Hyperliquid & Lighter API Integration -- 2

@AwaisChaudhry

Hello, I’m Muhammad Awais. I will build a complete, well-documented API client for Hyperliquid and Lighter that exposes every endpoint described in the official docs, including trading, portfolio, market, and system data. The solution will be modular and clearly structured, with a primary focus on Python as the implementation language, while keeping the design extensible for other languages if needed. It will include a robust REST layer, optional WebSocket streams where available, proper error handling and retries, rate-limit compliance, and straightforward setup instructions. Deliverables: a full client library covering all documented endpoints, example usage for core actions (place buy/sell orders, modify/cancel orders, portfolio snapshot, and history), and comprehensive docs detailing each method and returned data. Source code will be provided with full ownership and no obfuscation. Proposed questions for you: What language should the primary client be in, or do you want multi-language bindings? Should I implement WebSocket streams for real-time data, and which events are highest priority? What authentication, rate-limit, and retry policies should I follow for both platforms? Do you require automated tests, CI, and documentation with usage samples? Are there any regulatory or data retention requirements I should align with? Are you okay with starting a Python-based client and expanding to other languages if needed? Best regards,

@Herculesz

Hi I can build a complete, production-grade API client for Hyperliquid and Lighter that covers all documented endpoints, including trading, portfolio, market data, and WebSocket streams. The main technical risk is incomplete coverage and fragile order execution when auth/signing, nonce/timestamp rules, and rate limits aren’t handled consistently across endpoints. I solve this with a modular client architecture (REST + WebSocket), strongly-typed request/response models, and a shared core for auth, retries with backoff, and idempotent order workflows. Trading support will include buy/sell, batch placement, amend/replace (where supported), cancel single, and cancel-all, with clear error surfaces and deterministic responses. Account modules will expose balances, margin, positions, exposure, PnL, and full order/trade history with both snapshot and real-time update options. Market modules will include metadata, order books, trades, funding/fees (if applicable), and system status/rate-limit introspection, with streamed and polled variants. You’ll get clean, fully documented source code, examples for key actions, and a test harness/mocks so your team can validate behavior without live funds. Thanks, Hercules

@Milvetti

Hi, we can help you with your Hyperliquid & Lighter full API integrations in Python. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@mubeenm5026

With a proven track record highlighted by our 98% project completion rate, my team and I at Web Crest are seasoned in software development, especially in API integration and REST API applications like the one detailed in your project. Our extensive experience in Python significantly enhances our capability to connect, extract and manage data from various platforms, including crypto trading APIs. Working meticulously to respect API rate limits, ensure proper error handling and contextual retries, we will design a modular system that can be easily extended or modified— a critical aspect for future scalability of your project. You can count on us to provide clean, well-structured, and fully documented code that guarantees transparency and full ownership. What sets us apart is our capacity for innovation. As an experienced practitioner in the field of AI automation, we will leverage this unique perspective to maximize efficiency in the integration process with Hyperliquid and Lighter APIs. Furthermore, our grasp of cloud solutions (particularly with AWS, Google Cloud & Azure) combines well with your demands for real-time data exchange as we can design fail-safe mechanisms to handle large amounts of streaming data from crypto markets. Let’s partner to build the future together!

@juanjosec63

Hello, I’ve built and maintained crypto trading integrations (REST + WebSocket) where the main deliverable is a **complete, well-tested client library**: auth/signing, market data, order lifecycle (single + batch), portfolio/positions/PnL, and reliable streaming with reconnect + sequence handling. For this project, I’d implement **everything documented** for both **Hyperliquid** and **Lighter** as two modular clients under one repo (shared HTTP/WS utilities, retries, rate-limit handling, typed models), and I’ll clearly flag anything “observed but undocumented” instead of guessing. **Preferred language:** Python (clean packaging, type hints, pydantic/dataclasses, pytest, and great WS tooling). **What you get:** full endpoint coverage, examples for key actions (place/modify/cancel, portfolio snapshot, book/trades), and docs for every method + returned schema, plus a simple config pattern for keys/env and robust error handling. **Timeline / cost (rough):** * **MVP coverage (core trading + portfolio + market + WS):** ~7–10 days * **Full “all documented endpoints” coverage for both platforms + docs/tests/examples:** ~2–3 weeks total Cost depends on whether you want a single unified abstraction layer on top; otherwise it’s straightforward per-client delivery. Best regards, Juan

