the ledger, computes programmatic fixes, patches source files, and loops the state machine back to re-trigger testing. Once cleared, a GitHub Notifier agent posts a comprehensive markdown dashboard and copy-pasteable Git diff right into the developer's pull request. SovereignQA addresses real-world enterprise constraints by introducing an asynchronous message queue (Redis/RabbitMQ) to flatten transaction spikes, sandboxed containerization for secure code processing, and loop kill-switches to protect API token budgets. This ensures a robust, secure, and highly scalable platform.

OpenMind Nexus: Cognitive Risk Intelligence

OpenMind Nexus: Cognitive Risk Intelligence

OpenMind Nexus is a multi-agent cognitive risk investigation platform that helps organizations identify, analyze, and respond to information integrity incidents. Modern organizations face increasing risks from disinformation, manipulated narratives, synthetic media, and persuasive content designed to influence decision-making. Investigating these threats is often manual, fragmented, and difficult to scale. OpenMind Nexus transforms this process into a collaborative workflow powered by Band. When suspicious content is submitted, specialized AI agents collaborate through a shared investigation room: • Content Intake Agent – Structures content and creates investigation artifacts. • Cognitive Bias Agent – Detects manipulation patterns, cognitive biases, and persuasion techniques. • Verification Agent – Evaluates credibility, unsupported claims, and evidence quality. • Echo Chamber Agent – Measures amplification and polarization risks. • Explainability Agent – Combines findings into a transparent reasoning trace and recommendation. Instead of relying on a single AI response, agents contribute independent evidence into a shared context. Recommendations emerge from multiple evidence streams. The platform supports three outcomes: • ARCHIVE – Low-risk content. • MONITOR – Ambiguous content requiring observation. • ESCALATE – High-risk incidents requiring Trust & Safety, Compliance, or Security review. Band serves as the collaboration layer, enabling agents to exchange structured context, maintain investigation state, and participate in auditable workflows. By separating reasoning from transport, OpenMind Nexus creates a scalable architecture for enterprise investigations. By combining bias detection, credibility analysis, polarization assessment, explainability, and human oversight, OpenMind Nexus demonstrates how organizations can move beyond single-agent AI systems and adopt transparent, collaborative AI investigations.

PriceGhost: Dynamic Pricing Forensic Exposé

PriceGhost: Dynamic Pricing Forensic Exposé

PriceGhost is a full-stack forensic intelligence platform that detects, measures, and cryptographically proves dynamic geographic pricing discrimination. THE PROBLEM: Corporations silently charge different prices based on your location, device, and browser fingerprint. 78% of consumers report feeling targeted by location-based pricing bias, yet proving it is nearly impossible. HOW IT WORKS: PriceGhost coordinates 10 simultaneous residential proxy scrapes across global coordinates (Mumbai, New York, London, Tokyo, Berlin, Sydney, Lagos, Buenos Aires, Dubai, Singapore) via Bright Data's Web Unlocker API. Each scrape rotates device fingerprints and captures raw HTML payloads. STATISTICAL FORENSICS ENGINE: Four custom mathematical algorithms run natively — Gini Coefficient of Spatial Inequality, Coefficient of Variation, Mann-Whitney U Significance Test (p < 0.05), and GDP Pearson Wealth Correlation — establishing courtroom-ready mathematical proof of pricing discrimination. AI-POWERED PARSING: When standard regex price extraction fails on complex HTML, Featherless AI's hosted Llama-3 model acts as a semantic fallback parser. AI/ML API generates authoritative natural language indictments styled as investigative exposés. COGNITIVE MEMORY: Cognee's semantic graph database indexes every pricing anomaly, enabling live queries against historical precedents to expose long-term corporate discrimination patterns. AUTOMATED ALERTS: TriggerWare webhooks automatically dispatch incident alerts to legal networks when Gini/Pearson indices flag "Severe" exploitation levels. EVIDENCE INTEGRITY: Every scrape result is sealed with SHA-256 cryptographic signatures and timestamp chains, producing immutable evidence packages exportable as courtroom-ready JSON dossiers. BUILT WITH: Next.js 16 (Turbopack), better-sqlite3 (7-table schema with WAL), Recharts composed visualizations, Leaflet dynamic trace maps.