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DappLooker

DappLooker

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About DappLooker

DappLooker is a no-code analytics and visualization platform for blockchain networks and decentralized applications (DApps), enabling users to create dashboards and charts without technical skills.

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DappLooker is a powerful Web3 analytics platform designed to simplify blockchain data access and visualization for both developers and non-technical users. Its mission is to democratize smart contract analytics and provide intuitive tools that allow teams to analyze, monitor, and act on complex blockchain data without writing code. With native support for subgraphs, on-chain and off-chain data integration, and an advanced no-code dashboard editor, DappLooker empowers DAOs, protocols, and dApps to make fast, data-informed decisions.

Developed by Namas Labs, DappLooker supports over 20 blockchains including Ethereum, Polygon, NEAR, Arbitrum, and Moonbeam, and is trusted by leading Web3 projects like Uniswap, The Graph, Aave, and Celo. The platform’s comprehensive product suite—featuring AI-driven charting, Subgraph analyzers, DataBOTs, and API SDKs—enables seamless access to real-time metrics, performance data, and community insights across decentralized ecosystems.

Launched by Namas Labs, DappLooker has quickly become a cornerstone in the Web3 data analytics landscape by making blockchain data analysis accessible to non-coders, builders, and protocol teams. The platform began as a no-code solution and has grown into a full-service analytics hub that integrates smart contracts, subgraphs, and external APIs to offer one of the most versatile tools for blockchain insights.

With over 923 onboarded projects, 23+ network integrations, and more than 461 million user insights delivered, DappLooker serves as a trusted analytics engine for major names like The Graph, Uniswap, Aave, and Celo. The platform's support spans leading chains including Ethereum, Polygon, Moonbeam, NEAR, BeraChain, SubQuery, and others.

A standout capability of DappLooker is its real-time AI Studio, which allows users to generate charts and dashboards through natural language queries—drastically reducing analytics time. The Subgraph Analyzer gives power users the ability to interactively explore indexed data, while the DataBOTs can retrieve analytics from community channels like Discord and Telegram.

Compared to analytics tools like Dune Analytics, Nansen, and Flipside Crypto, DappLooker stands out by offering a blend of on-chain, off-chain, and community data—all accessible through a unified interface with no coding required. It is positioned as a truly inclusive tool for Web3 teams that want both depth and ease of use.

DappLooker provides numerous benefits and features that make it a standout in the Web3 analytics ecosystem:

No-Code Analytics: Anyone can create custom dashboards using drag-and-drop tools and visual query builders.
AI-Powered Data Studio: Generate charts and insights simply by typing in natural language queries.
Subgraph Native Support: Deep integration with The Graph and SubQuery for real-time, flexible querying.
Multi-Chain Data Views: Combine data from 20+ networks like Ethereum, Polygon, Arbitrum, and Moonbeam into unified dashboards.
Off-Chain Analysis: Integrate external sources via JSON APIs or CSVs for a holistic data strategy.
Embed and Export: Export data in common formats and embed dashboards anywhere—without watermarks.
SDK & API Access: Developers can easily plug analytics into custom UIs with the DappLooker SDK and chart APIs.

DappLooker makes it easy for teams, DAOs, and communities to start analyzing Web3 data instantly. Here’s how you can get started:

Go to DappLooker.com and click on “Get Started Free” or “Book a Demo” if you want a guided walkthrough.
Create your free account by entering your email and setting up a secure password.
Once inside the dashboard, choose from various modules like No-Code Analytics, AI Studio, or Subgraph Analyzer.
Connect your blockchain data source—whether it’s a smart contract, subgraph, or external API.
Use the drag-and-drop editor or type your questions in natural language to generate real-time charts and dashboards.
Share your dashboards with your team or community using public links or embedding them in your website or dApp.

DappLooker FAQ

DappLooker empowers smart contract developers by offering real-time analytics through features like Smart Contract LiveQuery. This allows users to execute queries on contract methods and view live responses directly within the dashboard. Using DappLooker, developers can track key metrics like transaction frequency, gas usage, and function call patterns, and instantly visualize the data without writing a single line of code.
The AI Studio on DappLooker allows users to generate data visualizations using simple natural language prompts. Non-technical users can type questions like "Show me the top wallet interactions on Ethereum this month," and the system will automatically run the appropriate queries and present results as charts or tables. This bridges the gap between technical data and accessible insights for all Web3 users.
DappLooker combines both on-chain and off-chain data, allowing communities to upload CSVs or integrate APIs to track off-chain activity alongside blockchain metrics. For example, DAO participation from Discord or Telegram can be connected to wallet activity on-chain. This creates a 360-degree view of community behavior within DappLooker, which is invaluable for growth teams, community managers, and protocol governance.
DappLooker allows users to fork, share, and embed dashboards seamlessly, which is especially useful for DAOs and protocol contributors. Teams can publish KPIs or proposal metrics as public dashboards, enabling transparency and data-driven governance. These dashboards can be linked to forums, embedded in dApps, or shared on social platforms with live data updating automatically.
Yes, DappLooker includes advanced features for whale tracking and token flow analysis. Users can view inflow/outflow maps, track top holder concentrations, and identify wallet clusters, including developer-controlled addresses. This level of insight is especially useful for investors, auditors, and protocol analysts who need to monitor market manipulation or early investor behavior via DappLooker.