@abdf2010

Hello there, I reviewed your project Hyperliquid & Lighter API Integration -- 2 and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with Python, Software Architecture, Software Development and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@venplura

Hi there! Are you also expecting me to implement automated reconnection handling for WebSocket streams to ensure seamless real-time updates during network interruptions? Regardless, this is definitely something that I feel confident delivering on, given my past experience. I would love to discuss your project further! Looking forward hearing from you. Kind Regards, Corné

@kishanbwts

I’ve worked extensively with crypto trading APIs, including building full-featured clients for order management, portfolio tracking, and market data aggregation. I focus on covering all documented endpoints with clean, modular code and ensure robust error handling and rate limit compliance. For this project, I suggest using Python or Node.js—both have strong libraries for REST and WebSocket integration, making real-time data and batch order management efficient and reliable. To clarify: - Should the API client support both REST and WebSocket where available? - Do you prefer a single combined client for both platforms or separate modular clients? - Any preferred testing framework or CI/CD setup? Based on the scope, I estimate around 2-3 weeks for a complete, well-documented client covering all endpoints, including example usage scripts. Happy to discuss milestones or adjust timeline to your needs.

@mannaranjit756

Greetings , i can integrate api according to description. I have read your project details carefully , understand requirement . I already dome same type of project . I have 10 years Experience in Web-Design and Web-Development. I am sure you will be happy by my work. Thanks & Regards Ranjit

@Kashifscode

Hello, As an API integration specialist, I have extensive experience in developing robust and comprehensive APIs for cryptocurrency trading platforms - precisely the skills you need for this project. I've invested significant time in working with popular crypto trading APIs, such as Binance and Coinbase, giving me a strong foundation to meet all your requirements with complete confidence. My proficiency extends to multiple programming languages, including Python - a prominent language in the crypto landscape. Given the complexity of this task, my expertise in REST APIs and designing scalable microservices with Node.js will prove vital in implementing your needs proficiently. Furthermore, my understanding of cloud infrastructure and scalable architectures (AWS, Docker, Kubernetes) ensures smooth functionality even under peak demand. You can expect clear documentation on every method and returned data to enable easy integration of these APIs into your platform. My coding style is always clean, well-structured, and comprehensively documented to facilitate future extensibility and modification. Importantly, I place high emphasis on error handling, respecting API rate limits, and ensuring full transparency with no obfuscated code. Offering you a complete package that doesn't just meet your requirements but surpasses your expectations is my primary goal. Together we can bring a synchronized user experience that boosts your platform's efficiency. Thanks!

@bilal0356

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Python, Software Architecture, Software Development, Data Integration, Trading, Automation, API Development, API Integration, Cryptocurrency, REST API Please come over chat and discuss your requirement in a detailed way. Regards

@juanestebana17

Hi, I have built multiple exchange integrations and trading bots for crypto platforms; I will implement complete, documented API clients for Hyperliquid and Lighter by exhaustively mapping their REST and WebSocket endpoints and delivering modular, testable code. I will implement full trading & order management (place/modify/cancel/batch/cancel-all), portfolio/account snapshots, market metadata, order books, trade feeds, funding/fees, and WebSocket streams where available; include robust error handling, rate-limit-aware retries, clear examples (place/cancel/batch/snapshot), and comprehensive method-by-method documentation. Preferred language: Python (async, httpx + websockets). Estimated delivery: 14 days for a full, well-documented client; cost: $550. I will note any undocumented endpoints rather than guess and supply source code with example usage and setup instructions. Do you have test API keys or preferred testnet access and any specific endpoints you want prioritized between trading, portfolio snapshots, or market feeds? Best regards, Juan Aponte- don´t share my contact information and github link and any website links.

@Sturneraiseosa

Hi, how are you? I’ve built production crypto trading clients for REST + WebSocket APIs (orders, fills, positions, balances, rate-limits, and auth flows) and understand the need for a complete, extension-friendly wrapper—not a partial integration that breaks once you go live. My approach is to map every documented endpoint for Hyperliquid and Lighter into a modular client (typed models, retries/backoff, idempotent order helpers, and streaming), plus runnable examples and clear docs so you can trade, cancel, and audit instantly. Preferred language: Python. Estimate: 10–14 days, $650–$750. Let’s discuss your project in detail. Thank you. Edgova IT Solutions