In the Web3 data ecosystem, there is a 'novice shadow': individual beginners mistakenly click on 'high-risk data authorization' as soon as they enter, leaking sensitive information without earning any C; a 3-person small team's Web3 tool project blindly procured 'high-priced data packages', only to find that the data was unusable, resulting in a loss of 5000 C; a convenience store owner followed suit to create a 'Web3 membership activity', but without understanding the rules, integrated data tools and ended up giving away 2000 yuan in discounts due to redemption errors—'Novices lack experience and are prone to pitfalls', causing many who want to participate to hesitate for fear of losses. Chainbase, as a decentralized data infrastructure, is using 'risk warnings + pitfall guides' to create a 'data pitfall navigation instrument', helping beginners avoid privacy, profit, and operation pitfalls while assisting small projects in preventing cost, compliance, and effectiveness losses, enabling novices to safely get started.
Its core capability is to transform 'invisible pitfalls' into 'visible warnings' rather than letting novices accumulate experience by 'paying tuition'. On the technical side, Chainbase has built the 'Pitfall Protection Hub': for individual beginners, the hub has launched 'Real-time Risk Warnings'—when users click on data tasks, the system will pop up 'Pitfall Tips' (e.g., 'This task requires authorization of full transaction records, which may leak consumption habits; it is recommended to choose the “anonymized task”' 'This demand side has a history of slow settlement; it is recommended to prioritize 'instant payment tasks''), and will also mark the 'Safety Level' (Green = Low Risk, Yellow = Proceed with Caution). A student from Shenzhen, Xiao Lu, almost clicked on a 'high-risk authorization task', but switched in time due to the warning, protecting her privacy and selecting a high-yield safe task, saying, 'With the warning, it feels like someone is reminding me beside, and I'm not afraid of clicking blindly.' For small and medium projects, the hub has developed a 'Data Procurement Pitfall Tool'—by inputting 'Procurement Budget, Demand Type', the system will check for 'overpriced low-quality packages', 'data and demand mismatch', and recommend 'high cost-performance solutions', while attaching 'past user pitfall cases' (e.g., 'A certain project bought a '10-chain data package', but only used 2, wasting 80% of the cost'). A certain 4-person DeFi project avoided the 'high-priced multi-chain package' with this tool, opting for a 'pay-per-use interface', saving 3000 $C per month; for offline merchants, the hub designed 'Activity Pitfall Templates'—the templates mark 'Redemption Pitfalls' (e.g., 'Need to test the redemption compatibility of different wallets in advance to avoid customers being unable to use discounts') 'Rule Pitfalls' (e.g., 'NFT membership discounts need to clarify 'holding time requirements' to prevent non-target users from taking advantage'), and also includes a 'Pitfall Inspection Checklist'. A convenience store in a certain community in Beijing conducted item-by-item checks using the template before the activity, avoiding 'redemption failures' and 'rule loopholes', and did not spend a single extra penny during the activity.
When the ecosystem is implemented, Chainbase does not engage in 'post-remedy' but focuses on providing preemptive protection for scenarios where 'novices are prone to pitfalls'. For individual beginners, it launched an 'Avoid Pitfalls Knowledge Base'—categorized by 'Privacy Pitfalls', 'Profit Pitfalls', and 'Operation Pitfalls', using comics to tell 'Pitfall Stories' (e.g., 'Xiao Ming authorized full data, leading to spam promotion harassment'), teaching 'Avoidance Techniques' (e.g., 'Check if there is an 'anonymization option' before authorization'), currently, 3.55 million novice users have viewed the knowledge base, reducing the pitfall rate from 50% to 10%; for small and medium projects, it launched 'Pitfall Accompaniment'—before project data procurement and tool development, consultants will help 'check risks' (e.g., 'This data source has compliance doubts and may face regulatory risks'), and also provide 'Trial and Error Solutions' (e.g., 'First buy a 'small test package', verify the effect, then purchase in large amounts'), a 3-person GameFi project avoided the 'data compliance pitfalls' thanks to accompaniment, and also saved on 'ineffective procurement' costs; for offline merchants, it started 'Pitfall Training'—providing merchants with a '1-hour quick training', teaching 'how to identify the 'hidden fees' of data tools' and 'how to deal with customers' 'redemption issues', recently, after training a fruit shop in Hangzhou, the owner successfully avoided the 'automatic deduction for tool renewal' pitfall, and also learned how to quickly handle redemption failures. Even more considerate, Chainbase also developed a 'Pitfall Loss Calculator', inputting 'the pit one almost stepped into (e.g., 'high-priced package')', one can calculate 'Fortunately, I didn't step in, saving how much $C/cost', allowing novices to intuitively feel the value of avoiding pitfalls.
In the long run, its value lies in 'using the 'Pitfall Navigation' to reduce the 'trial and error cost' of Web3 data for novices', enabling them to participate confidently without fear of pitfalls. Currently, Chainbase has 3.55 million individual users and 165,000 small and medium cooperative projects/merchants avoiding pitfalls through the navigation tool, among which 90% of novices state, 'I dare to try boldly because of the pitfall tips', and 85% of small projects have reduced unnecessary expenditures by more than 30% through avoiding pitfalls. Recently, the project also reached a collaboration with the Web3 security platform CertiK, conducting 'security ratings' for data tasks and data packages to further enhance warning accuracy, and it is expected to add 2.55 million individual users; cooperating with offline merchant insurance platforms, providing 'event loss insurance' for merchants qualified through pitfall training (if they still suffer losses due to low-probability pitfalls, they can receive C compensation), strengthening pitfall protection. The 'pitfall property' of the C token is also being strengthened: Users avoiding high-risk pitfalls can enjoy a 10% bonus on C earnings; projects using C to procure pitfall accompaniment services can enjoy a 30% discount; users/projects staking C can receive 'high-risk pitfall warnings' preferentially, improving pitfall response speed by 50%, this design keeps the C staking rate stable at 99%, with daily trading volume increasing by 160%.
From helping students protect their privacy through warnings, to enabling small projects to save costs using tools, and training convenience stores to avoid losses, Chainbase is providing Web3 data novices with a 'safety net' through the 'Pitfall Navigation Instrument'. As the coverage of pitfall avoidance scenarios increases and warnings become more precise, this 'novice-friendly' data platform may make 'novices unafraid of pitfalls and easily get started' a new experience in the Web3 data ecosystem, encouraging more novices to take the first step in participation.
