

Frames
829 posts

@framesag
Lab behind FRAMES-F1: an AI model optimized for fetching the right data from the right providers









We built an AI model for data payments. If you're in SF this Thursday join us for the first live preview of FRAMES-F1 at the @colosseum office. luma.com/ybb5siwi Limited spots available 👇






Highlight x402 on Solana in the Last 30 Days 🌟 Which x402 are you watching? @JatevoId — 2380.90% @xona_agent — 493.50% @PayAINetwork — 217.10% @x402jobs— 152.20% @syra_agent — 144.10% @dexteraisol — 136.10% @acedatacloud — 95.80% @relayaisolana — 88.00% @Codecopenflow — 74.70% @WURKDOTFUN — 60.90% @daydreamsagents — 57.10% @zauthinc — 54.10% @homebrewrobots — 50.60% @zaara_ai — 21.40% @CoralOS_ai — 14.40%

Agent payments are growing but the infrastructure is still fragmented. +70% of merchants are still limited to only one network: mostly @solana, @base and @tempo. @PayAINetwork fixes this by connecting x402/MPP to all major networks. We partnered with them to maintain a live dataset of every merchant and which networks they support. For PayAI, every single-network merchant is an acquisition opportunity. For everyone else, it’s a clean view of the agent payments landscape. Explore the dataset: merchants-watch.data.frames.ag


