Next‑Gen On‑Chain Monitoring & Risk Engine
The system will automatically analyze any wallet address, token contract, or Creator.bid link you enter. All types are supported and will be resolved automatically.
BluTrust protects users by analyzing developer behavior, not token promises. Every red flag reported by the community sharpens BluTrust's detection engine. Together, we trace scammers before they strike again.
BluTrust was created in response to rampant rug pulls and clone scams on platforms like Creator.bid. Since July 3rd, it has been actively learning from real onchain activity, scam patterns, and direct user feedback.
No hype. No spin. BluTrust shows the raw blockchain data behind every agent: wallet history, contract behavior, suspicious connections. Every user sees what's real - and what's risky.
BluTrust evolves constantly. It learns from each scam it catches, updates heuristics and trust models, and adapts to new tactics. The goal: always stay one step ahead of the next deceptive dev.
In a week, we will start claiming 5% every 3 days and doing buybacks.
Develop an AI‑driven agent that continuously ingests on‑chain events (transactions, logs, metrics) and automatically kicks off analysis once a predefined data threshold is reached, ensuring representative samples and minimizing noise.
Move to asynchronous, parallel data collection from multiple explorers and nodes; introduce caching, indexing and batch processing; and apply ML‑based validation and deduplication to accelerate ETL pipelines and achieve ≥ 99% accuracy.
Beyond Dev‑unlock events, capture fee withdrawals, any approve/transfer/swap interactions post‑unlock, and complex scenarios (multisigs, DeFi pools), with flexible filters by address, token and event type.
Implement horizontal scaling for major network (BSC); offer a public REST/GraphQL API and client libraries (JS, Python, Go) with examples; and provide a native SDK plus webhook notifications for seamless third‑party integration.