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Kraken REST API

The Kraken REST API provides HTTP-based access to Kraken's spot and futures markets, account data, and trading operations. It covers public market data endpoints (no authentication required) and private endpoints for account management and order execution (HMAC-SHA512 authenticated). The API supports Spot, Futures, Custody, and Embed products, each with separate base URLs.

General
DeveloperKraken (Payward Inc.)
TypeREST API
LicenseCommercial API (free with Kraken account)
Documentationdocs.kraken.com
GitHubkrakenfx/api-go

Core Features

  • Public and private endpoints: public market data requires no authentication; private endpoints use HMAC-SHA512 signing.
  • Multiple product APIs: Spot, Futures, Custody, and Embed each have dedicated endpoints.
  • Tiered rate limiting: per-API-key counter with decay rates based on account tier (Intermediate or Pro).
  • Subaccount support: master accounts can manage subaccounts programmatically.
  • Earn and staking: endpoints for managing yield-generating positions.

Endpoints

Spot REST base URL: https://api.kraken.com/0/

CategoryEndpoints
PublicTicker, OHLC, order book, recent trades, spreads, asset pairs, system status
Private: AccountBalance, trade balance, open/closed orders, trade history, ledger entries
Private: TradingAdd order, amend order, cancel order, cancel all orders, batch orders
Private: FundingDeposit addresses, deposit methods, withdrawal info, withdraw funds
Private: EarnStaking and yield positions

Authentication

Spot REST authentication uses HMAC-SHA512:

  1. Generate a nonce (always-increasing unsigned 64-bit integer; millisecond UNIX timestamps recommended)
  2. Compute: SHA256(nonce + POST body data)
  3. Compute: HMAC-SHA512(URI path + SHA256 result, base64-decoded private key)
  4. Send API-Key header (public key) and API-Sign header (base64-encoded HMAC result)

The private key is never transmitted directly.

Rate Limits (Spot REST)

TierMax CounterDecay Rate
Intermediate200.5 per second
Pro201 per second

Ledger and trade history calls add 4 to the counter; all other private calls add 1. Order placement and cancellation use a separate trading rate limiter. Exceeding limits returns EAPI:Rate limit exceeded. Rate limits are shared across REST, WebSocket, and FIX for the same API key.

Tools and Resources

Ecosystem and Integrations

  • API keys are generated in Kraken account settings with configurable permissions (read-only, trading, funding).
  • Commercial redistribution of Kraken market data requires prior approval from marketdata@kraken.com.
  • Community SDKs available for Python, Go, C++, and Julia (listed in official documentation).

Generate API keys in your Kraken account settings and follow the REST quickstart to place your first programmatic order.

Edit on GitHub

kraken rest api AI technology Hackathon projects

Discover innovative solutions crafted with kraken rest api AI technology, developed by our community members during our engaging hackathons.

ProofGate

ProofGate

Software teams often rely on one opaque AI response to interpret a request, decide what to do, perform the work, and explain the result. That makes failures difficult to trace and retries easy to repeat without learning from the first attempt. ProofGate separates the work into five clear roles connected through Band. A human starts with a normal request. Intake converts it into a structured task. Planning defines scope, constraints, and measurable success requirements. Resolution performs the requested work and checks whether every requirement was met. When the result succeeds, Finalizing delivers the completed result and closes the workflow. When Resolution fails, ProofGate does not restart the entire workflow or repeat the same attempt. Issue Isolation identifies the exact failure location and cause, preserves the work that already succeeded, and creates a new focused handoff. That handoff can return to the Resolution Agent or be sent to a configured specialist such as Claude Code or Codex. Only one retry is allowed. The final result is then delivered as completed, resolved after isolation, blocked, or failed. Band provides the agent identities, room communication, and targeted handoffs. ProofGate provides the structured packet, deterministic routing, one controlled retry, and terminal delivery model.

