Solana Arbitrage Scanner & API need Web Development

Contact person: Solana Arbitrage Scanner & API

Phone:Show

Email:Show

Location: cheras, Malaysia

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I want a production-ready scanner that lives entirely on Solana and continuously watches Raydium and Jupiter for multi-hop price gaps. It must spot the spread, calculate the theoretical profit, and immediately record every discovery with millisecond-level timestamps alongside full token metadata.

False-positive protection is critical, so the engine has to run three on-chain checks before it ever logs an opportunity:

• Token liquidity analysis to confirm there is enough depth to exit the trade
• Ownership and access-control verification so we know a rogue contract owner can’t freeze funds or alter fees
• A fast transaction-simulation pass that highlights typical rug-pull or surprise tax behaviour

If any of those tests fail, the event should be tagged as a potential honeypot / rug and stored separately.

The scanner does not execute trades; it only produces data. All results must be accessible through a REST API that ships with full key management: create, revoke, rotate, and optional IP whitelisting. A lightweight web console should let me browse recent logs, inspect individual token profiles, and handle API keys without touching the command line.

I need the codebase to be modular, clearly structured, and fully documented so I can plug a trading bot into it later. Clean separation between the core scanning logic, the risk-analysis layer, the API, and the UI is essential.

Deliverables
1. Source for the Solana-native scanning service with Raydium & Jupiter integration
2. Honeypot/rug detection module implementing the three checks above
3. REST API with key management and IP controls
4. Simple web admin UI (tokens, logs, keys)
5. Unit tests, setup scripts, and architecture docs explaining how to extend or embed the scanner in another project

I will treat the project as complete when I can run the service on my own node, see real-time opportunities appear in the log, verify the risk tags, and query everything through the documented REST endpoints while managing keys from the browser." (client-provided description)


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