SwarmLens

SwarmLens writes a due-diligence report on any tokenized listing on the Swarms Marketplace, for builders and users who want to know whether there is a real product behind a token. Give it a ticker, name, listing id or token address. It pulls only public data: the listing and its code or prompt body, reviews, the creator's launch history, an exact-copy check against every other tokenized listing, and live activity from Swarms competition boards or DexScreener. It scores four parts (Substance, Originality, Creator, Activity) and lists red flags in plain English. It reports facts and signals only, never buy or sell advice.

Requirements: Python 3.10+, swarms, requests, and an API key for any model swarms supports (default gpt-4o-mini). Run with --raw to get the data and scores without a model.

Example: python swarmlens.py NOCA returns overall 62/100, flagged "No runnable agent code is public" and "No use cases are filled in", with 3 traders and $417 of volume in 24h.