Argentic – An L402 Lightning toll booth for AI scraping agents
What it does
The internet's first machine-native toll booth . AI agents pay in Bitcoin Lightning to access the open web. No accounts. No API keys. No friction. Just sats and passage — at the speed of light. # Agent requests access response = requests.get( "https://argentic.network/?url=https://target-site.com" ) # Returns 402 with invoice data = response.json() invoice = data[ "invoice" ] # lnbc... pay this payment_hash = data[ "payment_hash" ] # poll with this Step 2 — Pay invoice via your Lightning node # Pay the invoice with any Lightning wallet or node pay_response = requests.post( "http://your-lightning-node/pay" , data={ "invoice" : invoice} ) # Payment settles in <40ms Step 3 — Poll for token…from argentic.network
Does a similar job
all alternatives →- AAAn Agentic AI assistant with 200 app connectorsSep 2025 · incredible.one · ▲5
- TEThe Extensible, Multi-Agent Personal AI SidekickFeb 2026 · github.com · ▲5
- ASA security scanner for AI Agent SkillsApr 2026 · github.com · ▲5
- OSOpen-Source outcome- / usage-based billing engine for AI Agents2025 · github.com · ▲6
- LCLocal Coding Agent with LLMs to Delegate Tool Calls to Small AI ModelsMay 2026 · github.com · ▲9
- ACA CLI to scrape, search, and interact with the web for AI agentsMar 2026 · docs.firecrawl.dev · ▲5
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 28d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 11d ago · louisabraham.github.io



Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com