The-Agnets-Worksation

The-Agnets-Worksation

The Agents Workstation is a production-grade, autonomous software engineering agency designed to solve the critical hallucination and execution gaps inherent in traditional AI code generation. Built as a highly concurrent Python orchestration engine, the system decentralizes intelligence across a specialized Band of Agents—including an Architect (Planner), Domain Builders (Frontend/Backend), a deterministic Executor (Terminal), and QA Specialists (Supervisor/Repair). Operating as a native node on the Band AI network, these agents dynamically spin up programmatic chat rooms to plan, coordinate, and hand off tasks using Directed Acyclic Graphs (DAGs) with complete, observable transparency. Unlike standard code assistants that leave execution and debugging to the human developer, the workstation features an indestructible, headless Execution Sandbox. The Terminal Agent handles virtual environments, bypasses interactive prompts in "CI Mode," and actively pings local network ports to guarantee server stability. If an application throws an error on startup, the Supervisor Agent catches the runtime traceback, calculates a project stability score, and triggers a surgical, self-healing Repair Loop to patch the codebase without human intervention. To guarantee zero downtime, the architecture is shielded by a Universal LLM Gateway featuring multi-provider failover routing, dynamically shifting loads between Tier-1 models like Gemini, Claude, and GPT-4o if rate limits are hit. Operators monitor this entire hive mind through a premium, zero-simulation Cyberpunk Dashboard. Powered by real-time WebSockets, this command center streams deterministic telemetry, agent state updates, and system logs with millisecond precision, proving that the AI is not just writing code—it is autonomously orchestrating an entire software factory.

Coder – AI Software Engineering Team

Coder – AI Software Engineering Team

Coder is a mobile-first and desktop-capable AI software engineering platform designed to function as a complete AI development team rather than a traditional chatbot. Instead of relying on a single AI model, Coder uses four specialized agents working together through Band.ai's multi-agent collaboration system. The Planner Agent analyzes user requirements and creates a structured development plan. The Engineer Agent generates project architecture, files, and implementation code. The Reviewer Agent performs syntax validation, dependency verification, import checking, and build-readiness analysis. The Verifier Agent performs UI/UX review, functionality validation, requirement matching, and final quality assurance before delivery. Coder combines these agents inside a unified IDE experience built with Flutter. Users can open projects, browse files, edit code, preview applications, connect GitHub repositories, and export completed projects from a single workspace. The platform supports modern web development technologies including HTML, CSS, JavaScript, React, Tailwind CSS, TypeScript, Node.js, Flutter, and related frontend technologies. Unlike standard AI coding assistants, Coder introduces a configurable three-step verification pipeline that allows generated code to pass through multiple validation stages before being accepted. Users can enable or disable verification directly from the settings panel depending on their workflow requirements. Band.ai serves as the collaboration and orchestration layer, allowing all agents to communicate through shared rooms and agent-to-agent messaging. AIMLAPI and Featherless AI provide access to multiple large language models, enabling flexible model selection and cost-efficient execution. Markdown-based technical knowledge resources can be attached to agents to provide framework-specific guidance and coding standards.

RepoMap

RepoMap

Are you a coder? Think back to when you first started... could you just open up a massive GitHub repository and instantly read it? Probably not People always say that open source projects are a developer's playground. A place to explore, tinker, and learn. But let's be honest... when a novice coder opens up a massive, complex repository, they don't see a playground. They just get completely overwhelmed. Well, here is the solution: RepoMap..... RepoMap is powered by a multi-agent pub-sub architecture, orchestrated by the BAND framework. We use four specialized AI agents working in a seamless pipeline: First, the Ingestion Agent clones your repo and reads the files using Llama 3.3. Second, the Graph Agent builds a Neo4j knowledge graph, turning files and imports into nodes and edges. Third, the History Agent injects years of GitHub commit history into the map. And finally, the Maintenance Agent analyzes the graph for vulnerabilities But let's be real... in the current world of AI, a lot of people are just building things without actually understanding how they work. Don't worry—we aren't forcing you to learn how your code works... though you definitely should! If you want to take the easy route, just unleash our Maintenance Agent. It will autonomously help you write better code, clear out legacy dead code, manage your versions, and automatically document the most critical hubs in your architecture. NOTE - AS I AM A STUDENT AND NOT HAVE ANY CARD FOR PAYMENT VERIFICATION I WAS UNABLE TO GET BAND PRO USING THE CODE GIVEN AND WAS NOT ABLE TO HOST AGENTS ON BAND BUT MY ARCHITECTURE IS FULLY BASED ON IT AND JUST HOSTING IS NEEDED.

