Metric
ChatGPT / DeepSeek / Gemini / Claude
ASCN V1.2
Focus
General-purpose AI. Designed to answer questions across thousands of topics from coding and science to history, where crypto is just one of many domains.
A multi-agent system composed of crypto-specialized expert agents. They work in parallel and distribute workload, delivering faster responses without sacrificing depth.
Price per request
From $0.10 per request. You often get analysis based on stale data without on-chain context or live sentiment. Example: a token is pumping, you ask why. GPT answers: “likely positive news or growing interest in the project.” Sounds logical, but in reality whales are already taking profit and selling into retail. You end up paying for analysis that can push you into a loss.
From $0.002 per request — dozens of times cheaper. Same situation: token is pumping. ASCN shows the full picture: volumes are up, but it’s mostly retail buying while smart money is exiting. There is a $5M net inflow to exchanges in an hour and funding is overheated. Conclusion: a retail-driven pump where big players are taking profit. You pay less, get much more signal, and make decisions based on data, not guesses.
For trading
Provides generic tips and definitions pulled from the internet. Has no idea what is happening on the market right now. Example: a token starts moving without obvious news. The answer is built around general project info with no specifics. GPT does not see large wallet activity, does not track institutional flows, and does not distinguish buyer types. It only notices price movement without understanding the cause. No direct on-chain access means you are effectively trading blind — you either get lucky or not.
ASCN gives concrete data for decisions: who is buying, how much, why price is moving, where the risks and opportunities lie. For the same pumping token, ASCN can highlight accumulation by whales before the move even starts. The model distinguishes smart money from regular market participants and provides precise signals for entries and exits.
Telegram / Twitter
Does not read social media in true real time. Answers are based on older, unverified content. General LLMs do not see when dozens of paid channels start shilling the same token at once and do not recognize coordinated pumps.
50K+ crypto channels and chats. ASCN sees what is being discussed right now and analyzes sentiment. Each influencer and channel has a trust score, so we separate independent analysts from paid shillers. Opinions from trusted sources are prioritized in the final answer.
Data coverage
Typically trained on data up to 2025. Main source is public web content, so you end up with a high-level project description. Then you go to one site for volumes, another for wallets, a third one for technical levels. In practice that means ~10 tabs open, 30–40 minutes of work and still an incomplete picture.
One request to ASCN returns on-chain flows (who buys, who sells), sentiment from Telegram and X/Twitter (what people say and whose opinion matters), technical levels, derivatives data (funding, open interest), and fresh project news. You no longer need to stitch the story together from ten different tools every time the market moves.
On-chain
Has no real visibility into blockchain activity. It does not know who is buying, where capital is flowing, or what whales are doing. For general-purpose models, on-chain is a black box — decisions are made without seeing the critical layer of data.
20+ indexed blockchains where you can see:
— exchange flows (real-time inflows/outflows);
— who is buying: whales, smart money, institutions or retail;
— top holders and distribution across wallets;
— large DEX swaps and who is behind them;
— top PnL wallets and their current positions.
Real-time analysis
Relies on delayed and historical context. Example: a major exchange announces a listing — a general model can surface the headline but does not see how the market actually reacted. It cannot tell whether capital is flowing onto or off the exchange or whether whales are buying or selling.
Understands what is happening right now. Events that occurred 10 seconds ago are already reflected in the answer. For the same listing, ASCN instantly picks up the news and shows the reaction: volume shift, price move, whale behavior, and social chatter — all in one view. You get the full picture at the moment of the event, while the opportunity is still there.