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[Feature Request] Add spending limits and policy controls for agent payments #31

Description

@mkmkkkkk

Problem

MCPay handles the payment lifecycle elegantly — 402 negotiation, on-chain settlement, transparent retries. But once an agent has wallet access, there's no enforcement layer between "agent wants to pay" and "payment goes on-chain."

Today, maxPaymentValue in withX402Client is the only guardrail, and it's a static per-transaction cap set at init time. There's no way to enforce:

  • Cumulative budgets — hourly/daily/monthly spend limits
  • Rate limiting — max N transactions per time window
  • Recipient allowlists/blocklists — restrict which addresses an agent can pay
  • Per-tool policies — different limits for different tool calls (e.g. a $0.001 weather lookup vs. a $5 data export)
  • Human-in-the-loop approval — flag transactions above a threshold for manual review

As agents gain more financial autonomy, the gap between "can pay" and "should pay" becomes a real risk surface.

Proposal

Add a policy engine that evaluates every payment against configurable rules before it hits the chain. Conceptually, this sits between the x402 negotiation and the actual signing step.

Possible interface

constpaymentClient=withX402Client(client,{wallet: {evm: evmSigner},policy: {maxPerTransaction: 0.10,// USDCmaxPerHour: 1.00,maxPerDay: 10.00,allowedRecipients: ["0x..."],// optional allowlistrequireApproval: {above: 5.00,// flag for human reviewcallback: async(tx)=>{/* webhook / UI prompt */}}}})

Where it fits in the flow

In the existing sequence diagram, the policy check would happen at steps (5a)/(6b) — after the 402 metadata is received but before signing/broadcasting the transaction:

402 received → policy.evaluate(amount, recipient, tool, context) → allow/deny/escalate → sign → broadcast

This keeps it non-breaking — the policy engine is opt-in and the default behavior (no policy = allow all) stays the same.

Existing work

PaySentry is an open-source SDK that implements this pattern for x402 payments — per-transaction limits, rolling budgets, recipient controls, and observability hooks. Its @paysentry/control package specifically handles the policy evaluation step.

Could be worth looking at as a reference implementation or potential integration path. The core idea (evaluate-before-sign) is what matters, regardless of which library implements it.

Why this matters for MCPay

MCPay is positioned as the payment infra for MCP. Adding governance/controls would:

  1. Unlock enterprise adoption — no finance team will approve agent wallets without spending controls
  2. Differentiate from raw x402 — x402 handles the protocol, MCPay + policy handles the trust layer
  3. Reduce liability — if an agent misbehaves, the policy engine is the circuit breaker

Happy to discuss implementation approaches or contribute if there's interest.

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      [Feature Request] Add spending limits and policy controls for agent payments · Issue #31 · microchipgnu/MCPay · GitHub
      Skip to content

      [Feature Request] Add spending limits and policy controls for agent payments #31

      Description

      @mkmkkkkk

      Problem

      MCPay handles the payment lifecycle elegantly — 402 negotiation, on-chain settlement, transparent retries. But once an agent has wallet access, there's no enforcement layer between "agent wants to pay" and "payment goes on-chain."

      Today, maxPaymentValue in withX402Client is the only guardrail, and it's a static per-transaction cap set at init time. There's no way to enforce:

      • Cumulative budgets — hourly/daily/monthly spend limits
      • Rate limiting — max N transactions per time window
      • Recipient allowlists/blocklists — restrict which addresses an agent can pay
      • Per-tool policies — different limits for different tool calls (e.g. a $0.001 weather lookup vs. a $5 data export)
      • Human-in-the-loop approval — flag transactions above a threshold for manual review

      As agents gain more financial autonomy, the gap between "can pay" and "should pay" becomes a real risk surface.

      Proposal

      Add a policy engine that evaluates every payment against configurable rules before it hits the chain. Conceptually, this sits between the x402 negotiation and the actual signing step.

      Possible interface

      constpaymentClient=withX402Client(client,{wallet: {evm: evmSigner},policy: {maxPerTransaction: 0.10,// USDCmaxPerHour: 1.00,maxPerDay: 10.00,allowedRecipients: ["0x..."],// optional allowlistrequireApproval: {above: 5.00,// flag for human reviewcallback: async(tx)=>{/* webhook / UI prompt */}}}})

      Where it fits in the flow

      In the existing sequence diagram, the policy check would happen at steps (5a)/(6b) — after the 402 metadata is received but before signing/broadcasting the transaction:

      402 received → policy.evaluate(amount, recipient, tool, context) → allow/deny/escalate → sign → broadcast
      

      This keeps it non-breaking — the policy engine is opt-in and the default behavior (no policy = allow all) stays the same.

