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How to Research Any Crypto Project in 60 Seconds

March 17, 2026

I used to spend 2–3 hours on every token before taking a position. Etherscan for the contract. CoinGecko for tokenomics. DeFiLlama for TVL trends. Then the real work: scrolling through 200+ tweets to gauge whether CT was bullish, bearish, or just shilling bags. By the time I had a complete picture, the entry was gone.

That workflow doesn't scale. If you're evaluating 5–10 opportunities a day—which you need to in this market—you either cut corners on due diligence or you miss opportunities. I built Probe because I needed a way to do both at once.

The Manual DYOR Problem

Here's what a proper token evaluation actually requires: contract verification, audit status, team background checks, liquidity depth analysis, holder concentration, vesting schedules, governance structure, competitive positioning, and—critically—what the market actually thinks about all of it.

That last part is the killer. You can read every audit report and whitepaper, but if CT has already decided the project is dead, the fundamentals don't matter short-term. Sentiment drives price in crypto more than any other asset class. And sentiment lives on X/Twitter, not on documentation sites.

The average trader checks maybe 3–4 of these dimensions before making a decision. The ones who check all of them spend hours doing it. Neither approach is optimal.

How 16 Agents Change the Math

Probe deploys up to 16 AI agents simultaneously. Some search the web—audit databases, blockchain explorers, project documentation, news outlets. Others search X/Twitter in real-time—influencer takes, whale wallet discussions, community complaints, hype cycles. They run in parallel, not sequentially. That's the difference between 60 seconds and 3 hours.

The output is a structured report: executive summary, key findings organized by category, risk factors with severity ratings, social sentiment analysis with cited tweets, and source links for everything. You get 30–50 cited sources in a single document instead of 15 browser tabs you'll never read.

After the initial report, you can ask unlimited follow-up questions at no extra cost. “Drill into that liquidity concern.” “Compare this tokenomics structure to $SIMILAR.” “What happened the last time this team launched a project?” Each follow-up returns a sourced analysis, not a generic summary.

Queries That Actually Work

Is $PENDLE a good investment right now? Analyze tokenomics, team, TVL trends, upcoming catalysts, and what CT thinks about the yield narrative.
Full due diligence on [new token]: team background, contract audit status, holder concentration, liquidity depth, and red flags from X/Twitter.
Compare $ARB vs $OP for a 6-month hold. Governance activity, developer ecosystem, institutional interest, and CT sentiment on both.
What are the top 3 narratives gaining momentum on Crypto Twitter this week? Which tokens are best positioned for each?
Rug pull risk assessment for [token]. Check contract verification, team doxxing, liquidity locks, and community sentiment.

What You Get vs. What It Costs

Quick Research ($0.50) is good for fast sentiment checks on tokens you already know. “What's CT saying about $SOL right now?”—you get a sourced answer in 15–20 seconds. Deep Research ($2) runs more agents with higher reasoning for comprehensive analysis. Deep Research+ ($5) maxes out at 16 agents with the highest reasoning depth—this is what you want for serious due diligence before a large position.

For context: a single Deep Research+ query replaces 2–3 hours of manual work. If your time is worth more than $2/hour, the math is straightforward. And follow-ups are free, so you can drill into any finding without additional cost.

More from the blog

New accounts get $5 in free credits—enough for one full Deep Research+ analysis or 10 Quick Research queries. No credit card required.