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Merged
VickyXAI merged 1 commit into from
Aug 8, 2026
Merged

chore(brand): refresh the snapshot — the markers were rendering a stale catalog #17

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -34,7 +34,7 @@ Agents can only sign transactions.<br><br>

</div>

> **ClawRouter** is an open-source smart LLM router that reduces AI API costs by <!-- br:savings.autoVsBaselinePct -->87<!-- /br:savings.autoVsBaselinePct -->%. 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). <!-- br:models.chatVisible -->71<!-- /br:models.chatVisible --> 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 <!-- br:savings.autoVsBaselinePct -->88<!-- /br:savings.autoVsBaselinePct -->%. 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). <!-- br:models.chatVisible -->71<!-- /br:models.chatVisible --> models from OpenAI, Anthropic, Google, xAI, DeepSeek, and more. MIT licensed.

---

Expand Down Expand Up @@ -223,7 +223,7 @@ Request → Weighted Scorer (15 dimensions) → Tier → Best Model → Response
| COMPLEX | gemini-3.1-flash-lite ($0.25/$1.50) | gemini-3.1-pro ($2/$12) | claude-opus-4.6 ($5/$25) |
| REASONING | grok-4-1-fast ($0.20/$0.50) | grok-4-1-fast-reasoning ($0.20/$0.50) | claude-sonnet-4.6 ($3/$15) |

**Blended average: $2.05/M** vs $25/M for Claude Opus = **<!-- br:savings.autoVsBaselinePct -->87<!-- /br:savings.autoVsBaselinePct -->% savings**
**Blended average: $2.05/M** vs $25/M for Claude Opus = **<!-- br:savings.autoVsBaselinePct -->88<!-- /br:savings.autoVsBaselinePct -->% savings**

---

Expand Down Expand Up @@ -606,7 +606,7 @@ ClawRouter is an open-source (MIT licensed) smart LLM router built for autonomou

### How much can ClawRouter save on LLM costs?

ClawRouter's blended average cost is $2.05 per million tokens compared to $25/M for Claude Opus, representing <!-- br:savings.autoVsBaselinePct -->87<!-- /br:savings.autoVsBaselinePct -->% savings. Actual savings depend on your workload — simple queries are routed to free models ($0/request), while complex tasks get premium models.
ClawRouter's blended average cost is $2.05 per million tokens compared to $25/M for Claude Opus, representing <!-- br:savings.autoVsBaselinePct -->88<!-- /br:savings.autoVsBaselinePct -->% savings. 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?

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6 changes: 3 additions & 3 deletions brand-numbers.json
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Expand Up @@ -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,
Expand All @@ -29,6 +29,6 @@
"savings": {
"baselineModel": "anthropic/claude-opus-5",
"ecoVsBaselinePct": 98,
"autoVsBaselinePct": 87
"autoVsBaselinePct": 88
}
}
2 changes: 1 addition & 1 deletion docs/anthropic-third-party-harness-changes.md
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Expand Up @@ -56,7 +56,7 @@ From 20,000+ production requests:
| Free models (trivial tasks) | 12.8% | $0.00 |
| Others | 13.8% | varies |

**Result: <!-- br:savings.autoVsBaselinePct -->87<!-- /br:savings.autoVsBaselinePct -->% cheaper than pinning Claude Opus 5 for every request** — the published figure, priced on a stated workload mix rather than estimated.
**Result: <!-- br:savings.autoVsBaselinePct -->88<!-- /br:savings.autoVsBaselinePct -->% 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:

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2 changes: 1 addition & 1 deletion docs/clawrouter-vs-openrouter-llm-routing-comparison.md
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Expand Up @@ -271,7 +271,7 @@ No silent drops. No stale catalog. Models are benchmarked for speed, quality, an
| **Model catalog** | Laggy, silent drops | Curated <!-- br:models.chatVisible -->71<!-- /br:models.chatVisible --> 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 = **<!-- br:savings.autoVsBaselinePct -->87<!-- /br:savings.autoVsBaselinePct -->% savings** |
| **Average cost** | $25/M tokens (Opus direct) | auto-routed = **<!-- br:savings.autoVsBaselinePct -->88<!-- /br:savings.autoVsBaselinePct -->% savings** |

![The Engineering Matrix — Side-by-side feature comparison: OpenRouter vs XClawRouter across Routing, Authentication, Payment, Fallback, Model IDs, Empty Wallet, Vision/Tools, and Average Cost. XClawRouter wins on every dimension.](./assets/clawrouter-engineering-matrix-comparison.png)

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2 changes: 1 addition & 1 deletion skills/xclawrouter/SKILL.md
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Expand Up @@ -19,7 +19,7 @@ metadata: { "openclaw": { "emoji": "🦀", "requires": { "config": ["models.prov

# XClawRouter

Smart LLM router that saves <!-- br:savings.autoVsBaselinePct -->87<!-- /br:savings.autoVsBaselinePct -->% on inference costs by routing each request to the cheapest model that can handle it. <!-- br:models.chatVisible -->71<!-- /br:models.chatVisible --> models across 9 providers (11 free NVIDIA models), all through one wallet.
Smart LLM router that saves <!-- br:savings.autoVsBaselinePct -->88<!-- /br:savings.autoVsBaselinePct -->% on inference costs by routing each request to the cheapest model that can handle it. <!-- br:models.chatVisible -->71<!-- /br:models.chatVisible --> models across 9 providers (11 free NVIDIA models), all through one wallet.

## Install

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