AI Crypto Research Stack
A read-only research stack combining an AI assistant, web search, market data and on-chain analytics to screen assets quickly.
/ quick answer
Move from question to written thesis in under an hour, with every number traceable to a source. No wallet, no signing, no execution. A read-only research stack combining an AI assistant, web search, market data and on-chain analytics to screen assets quickly.
- Research-capable LLM (Claude, ChatGPT or Gemini) — synthesis, structuring and adversarial review
- Web search or a research agent — primary sources, docs, governance forums
- Market data API (CoinGecko or similar) — price, volume, market cap, liquidity venues
- On-chain analytics platform (Nansen, Arkham or Dune) — holders, flows, labelled wallets
- Block explorer — contract verification, mint authority, deployer history
- Notes database (Notion or Obsidian) — thesis log with dates for later review
- Dune-only for SQL-first researchers
- Messari or Token Terminal for fundamentals-heavy coverage
/ frequently asked
What is the AI Crypto Research Stack stack for?
Move from question to written thesis in under an hour, with every number traceable to a source. No wallet, no signing, no execution.
Which tools are in this stack?
Research-capable LLM (Claude, ChatGPT or Gemini) — synthesis, structuring and adversarial review, Web search or a research agent — primary sources, docs, governance forums, Market data API (CoinGecko or similar) — price, volume, market cap, liquidity venues, On-chain analytics platform (Nansen, Arkham or Dune) — holders, flows, labelled wallets, Block explorer — contract verification, mint authority, deployer history, Notes database (Notion or Obsidian) — thesis log with dates for later review.
Are there alternatives to this stack?
Yes — Dune-only for SQL-first researchers, Messari or Token Terminal for fundamentals-heavy coverage.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →On-chain Data
On-chain data is the public record of every transaction, balance and contract call — the raw material for wallet tracking and market research.
- →Deep Research (AI)
Long-running AI research task that produces a cited multi-page report.
Related workflows
Turn this into a repeatable process.
- →AI Crypto Research Workflow
A repeatable research loop: turn a question into market data, on-chain evidence and a written risk view before any position is considered.
- →AI Token Research Workflow
Screen a token in under 30 minutes: contract facts, liquidity structure, holder concentration and a written risk verdict.
- →Analyze A Wallet With AI
Turn a raw transaction history into a readable profile: strategy, holding periods, risk behaviour and realised performance.
- →AI Trading Assistant Workflow
Use AI to research, structure and pressure-test a trade plan, keeping approval and execution firmly human.
Related tool stacks
The tools that run it in production.
- →Research Automation Stack
Search, fetch, extract and synthesise sourced briefs on a schedule.
- →On-chain Research Stack
Explorer, indexer and analytics layers combined so wallet and token questions get answered with verifiable data.
- →Agentic Research Browser Stack
This stack combines an AI browser, an LLM, a vector database, and an orchestration layer to enable autonomous, in-depth web research, data extraction, and synthesis. It facilitates intelligent information gathering beyond simple scraping.
- →Agent Architecture Stack
The minimum tooling to design, run and observe a production agent.
Related prompts
Reusable prompts for this job.
- →Token Research Prompt
Structures a full token due-diligence pass: mechanics, liquidity, concentration, bear case and unverifiable claims flagged explicitly.
- →Crypto Market Analysis Prompt
Produces a structured market brief: regime, liquidity conditions, sector rotation, catalysts and what would change the view.
- →Crypto Research Agent Prompt
System prompt for a research agent that must cite sources, separate fact from inference, and refuse to predict prices.
- →Crypto Portfolio Analysis Prompt
Audits a portfolio for hidden concentration, correlated exposure, custody risk and missing exit plans.
Related use cases
How people apply it, and what came out.
- →Research A Token With AI
A structured AI research pass cut token screening from three hours to 35 minutes and produced documented passes instead of impulse entries.
- →Analyze Wallets With AI
AI profiling of 60 candidate wallets cut a week of manual review to an afternoon and identified 4 worth monitoring.
- →Build An AI Crypto Research Agent
A read-only research agent produced daily briefings on a 30-token watchlist, cutting a 90-minute manual routine to a 10-minute review.
- →Tech Creator Replaces a Research Assistant With a Workflow
A YouTuber cut their research time per video from 8 hours to 90 minutes.
Comparisons & alternatives
Pick between the options.
- →AI Research vs Traditional Research
AI research compresses breadth and drafting; traditional research supplies verification and accountability for the claims you act on.
- →On-chain Data vs Exchange Data
On-chain data shows verifiable wallet-level behaviour; exchange data shows aggregate price discovery. Serious research needs both.