$LARPY is an automated due diligence engine for crypto projects.
Paste a contract address, domain, or GitHub URL and it dispatches 8 parallel analyzers across on-chain state, DNS history, website signals, GitHub patterns, API validation, and cross-signal correlation.
Output is simple:
deterministic 0–100 score
per-category breakdown
full weighted flag manifest
Cached. Shareable. API-ready.
Most crypto research is still done in fragments. Someone checks the chart, someone else scans the site, someone looks at GitHub, and the final conclusion is usually a mix of instinct and incomplete information. LARPY was designed to replace that workflow with a structured engine that analyzes on-chain state, website credibility, domain history, development activity, and API integrity in parallel, then weights the signals into one coherent output.
Crypto due diligence should be based on signals, not surface-level impressions.
That’s why we built $LARPY.
CA: 👉🏻 2TtnKh5VTsFvFzBFZBxmEcx9Mn7hNor8KChCW5NTpump
Most people research crypto projects in sequence:
check the contract, then the site, then socials, then GitHub, then domain records.
LARPY does it differently.
It dispatches 8 analyzers in parallel, then runs a cross-signal correlation layer on top.
So instead of isolated clues, you get a system that evaluates how the signals strengthen or weaken each other.
That’s where the real edge comes from.