What is ClawRouter? The short answer is just below — and if you’re running OpenClaw and haemorrhaging money on API bills, this is the piece of the stack you’ve probably been missing. I’ve dug through both projects that share the name so you don’t have to.
Short answer — what is ClawRouter in 30 seconds:
- ClawRouter (by BlockRun) is an open-source, MIT-licensed LLM router built for autonomous agents: it analyses each request across 15 dimensions and routes it to the cheapest capable model in under 1ms, entirely locally.
- It covers 76 chat models across 9 providers (OpenAI, Anthropic, Google, xAI, DeepSeek, Zhipu, Tencent, Moonshot, MiniMax), plus image, video, music and voice models.
- It runs as a local proxy on port 8402, pays per-request with USDC via the x402 protocol (Solana or Base) or a normal API key — and 7 open-weight models are free with no signup.
- Confusingly, there’s also openclaw/clawrouter: an official provider-neutral API gateway for credentials, budgets and metered usage. Different tool, same name — I untangle both below.
What is ClawRouter and why does it exist?
BlockRun’s README calls ClawRouter “the LLM router built for autonomous agents”, and that framing is the whole point. An agent doesn’t care which brand of model answers a trivial formatting request — it cares that the request succeeds at the lowest cost. ClawRouter sits between your agent and every provider, looks at each request across 15 dimensions, and sends it to the cheapest model that can actually handle it. The decision happens locally in under a millisecond, with zero external calls for the routing itself, via its constraint-first Router Core V3.5 engine.
That matters for OpenClaw users specifically because agent harnesses are token furnaces. If you’ve read my OpenClaw SEO tool guide, you know I run agents around the clock — and around-the-clock agents on a pinned frontier model is how people end up with four-figure API bills. Routing is the fix, the same way DeepSeek’s off-peak pricing is a fix: stop paying premium rates for non-premium work.
How ClawRouter works under the hood
The pieces, straight from the BlockRun documentation:
- Local proxy on port 8402. Your tools point at ClawRouter instead of a provider endpoint; it forwards each request to whichever model it selects.
- 76 chat models, 9 providers. OpenAI, Anthropic, Google, xAI, DeepSeek, Zhipu, Tencent, Moonshot and MiniMax — plus 9 image models, 8 video models, music generation, 5 voices and img2img editing.
- Two ways to pay, one way to not pay. Option one: wallet-signature auth with USDC micropayments over the x402 protocol, on Solana by default or Base. Option two: a credit-card-funded API key from user.blockrun.ai. Option three: seven free open-weight models — nemotron-3.5-lightning with six fallbacks — that need no wallet, key or signup at all.
- Agent-friendly extras. Agentic auto-detect, tool detection, context-aware filtering, model aliases, session persistence and free-tier fallback.
Installation is a one-liner for OpenClaw — curl -fsSL https://blockrun.ai/ClawRouter-update | bash — or npx @blockrun/clawrouter standalone. If you’re setting up the harness from scratch first, my OpenClaw on Linux install guide covers the groundwork.
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On savings, BlockRun publishes its own numbers, so treat these as vendor claims:
⚠️ Vendor self-reported figures: BlockRun’s README claims the auto profile runs “84% below pinning Claude Opus 5” and the eco profile saves “98%”, based on its own published workload mix (savings-mix.json). These are the vendor’s numbers, not independent benchmarks — your savings depend entirely on your workload.
What is ClawRouter vs the official OpenClaw gateway?
Here’s where people get confused: two projects share the name. Alongside BlockRun’s router, the OpenClaw organisation maintains openclaw/clawrouter on GitHub — “a provider-neutral API gateway for OpenClaw deployments” that “routes policy-scoped credentials across model and tool providers while enforcing access, revocation, budgets, request retention, and metered usage”. It issues clawrouter-prefixed credentials, needs Node.js 24+ and pnpm (or Docker/Cloudflare for hosting), and is about governance, not price-hunting.
| ClawRouter (BlockRun) | openclaw/clawrouter (official gateway) | |
|---|---|---|
| Job | Route each request to the cheapest capable model | Gateway for policy-scoped credentials across providers |
| Focus | Cost savings, <1ms local routing, x402 payments | Access control, revocation, budgets, metered usage |
| Runs as | Local proxy on port 8402 | Self-hosted (Docker) or Cloudflare deployment |
| Payment | USDC via x402, API key, or 7 free models | Uses your own provider credentials |
| Best for | Solo builders and agent runners cutting API spend | Teams governing shared OpenClaw deployments |
If your problem is “my agent bill is too high”, you want BlockRun’s router. If your problem is “my team’s credentials are chaos”, you want the gateway. They’re not competitors any more than a satnav competes with a car key. For the wider routing landscape, I’ve also broken down OpenRouter with Hermes Agent — a hosted alternative philosophy to ClawRouter’s local-first approach.
