---
name: clawrouter
description: Hosted-gateway LLM router — save 67% on inference costs. A local proxy that forwards each request to the blockrun.ai gateway, which routes to the cheapest capable model across 55+ models from OpenAI, Anthropic, Google, DeepSeek, xAI, NVIDIA, and more. 8 free NVIDIA models included. Also exposes realtime market data (global stocks, crypto, FX, commodities), Twitter/X intelligence, and Polymarket prediction market data as built-in agent tools. Not a local-inference tool — prompts are sent to the blockrun.ai gateway.
homepage: https://blockrun.ai/clawrouter.md
repository: https://github.com/BlockRunAI/ClawRouter
license: MIT
metadata:
  {
    "openclaw":
      {
        "emoji": "🦀",
        "requires": { "config": ["models.providers.blockrun"] },
        "install":
          [
            {
              "id": "node",
              "kind": "node",
              "package": "@blockrun/clawrouter",
              "bins": ["clawrouter"],
              "label": "Install ClawRouter (npm)",
            },
          ],
      },
  }
---

# ClawRouter

Hosted-gateway LLM router that saves 67% on inference costs by forwarding each request to the blockrun.ai gateway, which picks the cheapest model capable of handling it across 55+ models from 9 providers (8 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.

Source: https://github.com/BlockRunAI/ClawRouter · npm: https://www.npmjs.com/package/@blockrun/clawrouter · License: MIT.

## Data Flow

```
Your app → localhost proxy (ClawRouter) → https://blockrun.ai/api  (or sol.blockrun.ai/api)
                                              ↓
                                        OpenAI / Anthropic / Google / etc.
                                              ↓
                                        Response → back through proxy → your app
```

**Sent to blockrun.ai on every request:** the model name, the full prompt/messages body, sampling params (temperature, max_tokens, tools, etc.), and an `X-PAYMENT` header containing a signed x402 USDC micropayment.

**Not sent:** your wallet private key (only the detached payment signature is sent), any other local files, environment variables, or OpenClaw config beyond what's needed for this request.

**Blockrun's privacy stance:** https://blockrun.ai/privacy. Treat prompts the same way you'd treat prompts sent to any hosted LLM API (OpenAI, Anthropic, etc.) — do not send data you would not share with a third-party API provider.

## Credentials & Local Key Storage

ClawRouter does **not** collect or forward third-party provider API keys. You do not supply OpenAI, Anthropic, Google, DeepSeek, xAI, or NVIDIA credentials — the blockrun.ai gateway owns those relationships.

**What `models.providers.blockrun` stores (fully enumerated):**

| Field       | Sensitive | Purpose                                                                                                                                                                                                    |
| ----------- | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `walletKey` | Yes       | EVM private key used to sign USDC micropayments via x402. **Auto-generated locally on first run** — no user input required. Never transmitted over the network; only detached payment signatures are sent. |
| `solanaKey` | Yes       | Solana keypair (BIP-44 `m/44'/501'/0'/0'`). Auto-derived from the same local mnemonic via `@scure/bip32` + `@scure/bip39`.                                                                                 |
| `gateway`   | No        | Gateway URL. Defaults: `https://blockrun.ai/api` (Base) · `https://sol.blockrun.ai/api` (Solana).                                                                                                          |
| `routing`   | No        | Optional override of the default four-tier router.                                                                                                                                                         |

**How and where keys are stored:**

- Keys live in the OpenClaw user config file — typically `~/.config/openclaw/config.json` on Linux, `~/Library/Application Support/openclaw/config.json` on macOS, `%APPDATA%\openclaw\config.json` on Windows — under the `models.providers.blockrun` path.
- Written by OpenClaw's standard config writer with `0600` permissions on POSIX systems (owner read/write only).
- **Stored in plaintext**, the same way every OpenClaw provider's API key is stored. ClawRouter does not add an extra encryption layer; your filesystem permissions are the security boundary. If you require an encrypted keystore, run OpenClaw on an encrypted volume (FileVault, LUKS, BitLocker) or use a dedicated burner wallet funded only with what you intend to spend.
- Auto-generation uses `@scure/bip39` to produce a 24-word mnemonic, then BIP-44 derivation for both chains. Source: [`src/wallet.ts`](https://github.com/BlockRunAI/ClawRouter/blob/main/src/wallet.ts).

**Operational guidance:** treat the wallet as a spending account with a small top-up, not a long-term store of value. Fund it with what you expect to spend on LLM calls. If the host machine is compromised, the wallet key is compromised — rotate and refund.

