Web3 AI Chat

A conversational platform for onchain research, bringing wallet PNL, token analytics, and multichain DEX and DeFi intelligence into one chat experience.

Industries: Web3, Fintech
Capabilities: UI/UX Design, Software Engineering, Data Engineering, Analytics, Cloud and DevOps
Scope: AI Search & Onchain Analytics
Solutions: Enterprise AI, Web3, Data Analytics

What We Delivered

AI-powered onchain searchExplore blockchain activity through natural-language questions.
Wallet PNL & trader intelligenceInvestigate wallet performance and trading activity.
Token analytics & market moversCompare token metrics and discover market changes.
Multichain DEX & DeFi researchFollow research questions across chains and protocols.
Desktop & mobile chatKeep questions and structured answers accessible across devices.

TL;DR — Project Summary

Ask a question. Explore the onchain activity behind it.

Web3 AI Chat brings natural-language questions to DEX and DeFi research. Users investigate wallet profit and loss, discover top gainers and losers, identify leading traders for a pair, and explore individual tokens across multiple chains. Structured token cards, trader tables, follow-up questions, and conversation history connect discovery with deeper analysis.

Outcomes

Wallet, token, and pair research in one conversational workspace
Multichain discovery with chain-specific questions
Structured answers and follow-up research on desktop and mobile

Onchain research starts with a question

A useful question often spans several views: which wallets performed well, which tokens moved, who traded a pair, and what happened on a particular chain. Web3 AI Chat brings those research paths together through a familiar conversational interface.

The challenge

Wallet performance, token fundamentals, market rankings, and trading activity are difficult to follow across separate analytics views. Users need to move between broad discovery and a specific wallet, token, or pair without losing their research context.

The solution

The delivered platform combines natural-language search with structured onchain results. Suggested questions provide a starting point; token cards and trader tables make answers readable; follow-up questions and history keep related investigations together.

Web3 AI Chat first-use screen with a question field and suggested onchain research prompts

A clear starting point for onchain questions

The first-use screen gives users a direct question field and suggested research prompts. Questions can combine token age, liquidity, volume, holder counts, and market capitalisation to define what to explore.

Start a new research thread
Discover useful questions through suggested prompts
Set the chain context before exploring

Web3 AI Chat home showing chain selection, recent threads, and token discovery suggestions

Find market movers across multiple chains

The home workspace connects recent threads to new questions. Users can ask about top gainers and losers, investigate volume changes, or narrow discovery to a specific chain and token criteria.

Top gainers, losers, and volume activity
Chain-specific or multichain research
Token discovery using multiple criteria

Web3 AI Chat result containing a token analytics card and a trader activity table

From a token question to detailed analytics

Chat answers bring token identity and market metrics into a structured card, with trader activity in the table below. Market cap, liquidity, volume, swaps, holders, and pair age sit together so users can inspect a token and continue with a more focused question.

Single-token details and market metrics
Top traders and buyers for a pair
Wallet addresses, trade amounts, and average buy prices

Web3 AI Chat history showing wallet PNL research threads and share and delete controls

Keep wallet performance research connected

Wallet PNL questions belong to an ongoing investigation. Conversation history keeps previous threads accessible, including questions about the top wallets by PNL for a token over a selected period.

Wallet profit-and-loss questions
Return to previous research threads
Share or manage saved conversations

Web3 AI mobile chat showing a Base token query, token metrics, trader table, and follow-up field

The same research, ready for mobile

The mobile interface keeps the question, token summary, trader activity, and follow-up field in one vertical flow. Users can inspect chain-specific token results and continue asking questions from a smaller screen.

Token metrics adapted to a narrow screen
Trader activity alongside the token result
Follow-up questions within the conversation

The Story, in Parts

One project spans multiple capabilities, so each part pairs its own challenge with the solution Stackera built.

AI Product Engineering
Conversational onchain research
Challenge
Make wallet, token, and pair questions accessible without requiring users to navigate a separate tool for every metric.
Solution
Built a chat workflow for DEX and DeFi questions, with suggested prompts, structured answers, and follow-up input in the same workspace.
Web3 Analytics
Wallet & market intelligence
Challenge
Connect performance questions to the wallets, traders, and assets involved in onchain activity.
Solution
Brought wallet PNL, top traders for a pair, market gainers and losers, and individual token analytics into the platform’s research scope.
Product Design & Engineering
Multichain & mobile experience
Challenge
Keep research usable across chains and screen sizes while preserving the detail in a result.
Solution
Connected chain selection, conversation history, token summaries, and trader tables across desktop and mobile interfaces.

Results & Impact

The completed product brings wallet performance, market discovery, trader activity, and token analytics into one research flow. Natural-language questions provide the entry point, while structured results and conversation history support deeper investigation across multiple chains.