

SpendlyAI
19 posts

@SpendlyAI
AI Agent Decision Layer for Spending on x402 Solana









$SPENDLY already live on @Pumpfun ,now back to building. Today’s work: implementing a Markdown rendering layer for agent outputs. Raw LLM text isn’t enough for Spendly , decisions need to be formatted, structured, and readable (lists, headings, links, etc.) for users to evaluate options. I’ve said this before but I’ll repeat it: I’m treating this as a real product, not a speculative drop. The goal is to finish what I started. Tomorrow I’ll push updates for the V1 Spendly AI surface with full x402 integration. Still early, still shipping.









Integrating x402 on the client side. The idea is simple: each agent interaction is a paid action, so instead of calling the AI endpoint with a plain fetch, the app now uses an x402 client + wallet adapter. This makes the payment primitive native to the interaction layer. There’s no credits system, no batching, no weird accounting. Just: Ask → Pay → Receive. This alignment is what enables Spendly to operate as a proper decision service, not a free inference toy. #x402 #AIAgent #SOLANA


We’re kicking off a small community contest for early supporters of #SPENDLYAI 🪩 How to join: • Tweet anything related to Spendly AI • Stay active (like + RT) on the official account posts • Add #SPENDLYAI to your username We’ll pick 2 lucky winners 🏆 Each gets $100 Good luck & welcome to the early crew 🤝 #CryptoGiveaway