Should you actually use it for SEO work?
My honest take: if you’re running OpenClaw agents for content production, internal linking, or the kind of always-on workflows I covered in the OpenClaw 2026.9.1 update breakdown — where ClawRouter support was part of the provider work that release expanded — then routing is close to free money. Bulk agent tasks are mostly not frontier-model tasks. Send the easy 80% to cheap or free models automatically and reserve the expensive calls for the work that earns them. The free tier alone makes it worth testing: point one non-critical agent at port 8402, watch a week of routing decisions, then decide. That’s exactly the kind of experiment we template inside the AI Profit Boardroom, and if you want a second pair of eyes on your stack economics, book a free SEO strategy session — it costs you nothing.
What is ClawRouter? The bottom line
ClawRouter is the missing cost layer for agent-heavy stacks: an MIT-licensed local router that picks the cheapest capable model out of 76 across 9 providers in under a millisecond, pays per request with USDC or a plain API key, and falls back to seven genuinely free models. Its namesake, the official openclaw/clawrouter gateway, solves governance instead of cost. Everything in this guide comes from both projects’ own GitHub documentation, fetched today — and as both are moving fast, I’ll keep this page updated as they change.
FAQ: what is clawrouter
Is ClawRouter free to use?
The software itself is MIT-licensed and open source, and BlockRun’s README lists seven free open-weight models — nemotron-3.5-lightning with six fallbacks — that need no wallet, key or signup. Paid models are billed through USDC micropayments or a credit-card-funded API key.
How many models does ClawRouter support?
BlockRun’s README lists 76 chat models across 9 providers — OpenAI, Anthropic, Google, xAI, DeepSeek, Zhipu, Tencent, Moonshot and MiniMax — plus 9 image models, 8 video models, music generation and 5 voices.
How does ClawRouter decide which model to use?
Its Router Core V3.5 engine analyses each request across 15 dimensions and routes to the cheapest capable model in under 1 millisecond, entirely locally — zero external calls are made for the routing decision itself.
Do I need a crypto wallet to use ClawRouter?
No. Wallet signatures with USDC micropayments via the x402 protocol (Solana by default, or Base) are one option, but you can also use a credit-card-funded API key from user.blockrun.ai, or stick to the free open-weight models.
How do I install ClawRouter with OpenClaw?
BlockRun’s README gives a one-line install for OpenClaw — curl -fsSL https://blockrun.ai/ClawRouter-update | bash — or you can run it standalone with npx @blockrun/clawrouter. It runs as a local proxy on port 8402.
Why are there two projects called ClawRouter?
BlockRun’s ClawRouter is the agent-native LLM router covered here. There’s also openclaw/clawrouter on GitHub, an official provider-neutral API gateway that routes policy-scoped credentials and enforces budgets, access and metered usage for OpenClaw deployments. Same name, different jobs.
Related reading
- OpenClaw 2026.9.1: Every New Fix Explained
- Install OpenClaw on Linux: Full 2026 Guide
- Hermes Agent OpenRouter: One Key, Every Model
Want your AI costs routed and your SEO on autopilot? Join 3,700+ members in the AI Profit Boardroom — four live calls a week, daily tutorials, done-for-you templates and a 30-day roadmap — or book a free SEO strategy session and I’ll walk through your agent stack with you personally.
About the author
I’m Julian Goldie — SEO agency owner, 394K+ YouTube subscribers, 100% Upwork job-success score, 75K+ community members across my groups, 10+ years in SEO, and author of a best-selling SEO book. I run OpenClaw and multi-model routing across my own SEO agency’s content pipelines, which is exactly where guides like this one come from.
Watch my daily AI videos on YouTube, learn AI SEO with 3,700+ members inside the AI Profit Boardroom, or book a free SEO strategy session and I’ll map it out with you one-on-one.
Last updated September 2026. This is the living guide to what is clawrouter — it gets updated as the tools change.