## Supply-Chain Integrity

- Every release is tagged on GitHub: https://github.com/BlockRunAI/ClawRouter/releases
- Every release publishes to npm with a matching version: https://www.npmjs.com/package/@blockrun/clawrouter?activeTab=versions
- The `skills/release/SKILL.md` mandatory checklist enforces: same version in `package.json`, matching git tag, matching GitHub release, and matching npm publish.
- To verify locally: `npm pack @blockrun/clawrouter@<version>` and compare the tarball contents to the tagged commit.

## Install

```bash
openclaw plugins install @blockrun/clawrouter
```

The structured `install` block above tells OpenClaw to install the auditable npm package `@blockrun/clawrouter`. Source for every version is on GitHub; every release is tagged.

## Setup

```bash
# Enable smart routing (auto-picks cheapest model per request)
openclaw models set blockrun/auto

# Or pin a specific model
openclaw models set openai/gpt-4o
```

## How Routing Works

ClawRouter classifies each request into one of four tiers:

- **SIMPLE** (40% of traffic) — factual lookups, greetings, translations → Gemini Flash ($0.60/M, 99% savings)
- **MEDIUM** (30%) — summaries, explanations, data extraction → DeepSeek Chat ($0.42/M, 99% savings)
- **COMPLEX** (20%) — code generation, multi-step analysis → Claude Opus ($75/M, best quality)
- **REASONING** (10%) — proofs, formal logic, multi-step math → o3 ($8/M, 89% savings)

Rules handle ~80% of requests in <1ms. Only ambiguous queries hit the LLM classifier (~$0.00003 per classification).

## Available Models

55+ models including: gpt-5.5, gpt-5.4, gpt-4o, o3, claude-opus-4.7, claude-opus-4.6, claude-opus-4.5, claude-sonnet-4.6, gemini-3.1-pro, gemini-2.5-flash, deepseek-chat, grok-3, kimi-k2.6, kimi-k2.5, and 8 free NVIDIA models (gpt-oss-120b, gpt-oss-20b, deepseek-v3.2, qwen3-coder-480b, glm-4.7, llama-4-maverick, qwen3-next-80b-a3b-thinking, mistral-small-4-119b).

## Built-in Agent Tools

In addition to LLM routing, ClawRouter exposes BlockRun's x402-gated data APIs as ready-to-use OpenClaw tools. Every tool is paid from the same USDC wallet — no extra setup, no extra API keys.

### Market Data

Realtime prices and historical OHLC across every asset class. The agent should call these directly instead of scraping finance sites.

| Tool                       | Coverage                                                                        | Price         |
| -------------------------- | ------------------------------------------------------------------------------- | ------------- |
| `blockrun_stock_price`     | 12 global markets: US (NYSE/Nasdaq), HK, JP, KR, UK, DE, FR, NL, IE, LU, CN, CA | $0.001 / call |
| `blockrun_stock_history`   | OHLC bars at 1/5/15/60/240-min or D/W/M resolution                              | $0.001 / call |
| `blockrun_stock_list`      | Ticker lookup / company-name search per market                                  | Free          |
| `blockrun_crypto_price`    | BTC-USD, ETH-USD, SOL-USD, and more                                             | Free          |
| `blockrun_fx_price`        | EUR-USD, GBP-USD, JPY-USD, and more                                             | Free          |
| `blockrun_commodity_price` | XAU-USD (gold), XAG-USD (silver), XPT-USD (platinum)                            | Free          |

### Image & Video Generation

| Tool                        | Purpose                                                                     | Price                |
| --------------------------- | --------------------------------------------------------------------------- | -------------------- |
| `blockrun_image_generation` | 8 image models — DALL-E 3, Nano Banana / Pro, Flux, Grok Imagine, CogView-4 | $0.015–$0.15 / image |
| `blockrun_image_edit`       | Edit / inpaint existing image (openai/gpt-image-1)                          | $0.02–$0.04 / image  |
| `blockrun_video_generation` | Grok Imagine + ByteDance Seedance (1.5-pro / 2.0-fast / 2.0), 5–10s         | $0.03–$0.30 / second |

### Polymarket (Predexon)

Full prediction-market toolbox: live events, leaderboard, market search, smart money positioning, wallet analytics, and cross-market arbitrage matching (Polymarket ↔ Kalshi). 8 tools, `$0.001–$0.005` per call. See `blockrun_predexon_*` in the tool list.

## Example Output

```
[ClawRouter] google/gemini-2.5-flash (SIMPLE, rules, confidence=0.92)
             Cost: $0.0025 | Baseline: $0.308 | Saved: 99.2%
```
