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@@ -561,6 +561,7 @@ Run Claude Code with 50+ models, no rate limits, no Anthropic account, no phone
 | [Architecture](docs/architecture.md)                   | Technical deep dive      |
 | [Configuration](docs/configuration.md)                 | Environment variables    |
 | [Troubleshooting](docs/troubleshooting.md)             | Common issues            |
+| [Spending Policies with LetAgentPay](docs/spending-policies-with-letagentpay.md) | Cap agent wallet spend   |
 
 ### Blog
 
diff --git a/docs/spending-policies-with-letagentpay.md b/docs/spending-policies-with-letagentpay.md
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+# Spending Policies with LetAgentPay
+
+ClawRouter answers *how* an agent pays — wallet signature for auth, USDC micropayments via x402, no API keys, no accounts. It does not answer *should this agent pay this amount right now*.
+
+With a funded wallet and a runaway loop, an agent can drain its balance across hundreds of routed LLM calls in seconds. That's where a policy layer in front of the wallet helps.
+
+[LetAgentPay](https://letagentpay.com) is a vendor-neutral spending policy engine — open-source ([repo](https://github.com/letagentpay/letagentpay), MIT, self-host or cloud) that runs 8 deterministic checks on a proposed spend before it leaves the agent.
+
+This guide shows the integration pattern. Disclosure: I work on LetAgentPay. The doc lives in this repo because ClawRouter users have asked about budget caps and this gap is real.
+
+## The pattern
+
+A thin wrapper around your existing ClawRouter usage: ask the policy engine → call ClawRouter → confirm actual cost.
+
+```typescript
+import { LetAgentPay } from "letagentpay";
+import { ClawRouter } from "@blockrun/clawrouter";
+
+const policy = new LetAgentPay({ token: process.env.LETAGENTPAY_TOKEN! });
+const router = new ClawRouter(/* your ClawRouter config */);
+
+async function policedChat(opts: {
+  messages: { role: string; content: string }[];
+  estimatedCostUsd: number;
+  description?: string;
+}) {
+  // 1. Pre-flight: ask the policy engine before the spend
+  const purchase = await policy.requestPurchase({
+    amount: opts.estimatedCostUsd,
+    category: "llm_inference",
+    merchantName: "ClawRouter",
+    description: opts.description ?? "Routed LLM call",
+  });
+
+  if (purchase.status === "rejected") {
+    throw new Error(`Policy denied: ${purchase.policyCheck?.failedCheck}`);
+  }
+  if (purchase.status === "pending") {
+    throw new Error(`Policy escalated to human review: ${purchase.requestId}`);
+  }
+
+  // 2. Auto-approved — proceed with ClawRouter
+  const result = await router.chat({ messages: opts.messages });
+
+  // 3. Confirm actual x402-settled cost
+  await policy.confirmPurchase(purchase.requestId, {
+    success: true,
+    actualAmount: result.costUsd,
+  });
+
+  return result;
+}
+```
+
+## A starter policy
+
+```json
+{
+  "version": "1.0",
+  "daily_limit": 20.00,
+  "per_request_limit": 1.00,
+  "allowed_categories": ["llm_inference"],
+  "schedule": {
+    "timezone": "UTC",
+    "default": { "allow": "00:00-23:59" }
+  }
+}
+```
+
+What this catches:
+
+| Concern | Control |
+| --- | --- |
+| One runaway call draining the wallet | `per_request_limit` |
+| A loop running all night | `daily_limit` + `schedule` |
+| Agent spending outside intended scope | `allowed_categories` |
+| Total wallet protection | `weekly_limit` / `monthly_limit` / account budget |
+
+## Notes
+
+- **Estimate conservatively.** ClawRouter picks the model after the call lands. Estimate worst-case (max model × max tokens), then `confirmPurchase` reports the real x402-settled amount. The held amount releases on confirm.
+- **Failed routes.** If ClawRouter rejects the request, call `confirmPurchase` with `success: false` to release the hold.
+- **Self-host.** LetAgentPay runs as a self-hostable service or as managed cloud. Same SDK either way.
+
+## See also
+
+- [LetAgentPay docs](https://letagentpay.com/docs) — full setup, policy reference, dashboard
+- [ASPS spec](https://letagentpay.com/asps/spec) — open spec for agent spending policies, vendor-neutral