MedSync AI Collaborative Crisis Intelligence

MedSync AI Collaborative Crisis Intelligence

TASK 3 — LONG DESCRIPTION Problem Every year, U.S. hospitals face over 150 million emergency department visits and thousands of mass casualty events. When a Level 3 Critical surge strikes — a multi-vehicle accident, an industrial disaster, a pandemic spike — the difference between life and death is measured in minutes. Yet the coordination systems hospitals depend on were designed for a pre-digital era. Incident commanders juggle phone calls, whiteboards, and pagers. Capacity managers refresh spreadsheets. Staffing coordinators text on-call nurses. Resource managers fax mutual aid requests. Compliance officers review binders of regulatory requirements. The result is catastrophic coordination failure: 34% of preventable hospital deaths are attributed to communication breakdowns during emergencies (Joint Commission, 2023) Average surge response time is 47 minutes — 37 minutes longer than best-practice targets $2.1M average cost per mass casualty event in operational inefficiency alone 72% of hospitals report that their Incident Command System breaks down under real pressure EMTALA violations during surges carry $119,942 fines per incident and potential loss of Medicare funding The fundamental problem is not a lack of data — it is a lack of coordinated decision-making under pressure. No single person can simultaneously optimize bed allocation, nurse staffing ratios, ventilator supply chains, and regulatory compliance within a 10-minute window. Solution MedSync AI is a Collaborative Multi-Agent System that brings autonomous, coordinated, AI-driven decision intelligence to hospital emergency response. Unlike a chatbot or a dashboard, MedSync AI deploys 5 specialized AI agents that work together — reading each other's outputs, challenging each other's recommendations, and negotiating until the plan is compliant, optimal, and ready for human approval.

Bandwith

Bandwith

Welcome to Bandwidth (originally conceptualized for the Band of Agents Hackathon). Bandwidth is a multi-agent AI orchestration framework designed to revolutionize the software development lifecycle. By treating specialized AI models like members of a synchronized musical band, Bandwidth delegates complex engineering tasks to a unified digital development team. What is Bandwidth? Modern software development requires juggling architecture, coding, debugging, and testing. Bandwidth acts as the "conductor," managing a suite of specialized AI coding agents that work in parallel. Instead of relying on a single AI assistant to do everything sequentially, you deploy a full "band" where each agent is an expert in its specific domain—whether that's writing front-end components, optimizing database queries, or generating robust unit tests. Key Features - Multi-Agent Orchestration: Seamlessly coordinate multiple AI agents working on different parts of your codebase simultaneously. - Specialized Agent Roles: Assign specific tasks to dedicated agents (e.g., Lead Developer, QA Tester, DevOps Engineer) to ensure high-quality, focused output. - Automated Synchronization: The central conductor agent ensures that all generated code is harmonized, tested, and ready for deployment without painful conflicts. - Massive Throughput: Dramatically increase your team's development capacity—your "bandwidth"—by offloading boilerplate, testing, and routine feature development to the agent ecosystem. Whether you're a solo developer looking to multiply your output or a startup aiming to eliminate development bottlenecks, Bandwidth provides the framework to build faster, smarter, and perfectly in sync.