DappLooker

TLDR

DappLooker is a no-code blockchain analytics platform that lets developers, protocol teams, and non-technical users build charts and dashboards from on-chain data and subgraph indexes without writing complex code. Founded in 2021 in Pune, India, it has grown to support 25+ blockchains, index over 1,000 protocols, and deliver more than 10,000 analyses. By 2024, the team reported seven-figure annual revenue with 3x year-over-year growth. More recently, DappLooker has expanded into AI-ready data infrastructure for autonomous trading agents and DeFi applications.

Core Mechanism

DappLooker's analytics engine connects to multiple blockchain data sources — smart contracts queried directly, subgraph-indexed data via The Graph, and off-chain datasets imported as CSV or JSON APIs — and presents them through a drag-and-drop query builder and dashboard editor. Users compose questions in a point-and-click interface that generates SQL under the hood, visualize results as charts, and publish or fork dashboards publicly.

The subgraph-native approach is central to the platform's design. Because The Graph's subgraphs provide pre-indexed, structured blockchain event data, DappLooker can surface protocol metrics without users needing to decode raw transactions. This lowers the barrier significantly for DeFi and NFT protocol teams that already maintain subgraphs but lack internal analytics capacity.

For developers wanting programmatic access, DappLooker offers a JavaScript/TypeScript SDK (dapplooker-sdk on GitHub) that exposes dashboard data as structured API responses, letting teams embed analytics into their own frontends or automated workflows.

Key Features

No-code visual builder — A drag-and-drop interface generates charts and dashboards from on-chain data, subgraphs, and off-chain sources. No SQL expertise is required, though advanced users can write raw queries.

Multi-source data integration — The platform merges on-chain smart contract data, subgraph indexes, and off-chain inputs into a single unified workspace, enabling cross-source analysis in one dashboard.

Real-time smart contract queries — Users can call live contract functions and immediately visualize the output, useful for monitoring yield rates, token balances, or protocol state.

Dashboard sharing and forking — Published dashboards can be forked by the community, enabling shared analytics resources across protocol ecosystems.

Data export — On-chain datasets can be downloaded in standard file formats for external use.

SDK and API access — The dapplooker-sdk allows programmatic access to dashboard data, enabling downstream applications to consume analytics as structured API responses.

AI Data Layer

DappLooker has extended its platform with an AI-focused product surface marketed as DappLooker AI. Positioned as "the intelligence layer for crypto-native applications," it delivers unified APIs structured for machine consumption: real-time market data feeds, wallet intelligence, yield intelligence, and execution-grade signals designed for AI agents and automated trading systems.

Two products sit atop this layer: HyprEarn, an automated perpetual trading platform, and Loky AI, a trading signal engine. These represent DappLooker's move from analytics tooling toward active data infrastructure for the programmatic trading and DeFi automation market.

Blockchain Support and Solana Presence

By the end of 2024, DappLooker supported 25+ chains, up from fewer than 10 at launch — a 3x expansion in a single year. The documented list includes Ethereum, Polygon, Arbitrum, Celo, NEAR, Stellar, BeraChain, Manta Network, Moonbeam, and MultiversX, among others.

DappLooker hosts a Solana Tokens Leaderboard dashboard on the platform, indicating data coverage for the Solana ecosystem. The platform's subgraph-native approach and multi-chain positioning mean it is not tied to any single network.

Tokens and Assets

DappLooker does not have a native governance or utility token. The platform operates on a subscription or usage-fee model. No token issuance or DAO structure has been documented in official sources.

Team and Background

DappLooker was founded in 2021 by Abhay Singh (CEO) and Abhinav Singh (Co-founder and CPO), with Vikash Choubey as CTO. The team is headquartered in Pune, India and had approximately 15 employees as of mid-2026.

The company has not raised formal venture rounds but received ecosystem grants from Moonbeam, Celo Foundation, Near Foundation, Aave Grants DAO, SubQuery Network, and Connext — a path common among analytics tooling teams that grow alongside the ecosystems they support.

Security and Audits

DappLooker is a data analytics and API platform, not a smart contract protocol holding user funds. It does not present a smart contract attack surface requiring formal security audits. Standard security considerations apply to its API infrastructure and data pipeline.

Competitive Position

DappLooker competes with Dune Analytics and Flipside Crypto in the no-code blockchain analytics segment. Its stated differentiators are cost — positioning as "affordable" relative to Dune's enterprise tiers — and native integration with subgraph data, which reduces setup friction for protocols already using The Graph. The platform reports that customers achieve 60% cost savings and 80% time savings compared to alternatives, though these figures come from DappLooker's own marketing. In 2024 the company reported 1,000+ protocols onboarded and 10,000+ analyses executed on the platform.

The AI agent data layer marks a newer strategic direction, targeting a segment — AI trading and automation infrastructure — that has attracted significant developer attention across the broader crypto market since 2024.

Solana Fit

DappLooker's inclusion in the Solana Compass project directory reflects its cross-chain positioning and its presence in the Solana analytics ecosystem. For Solana protocol teams seeking accessible, no-code analytics tooling as an alternative to writing custom Dune queries, DappLooker offers a dashboard-builder approach built around subgraph and API data sources that maps naturally to projects using The Graph's Solana indexer support.