The AI Bandwidth Economy:
How AI Agents Buy Clean IPs From Device Fleets.

Cloudflare blocks ~30% of all internet traffic in real time. DataDome, PerimeterX, Akamai, AWS WAF, Kasada, Imperva — every major anti-bot system shares one shortcut: they block datacenter IPs by default. AWS, GCP, Azure, Hetzner, OVH — entire ASN ranges flagged. Residential IPs work better but still get blocked when ISPs sell their DHCP pools. Mobile IPs are the last category that scales: carriers route thousands of real subscribers behind a single CGNAT IP, so blocking a mobile IP means blocking real paying customers. No anti-bot vendor is willing to take that risk.

That makes mobile IPs structurally scarce. There are only so many real phones in the world, and only some of them are willing to route external traffic. Every AI agent that wants to scrape Google SERPs, monitor Amazon prices, watch Reddit sentiment, or train on the public web is bidding for the same finite pool of clean IPs.

We ship four protocols that compose into the bandwidth economy. Each is independently usable; together they form the loop.

The peer network is a true two-sided marketplace. The same WebSocket relay, the same x402 payment rail, the same USDC settlement — but participants come from very different worlds. Here's how each side plugs in.

We split revenue 56% / 44% — peer takes the majority. Rates are unified across sources: a real mobile carrier IP earns the mobile tier whether it joined the network as an AI agent, an Android phone, or a ProxySmart farmer modem. Server-side ASN classification keeps the system honest — device-reported types are ignored.

$5 minimum payout · USDC on Solana · 24–48h processing · 7-day wallet cooling after change. Server-side ASN classification — cannot be spoofed.

Most bandwidth-sharing networks pay the same rate to everyone. We don't — because the IPs aren't worth the same. A real T-Mobile 5G IP routes a request that nobody can block. A Hetzner datacenter IP routes a request that gets blocked at the edge. Paying both equally would burn customer money on traffic that fails.

Instead, every connecting device gets classified server-side via ASN lookup against a curated registry of 200+ mobile carrier ASNs, 100+ datacenter providers, and known VPN ranges. Device-reported metadata is ignored. You can't spoof your way into the mobile tier — the network sees what your IP actually is. That keeps the marketplace honest, customer success rates high, and scarcity verifiable.

All public-web work. No login walls, no private data, no identity scraping. Standard data intelligence — the same kind of work companies have done for 20+ years, now run autonomously by AI agents and paid for in real-time on-chain.

We document four ways to join — Android SDK, Docker, Node.js, raw curl + WebSocket. But the only thing we actually require is: deliver an HTTP proxy endpoint from a real IP. How you get there is up to you.

Run a Raspberry Pi mesh on a residential network. Build a custom firmware for a router. Write a SOCKS5-to-HTTP bridge in Rust. Run a fleet of IoT devices behind a single relay client. Build something nobody has thought of. As long as the IP is real (server-classified), traffic flows through your device, and you connect via the relay protocol — we route to you, we track usage, we pay you.

Input:  A device with a real mobile or residential IP.
Output: An HTTP proxy endpoint that routes traffic through it.
Result: We pay you per GB routed, in USDC, on Solana.

That's the entire requirement.

We're early to a real shift. The first generation of AI agents was just chatbots — text in, text out, no external state. The second generation is doing real work: filling forms, calling APIs, running scrapers, executing transactions. Every single one of those operations needs to actually reach the public internet, which means it needs an IP that won't get blocked.

Today the supply side of clean IPs is captured by a handful of proxy companies running their own infrastructure with billing departments and AML compliance. Tomorrow it's a marketplace where any device with a real IP can list, any agent with a wallet can pay, and the protocol settles directly on-chain. The aggregate result: the cost of real-world data collection drops, the supply of clean IPs grows, and the AI agents doing useful work for humans get cheaper to operate.

The ultimate version: autonomous agent-to-agent commerce. An agent that earns USDC from its data work pays another agent for its bandwidth. That agent in turn pays for its compute, its hosting, its tools. No human in the loop. No credit cards, no API keys, no monthly procurement reviews. Just protocols all the way down. This is what the four-layer stack (x402 + MCP + Peer Relay + Gateway) is designed for.

We've written extensively on the components of this thesis. Six places to go next:

The economy is live. Both sides are open. Pick your seat at the table.