Proof of Usefulness Report

GAG Token

Analysis completed on 2/10/2026

+335
Proof of Usefulness Score
Certified Problem Solver

Adgager is a verified, revenue-generating market research company (founded 2016) with over 300 enterprise clients (including major brands like L'Oreal) and a user base of tens of thousands. The project is effectively pivoting to a Web3 model ('DePIN' for consumer insights) using the GAG token to incentivize survey participation and cross-border rewards. While the token market cap appears small (~$80k reported, though daily volume of ~$100k suggests higher actual activity), the underlying business provides substantial 'Proof of Usefulness' compared to pure-speculation crypto projects. The platform solves a genuine utility problem (payment friction for micro-rewards) and demonstrates solid traction. The score reflects a legitimate, established business with comparable scale to the 'HackerNoon' calibration reference.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility1.0)
Audience Reach Impact0.8)
Technical Innovation0.6)
Evidence Of Traction1.0)
Market Timing Relevance0.4)
Functional Completeness0.2)
Subtotal+340
Usefulness Multiplierx0.985
Final Score+335

Project Details

Project URL
Description
Adgager is an AI-driven market research and consumer insights platform that turns real user feedback into measurable decisions for brands. Powered by our verified participant network (“Gagers”) and the GAG utility token, we deliver faster, higher-integrity insights while rewarding participation and strengthening long-term engagement. We’re building a scalable, data-secure research layer that bridges Web2 enterprise demand with Web3-native incentives.
Audience Reach
Adgager reaches a large verified consumer panel and an active Web3 community. We engage tens of thousands of verified participants monthly through surveys, missions, and incentive-based research flows, while publishing regular updates across our community channels and ecosystem partners. Our reach scales with ongoing enterprise research projects and community campaigns.
Target Users
Adgager is built for brands, agencies, and product teams that need fast, high-integrity consumer insights—especially in competitive categories like finance, FMCG, retail/e-commerce, telecom, and automotive. On the supply side, it’s for everyday users (“Gagers”) who participate in research and earn ecosystem benefits. We have served 300+ customers across multiple industries, including leading national and international brands.
Technologies
Other, Adgager runs on a custom, production-grade stack built for large-scale panel operations and real-time analytics. Core components include a modular API architecture, relational database layer, event logging/monitoring, fraud & quality scoring pipelines for respondent integrity, and EVM-compatible smart contract infrastructure on BNB Smart Chain for token utility. Our product surfaces include web dashboards and mobile experiences for participant engagement and research delivery.
Traction Evidence
Website / Product: [https://www.adgager.com/en/home/] GAG Token GitBook / Whitepaper: [https://gagtoken.gitbook.io/…] GAG Token on MEXC (trading pair): [https://www.mexc.com/exchange/GAG_USDT] GAG Token on LBank: [https://www.lbank.com/trade/gag_usdt] TradingView: [https://tr.tradingview.com/chart/?symbol=MEXC%3AGAGUSDT] Company / Community channels: [https://www.linkedin.com/company/adgager] [https://x.com/gagtoken] Proof of adoption: 300+ customers served across multiple industries (finance, FMCG, retail, automotive, telecom), with ongoing monthly research activity.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline