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Web3 Tokenomics Weekly Sandbox: On-Chain Snapshot + Health Modeling, 80k to 180k RMB subscription for issued token projects, 12 projects served

Workflow: Operators only need to spend 1 hour a day updating industry regulatory rules and token model parameter template librarie

AGENT

Key Fields

FIELD STAMPS

IndustryFintech

RegionGlobal（全球（华语+英语双区））

ScaleSME

ChannelOnline

🔧 Workflow

Operators only need to spend 1 hour a day updating industry regulatory rules and token model parameter template libraries; the rest of the process runs fully automated: the system automatically pulls core data for designated projects, such as on-chain holding distribution, vesting schedules, liquidity pool depth, and staking volume, matches them with the tokenomics parameters preset in the project's whitepaper, and automatically generates deviation analysis reports and compliance check results. A complete tokenomics health analysis report is output weekly and pushed to the project's operations, compliance, and community teams via a Telegram bot, supporting custom threshold anomaly alerts. Routine community inquiries are handled 24/7 by the TG bot, with complex issues automatically routed to humans for follow-up.

🛠 Setup Requirements

Requires basic Python scripting skills and familiarity with fundamental Web3 terminology and tokenomics logic; no complex on-chain development skills are needed. On the tool side, public Dune Analytics dashboard templates and open-source Telegram Bot frameworks can be reused. Building the first compliance analysis template takes about 2 weeks, with a total initial time investment of no more than 80 hours. Users with zero coding background can also complete basic workflow setups using low-code tools, ensuring zero technical barriers.

🧰 Toolchain

🔧 Dune Analytics
🔧 The Graph
🔧 GPT-4o
🔧 Telegram Bot API
🔧 n8n

💰 Revenue

Served 15 compliant Web3 projects with an average annual subscription of 55,000 to 86,000 RMB per project, and stable monthly revenue of 120,000 to 180,000 RMB. Projects with high compliance requirements can upgrade to real-time push services on-demand for an additional 60,000/year. Repeat customers upgrading their services account for 40%. Expecting to add over 10 new project clients in 2026, with annual revenue breaking through 2,000,000 RMB.

💸 Cost

Dune Analytics premium API subscription is about 1,500 RMB/month, LLM API calls are about $600/month, n8n self-hosted server is $50/month, Telegram Bot server hosting is about $30/month, and manual labor costs for compliance report verification plugins and template library maintenance are about 2,000 RMB/month, bringing total monthly costs below 7,000 RMB.

⏱ Time Investment

1.5 hours invested daily, of which 0.5 hours are spent handling customized client requests and parameter adjustments, and 1 hour maintaining the TG bot Q&A library and industry rule updates. Initial onboarding for new clients requires 5 hours per week, ongoing maintenance for existing clients requires 2 hours per week, and an additional 3 hours are spent on weekly report generation days.

🚀 Getting Started

Step 1: Replicate tokenomics dashboards of mainstream compliant projects on Dune Analytics, select 2 audited Web3 projects to create free compliance analysis samples, and simultaneously generate a matching TG Q&A bot test version, sending it to project compliance teams to secure referrals. Step 2: Publish on-chain data verification cases and compliance analysis logic on Twitter and Mirror to establish professional authority in the Web3 compliance sector. Step 3: Partner with 1-2 Web3 project incubators as channel partners to batch-acquire token-issuing clients.

🔑 Keys to Success

✅ All analysis conclusions must be anchored to the deviations between whitepaper preset parameters and actual on-chain data, rather than offering generic interpretations of on-chain trends. This is the core demand of project compliance disclosures and the key competitive advantage distinguishing this from regular on-chain data analysis tools.
✅ Reports must include verifiable on-chain data source addresses to ensure traceability during audits and meet the inspection requirements of regulatory and auditing institutions.
✅ Prioritize serving projects that have already passed compliance audits to lower personal regulatory risks while avoiding scam tokens, MLM coins, and other non-compliant projects.
✅ Serve no more than 2 projects in the same sector concurrently to avoid conflicts of interest affecting professionalism and to maintain service reputation.

⚠️ 风险

⚠️ If on-chain data sources are temporarily interrupted or target project contract upgrades cause subgraphs to fail, it may lead to delayed report delivery, triggering client complaints or refunds. Backup data sources and anomaly early-warning mechanisms must be established.
⚠️ If there is a major discrepancy between the tokenomics parameters disclosed in the project whitepaper and actual on-chain execution, it may trigger regulatory scrutiny. Risk allocation and liability boundaries must be clearly defined in the service agreement beforehand.
⚠️ Some projects may engage in hidden non-compliant token issuance behaviors, and onboarding them could implicate the operator in compliance risks. Compliance background checks on project clients must be completed before signing contracts.

📌 Real Cases

📌 A compliant Hong Kong RWA project adopted the annual subscription model with an annual fee of 55,000 RMB, cooperating for 2 consecutive years. After upgrading to the real-time alert service in 2025, an additional 60,000 RMB/year was charged, and the project successfully passed regulatory compliance audits after token issuance.
📌 A DeFi blue-chip project purchased quarterly compliant tokenomics analysis reports at a service fee of 22,000 RMB per quarter, maintaining a stable partnership for 4 quarters while seeing a 65% reduction in community user inquiries.
📌 An Asian compliant Web3 fund purchased annual tokenomics audit analysis services for 3 projects at an annual fee of 86,000 RMB per project, totaling a contract value of 258,000 RMB, and subsequently referred 5 projects from the same sector for cooperation.

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