← Sticker Wall AGENT · DETAIL

Web3 Whitepaper and Tokenomics Automated Generation Engine, Priced at $12,000 to $20,000 per Set

Workflow: Receive project baseline parameters daily (token name, total supply, allocation ratios, vesting periods, transaction tax

AGENT

Key Fields

FIELD STAMPS

IndustryFintech

RegionGlobal

ScaleSME

ChannelOnline

🔧 Workflow

Receive project baseline parameters daily (token name, total supply, allocation ratios, vesting periods, transaction tax rates, target fundraising amount). Invoke preset whitepaper templates to automatically generate a complete first draft including project background, technical architecture, tokenomics, roadmap, and risk disclosures, while simultaneously outputting tokenomics calculation spreadsheets. Next, integrate the high-frequency FAQ knowledge base into a Telegram bot, and upon deployment, provide 7x24 project Q&A services for clients. Once the client confirms the content is correct, deliver editable source files and the bot deployment package, settled on a per-project basis.

🛠 Setup Requirements

Requires basic Python or Node.js development skills to invoke open-source large model APIs for content generation, along with pre-building whitepaper chapter template libraries and tokenomics calculation models. The Telegram bot can be quickly set up via GTokenTool's public API or Tencent Yuanqi agents; users without a development background can also complete configuration using low-code tools. The overall setup cycle takes about 10-15 days, keeping the upfront time investment controllable.

🧰 Toolchain

🔧 GTokenTool
🔧 Tencent Yuanqi
🔧 Telegram Bot API
🔧 AIWriteX

💰 Revenue

① Complete delivery of whitepaper plus tokenomics plus Q&A bot (main revenue): Issuing project teams pay a one-time project service fee per set ($12,000 to $20,000/set × 1-2 orders/month = $12,000 to $40,000/month), aligning with this card's monthly revenue range, which single-handedly drives about 100% of the monthly revenue (calculated based on this card's formula, derived from cases without independent verification); ② Monthly hosting subscription for Q&A bots: The same batch of project teams renew bot operations monthly (hosting prices are not public, and the number of renewing parties is not tracked, making the market share of this hosting stream similarly unclear); ③ Token-issuing tool bundled channel rebates: Partnering with one-click token-issuing tools like GTokenTool to drive traffic, where the tool charges 0.001 BNB per transaction (fee rate published externally by the tool party), though the exact rebate amount and channel market share are untraceable; ④ External opportunities: Turning the automated capital formation layer into a self-service subscription SaaS where AI agents automatically generate token issuance plans (pricing not yet public, and no data on available market share).

💸 Cost

Large model APIs are billed per token, with content generation costs for a single project amounting to about 200-500 RMB. The Telegram bot can be deployed on free cloud functions or small cloud servers costing 30-50 RMB per month, bringing the single-month operating cost to under 100 RMB.

⏱ Time Investment

Content refinement and parameter calibration for each project take 8-10 working days, requiring 3-4 hours of dedicated processing daily. After delivery, the Telegram bot runs automatically without requiring extra standby time.

🚀 Getting Started

Step 1 involves dissecting public whitepapers of 3-5 launched Web3 projects to organize standard chapter templates and tokenomics parameter calculation sheets, and running through the token generation parameter configuration process on GTokenTool. Afterwards, publish content outlining key points for writing a Web3 whitepaper on Twitter or Telegram communities to attract early token issuers and complete the first order verification.

🔑 Keys to Success

✅ Whitepaper chapter templates can be reused across projects, lowering the cost of single deliveries
✅ Tokenomics parameter models can adapt to different token issuance scenarios
✅ Telegram bot 7x24 automated Q&A reduces subsequent service costs
✅ Pre-configuring compliant disclaimers reduces regulatory risks

⚠️ 风险

⚠️ Web3 regulatory policies are constantly changing, and regulatory compliance requirements for token issuance in some countries remain unclear. If whitepaper content is deemed a securities issuance document, it may face compliance risks, requiring explicit disclaimers upon delivery
⚠️ Token parameters provided by clients may involve fraudulent potential; if a project is subsequently identified as a pyramid scheme or scam, the service provider may bear joint and several liability, necessitating preliminary client qualification reviews
⚠️ Whitepaper content generated by large models may contain logical errors or data discrepancies, requiring manual verification of tokenomics model accuracy to prevent client complaints caused by content errors

📌 Real Cases

📌 The Virtuals Protocol official whitepaper disclosed an automated capital formation layer mechanism allowing AI agents to automatically generate token issuance plans, serving as a benchmark case for current whitepaper automated generation services
📌 An independent Web3 developer utilized GTokenTool's templated tools to provide whitepaper and Q&A bot services for early-stage Meme coin project teams, quoting $15,000 per set and delivering a cumulative 7 orders in the second half of 2025, generating an average monthly income of about $10,000
📌 A domestic AI service studio standardized its whitepaper generation process and took orders on Telegram and Twitter, providing full document services for Southeast Asian token issuers at $8,000 per set, handling 3-4 orders per month with a monthly revenue of about $24,000

Sources