Tbros6868

Hey everyone, the @PythNetwork Terminal just went public. You can check it out right now at . No login, no API key, nothing. Just open it and you get to browse more than 3,000 live price feeds across crypto, stocks, FX, and commodities. The charts update in real time, tick by tick. You can compare Pyth prices directly with external benchmarks, and even turn individual publishers on and off to see exactly how each feed is built. It's pretty cool. This is basically the front door to everything Pyth offers. I've always found traditional market data annoying. You usually have to jump through hoops, schedule a sales call, and still not see the actual product until you're deep into negotiations. Pyth does the opposite. You get to play with the data first, judge the quality yourself, and only pay if it makes sense for you. The pricing is straightforward too. The free tier already gives you full charts and live feeds. If you want more, paid plans start at $500 a month for crypto and go up to $10K for the complete library. Every paid plan comes with a 14-day free trial, so there's zero pressure. What I like most is the transparency. You can see exactly who is publishing what and how the final price is formed. That's rare in this space. It first showed up as the verification layer for Polymarket traders. Now it's standing on its own as the main entry point for Pyth, serving over 700 blockchain apps that already rely on these feeds. Honestly, when you compare it to Bloomberg charging hundreds of thousands a year for a terminal, Pyth feels refreshing. Here you get thousands of high-quality feeds for free, and you only upgrade when you're ready. The front door is wide open. Go take a look: Browse around, click on some feeds, compare the numbers. If you like what you see, share it with others. Every visit and sign-up helps bring better data to more people. Let me know what you think after you try it.

Building scripts is easy, maintaining them is the real work. Most marketplaces die when maintainers have no upside or tooling to keep automations healthy The part most teams miss → UI shifts, API limits, captchas, selector drift → Without version control, health checks, and recurring incentives, automations decay What I am seeing from @ActionModelAI → Marketplace that centers maintainers, not just installs → Versioned workflows with change previews and staged rollout → Uptime stats, auto reruns with backoff, and replayable run receipts → Fork and credit lineage with onchain splits so original authors earn $LAM when derivatives win → Ranking that factors difficulty, reliability, and user satisfaction, not just downloads Why this matters → Owners of brittle one offs become owners of compounding assets What I want next → Creator staking for quality, slashing for abandonware → Sandboxed dry runs and public healthboards → API deprecation alerts that auto open fix PRs If you have a folder of half broken zaps, this might be your comeback tour #ActionModelAI #ActionFi #LAM #AgentOps #Creators #Automation

Good afternoon & happy Sunday Some are out, some are grinding. How are you holding up this weekend I spent the morning turning a messy chore into a clean workflow in my LAM: scan inbox for receipts, export recent charges, match merchants, flag duplicate subs, draft cancel emails, and queue refund requests. One button, then a final review. The part that caught my eye was seeing $LAM usage tied to actual runs. Each real execution consumes fuel & a portion gets burned, so consistent usage doesn’t just deliver outcomes, it tightens supply over time. That mix of do the work plus aligned incentives is why I keep coming back to @ActionModelAI If you are tinkering today, aim for workflows that finish. Chain apps with clear success checks, fail gracefully, and leave receipts you can skim in a minute. That skill feels like the new leverage this cycle. And when completions are verified end to end, rewards feel earned, not gamed What weekend workflow are you shipping next #LAM #ActionModelAI #Automation