      Existing work

      PaySentry is an open-source SDK that implements this pattern for x402 payments — per-transaction limits, rolling budgets, recipient controls, and observability hooks. Its @paysentry/control package specifically handles the policy evaluation step.

      Could be worth looking at as a reference implementation or potential integration path. The core idea (evaluate-before-sign) is what matters, regardless of which library implements it.

      Why this matters for MCPay

      MCPay is positioned as the payment infra for MCP. Adding governance/controls would:

      1. Unlock enterprise adoption — no finance team will approve agent wallets without spending controls
      2. Differentiate from raw x402 — x402 handles the protocol, MCPay + policy handles the trust layer
      3. Reduce liability — if an agent misbehaves, the policy engine is the circuit breaker

      Happy to discuss implementation approaches or contribute if there's interest.

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          Skip to content

          [Feature Request] Add spending limits and policy controls for agent payments #31

          Description

          @mkmkkkkk

          Problem

          MCPay handles the payment lifecycle elegantly — 402 negotiation, on-chain settlement, transparent retries. But once an agent has wallet access, there's no enforcement layer between "agent wants to pay" and "payment goes on-chain."

          Today, maxPaymentValue in withX402Client is the only guardrail, and it's a static per-transaction cap set at init time. There's no way to enforce:

          • Cumulative budgets — hourly/daily/monthly spend limits
          • Rate limiting — max N transactions per time window
          • Recipient allowlists/blocklists — restrict which addresses an agent can pay
          • Per-tool policies — different limits for different tool calls (e.g. a $0.001 weather lookup vs. a $5 data export)
          • Human-in-the-loop approval — flag transactions above a threshold for manual review

          As agents gain more financial autonomy, the gap between "can pay" and "should pay" becomes a real risk surface.

          Proposal

          Add a policy engine that evaluates every payment against configurable rules before it hits the chain. Conceptually, this sits between the x402 negotiation and the actual signing step.

          Possible interface

          constpaymentClient=withX402Client(client,{wallet: {evm: evmSigner},policy: {maxPerTransaction: 0.10,// USDCmaxPerHour: 1.00,maxPerDay: 10.00,allowedRecipients: ["0x..."],// optional allowlistrequireApproval: {above: 5.00,// flag for human reviewcallback: async(tx)=>{/* webhook / UI prompt */}}}})

          Where it fits in the flow

          In the existing sequence diagram, the policy check would happen at steps (5a)/(6b) — after the 402 metadata is received but before signing/broadcasting the transaction:

          402 received → policy.evaluate(amount, recipient, tool, context) → allow/deny/escalate → sign → broadcast
          

          This keeps it non-breaking — the policy engine is opt-in and the default behavior (no policy = allow all) stays the same.

          Existing work

          PaySentry is an open-source SDK that implements this pattern for x402 payments — per-transaction limits, rolling budgets, recipient controls, and observability hooks. Its @paysentry/control package specifically handles the policy evaluation step.

          Could be worth looking at as a reference implementation or potential integration path. The core idea (evaluate-before-sign) is what matters, regardless of which library implements it.

          Why this matters for MCPay

          MCPay is positioned as the payment infra for MCP. Adding governance/controls would:

          1. Unlock enterprise adoption — no finance team will approve agent wallets without spending controls
          2. Differentiate from raw x402 — x402 handles the protocol, MCPay + policy handles the trust layer
          3. Reduce liability — if an agent misbehaves, the policy engine is the circuit breaker

          Happy to discuss implementation approaches or contribute if there's interest.

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              Skip to content

              [Feature Request] Add spending limits and policy controls for agent payments #31

              Description

              @mkmkkkkk

              Problem

              MCPay handles the payment lifecycle elegantly — 402 negotiation, on-chain settlement, transparent retries. But once an agent has wallet access, there's no enforcement layer between "agent wants to pay" and "payment goes on-chain."

              Today, maxPaymentValue in withX402Client is the only guardrail, and it's a static per-transaction cap set at init time. There's no way to enforce:

              • Cumulative budgets — hourly/daily/monthly spend limits
              • Rate limiting — max N transactions per time window
              • Recipient allowlists/blocklists — restrict which addresses an agent can pay
              • Per-tool policies — different limits for different tool calls (e.g. a $0.001 weather lookup vs. a $5 data export)
              • Human-in-the-loop approval — flag transactions above a threshold for manual review

              As agents gain more financial autonomy, the gap between "can pay" and "should pay" becomes a real risk surface.

              Proposal

              Add a policy engine that evaluates every payment against configurable rules before it hits the chain. Conceptually, this sits between the x402 negotiation and the actual signing step.

