diff --git a/README.md b/README.md index 4b40f62d..989fb8fd 100644 --- a/README.md +++ b/README.md @@ -34,7 +34,7 @@ Agents can only sign transactions.

-> **ClawRouter** is an open-source smart LLM router that reduces AI API costs by up to 87%. It analyzes each request across 15 dimensions and routes to the cheapest capable model in under 1ms, entirely locally. ClawRouter is the only LLM router built for autonomous AI agents — it uses wallet signatures for authentication (no API keys) and USDC micropayments via the x402 protocol (no credit cards). 71 models from OpenAI, Anthropic, Google, xAI, DeepSeek, and more. MIT licensed. +> **ClawRouter** is an open-source smart LLM router that reduces AI API costs by up to 88%. It analyzes each request across 15 dimensions and routes to the cheapest capable model in under 1ms, entirely locally. ClawRouter is the only LLM router built for autonomous AI agents — it uses wallet signatures for authentication (no API keys) and USDC micropayments via the x402 protocol (no credit cards). 71 models from OpenAI, Anthropic, Google, xAI, DeepSeek, and more. MIT licensed. --- @@ -193,7 +193,7 @@ Choose your routing strategy with `/model `: | `/model free` | Free NVIDIA models | **100%** | $0 balance, learning | | `/model auto` | Balanced (default) | † Withheld from `/v1/models` — the router still calls it by direct ID, but you will not find it on the public pricing page. See [savings-mix.json](https://github.com/BlockRunAI/blockrun/blob/main/src/brand/savings-mix.json), which prices the published savings claim on visible models only. | -**87%** | General use | +**88%** | General use | | `/model eco` | Cheapest possible | **98%** | Maximum savings | | `/model premium` | Best quality | 0% | Mission-critical | @@ -216,7 +216,7 @@ Request → Weighted Scorer (1487% cheaper than pinning Claude Opus 5** for the same traffic, on `auto`; **98%** on `eco`. +**88% cheaper than pinning Claude Opus 5** for the same traffic, on `auto`; **98%** on `eco`. Not an "up to" figure. The baseline, the workload mix and the token ratio are published in [`savings-mix.json`](https://github.com/BlockRunAI/blockrun/blob/main/src/brand/savings-mix.json), @@ -716,7 +716,7 @@ ClawRouter is an open-source (MIT licensed) smart LLM router built for autonomou ### How much can ClawRouter save on LLM costs? -On the `auto` profile ClawRouter costs 87% less than pinning Claude Opus 5 for every request, and 98% less on `eco`. That is computed from a published workload mix rather than estimated — see [savings-mix.json](https://github.com/BlockRunAI/blockrun/blob/main/src/brand/savings-mix.json) for the baseline and assumptions. Actual savings depend on your workload — simple queries are routed to free models ($0/request), while complex tasks get premium models. +On the `auto` profile ClawRouter costs 88% less than pinning Claude Opus 5 for every request, and 98% less on `eco`. That is computed from a published workload mix rather than estimated — see [savings-mix.json](https://github.com/BlockRunAI/blockrun/blob/main/src/brand/savings-mix.json) for the baseline and assumptions. Actual savings depend on your workload — simple queries are routed to free models ($0/request), while complex tasks get premium models. ### How does ClawRouter compare to OpenRouter? diff --git a/brand-numbers.json b/brand-numbers.json index 70a5380d..4395f237 100644 --- a/brand-numbers.json +++ b/brand-numbers.json @@ -3,11 +3,11 @@ "version": 1, "models": { "chatVisible": 71, - "totalVisible": 92, + "totalVisible": 93, "free": 6, "freeWithheld": 19, "image": 9, - "video": 5, + "video": 6, "music": 1, "speech": 5, "soundfx": 1, @@ -29,6 +29,6 @@ "savings": { "baselineModel": "anthropic/claude-opus-5", "ecoVsBaselinePct": 98, - "autoVsBaselinePct": 87 + "autoVsBaselinePct": 88 } } diff --git a/docs/anthropic-third-party-harness-changes.md b/docs/anthropic-third-party-harness-changes.md index cc060440..4f60f33e 100644 --- a/docs/anthropic-third-party-harness-changes.md +++ b/docs/anthropic-third-party-harness-changes.md @@ -56,7 +56,7 @@ From 20,000+ production requests: | Free models (trivial tasks) | 12.8% | $0.00 | | Others | 13.8% | varies | -**Result: 87% cheaper than pinning Claude Opus 5 for every request** — the published figure, priced on a stated workload mix rather than estimated. +**Result: 88% cheaper than pinning Claude Opus 5 for every request** — the published figure, priced on a stated workload mix rather than estimated. A typical user running 10K mixed requests/month: diff --git a/docs/clawrouter-vs-openrouter-llm-routing-comparison.md b/docs/clawrouter-vs-openrouter-llm-routing-comparison.md index 1991f2c7..c1ac857d 100644 --- a/docs/clawrouter-vs-openrouter-llm-routing-comparison.md +++ b/docs/clawrouter-vs-openrouter-llm-routing-comparison.md @@ -271,7 +271,7 @@ No silent drops. No stale catalog. Models are benchmarked for speed, quality, an | **Model catalog** | Laggy, silent drops | Curated 71 models, redirect aliases | | **Budget control** | Monthly invoice | Per-session cap (`maxCostPerRun`) | | **Setup** | Create account, paste key | Agent generates wallet, auto-configured | -| **Average cost** | $25/M tokens (Opus direct) | auto-routed = **87% savings** | +| **Average cost** | $25/M tokens (Opus direct) | auto-routed = **88% savings** | ![The Engineering Matrix — Side-by-side feature comparison: OpenRouter vs ClawRouter across Routing, Authentication, Payment, Fallback, Model IDs, Empty Wallet, Vision/Tools, and Average Cost. ClawRouter wins on every dimension.](./assets/clawrouter-engineering-matrix-comparison.png) diff --git a/skills/clawrouter/SKILL.md b/skills/clawrouter/SKILL.md index cc20c238..e2d99c21 100644 --- a/skills/clawrouter/SKILL.md +++ b/skills/clawrouter/SKILL.md @@ -53,7 +53,7 @@ metadata: # ClawRouter -Hosted-gateway LLM router that saves 87% on inference costs by forwarding each request to the blockrun.ai gateway, which picks the cheapest model capable of handling it across 71 models from 9 providers (6 free NVIDIA models). All billing flows through one USDC wallet; you do not hold provider API keys. +Hosted-gateway LLM router that saves 88% on inference costs by forwarding each request to the blockrun.ai gateway, which picks the cheapest model capable of handling it across 71 models from 9 providers (6 free NVIDIA models). All billing flows through one USDC wallet; you do not hold provider API keys. **This is not a local-inference tool.** ClawRouter is a thin local proxy. Your prompts are sent over HTTPS to the blockrun.ai gateway for model execution. If your workload requires inference that never leaves your machine, use a local runtime like Ollama — ClawRouter is not the right tool for that use case.