              Possible interface

              constpaymentClient=withX402Client(client,{wallet: {evm: evmSigner},policy: {maxPerTransaction: 0.10,// USDCmaxPerHour: 1.00,maxPerDay: 10.00,allowedRecipients: ["0x..."],// optional allowlistrequireApproval: {above: 5.00,// flag for human reviewcallback: async(tx)=>{/* webhook / UI prompt */}}}})

              Where it fits in the flow

              In the existing sequence diagram, the policy check would happen at steps (5a)/(6b) — after the 402 metadata is received but before signing/broadcasting the transaction:

              402 received → policy.evaluate(amount, recipient, tool, context) → allow/deny/escalate → sign → broadcast
              

              This keeps it non-breaking — the policy engine is opt-in and the default behavior (no policy = allow all) stays the same.

              Existing work

              PaySentry is an open-source SDK that implements this pattern for x402 payments — per-transaction limits, rolling budgets, recipient controls, and observability hooks. Its @paysentry/control package specifically handles the policy evaluation step.

              Could be worth looking at as a reference implementation or potential integration path. The core idea (evaluate-before-sign) is what matters, regardless of which library implements it.

              Why this matters for MCPay

              MCPay is positioned as the payment infra for MCP. Adding governance/controls would:

              1. Unlock enterprise adoption — no finance team will approve agent wallets without spending controls
              2. Differentiate from raw x402 — x402 handles the protocol, MCPay + policy handles the trust layer
              3. Reduce liability — if an agent misbehaves, the policy engine is the circuit breaker

              Happy to discuss implementation approaches or contribute if there's interest.

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                  , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' [Feature Request] Add spending limits and policy controls for agent payments · Issue #31 · microchipgnu/MCPay · GitHub
                  Skip to content

                  [Feature Request] Add spending limits and policy controls for agent payments #31

                  Description

                  @mkmkkkkk

                  Problem

                  MCPay handles the payment lifecycle elegantly — 402 negotiation, on-chain settlement, transparent retries. But once an agent has wallet access, there's no enforcement layer between "agent wants to pay" and "payment goes on-chain."

                  Today, maxPaymentValue in withX402Client is the only guardrail, and it's a static per-transaction cap set at init time. There's no way to enforce:

                  • Cumulative budgets — hourly/daily/monthly spend limits
                  • Rate limiting — max N transactions per time window
                  • Recipient allowlists/blocklists — restrict which addresses an agent can pay
                  • Per-tool policies — different limits for different tool calls (e.g. a $0.001 weather lookup vs. a $5 data export)
                  • Human-in-the-loop approval — flag transactions above a threshold for manual review

                  As agents gain more financial autonomy, the gap between "can pay" and "should pay" becomes a real risk surface.

                  Proposal

                  Add a policy engine that evaluates every payment against configurable rules before it hits the chain. Conceptually, this sits between the x402 negotiation and the actual signing step.

                  Possible interface

                  constpaymentClient=withX402Client(client,{wallet: {evm: evmSigner},policy: {maxPerTransaction: 0.10,// USDCmaxPerHour: 1.00,maxPerDay: 10.00,allowedRecipients: ["0x..."],// optional allowlistrequireApproval: {above: 5.00,// flag for human reviewcallback: async(tx)=>{/* webhook / UI prompt */}}}})

                  Where it fits in the flow

                  In the existing sequence diagram, the policy check would happen at steps (5a)/(6b) — after the 402 metadata is received but before signing/broadcasting the transaction:

                  402 received → policy.evaluate(amount, recipient, tool, context) → allow/deny/escalate → sign → broadcast
                  

                  This keeps it non-breaking — the policy engine is opt-in and the default behavior (no policy = allow all) stays the same.

                  Existing work

                  PaySentry is an open-source SDK that implements this pattern for x402 payments — per-transaction limits, rolling budgets, recipient controls, and observability hooks. Its @paysentry/control package specifically handles the policy evaluation step.

                  Could be worth looking at as a reference implementation or potential integration path. The core idea (evaluate-before-sign) is what matters, regardless of which library implements it.

                  Why this matters for MCPay

                  MCPay is positioned as the payment infra for MCP. Adding governance/controls would:

                  1. Unlock enterprise adoption — no finance team will approve agent wallets without spending controls
                  2. Differentiate from raw x402 — x402 handles the protocol, MCPay + policy handles the trust layer
                  3. Reduce liability — if an agent misbehaves, the policy engine is the circuit breaker

                  Happy to discuss implementation approaches or contribute if there's interest.

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                      , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' [Feature Request] Add spending limits and policy controls for agent payments · Issue #31 · microchipgnu/MCPay · GitHub
                      Skip to content

                      [Feature Request] Add spending limits and policy controls for agent payments #31

                      Description

                      @mkmkkkkk

                      Problem

                      MCPay handles the payment lifecycle elegantly — 402 negotiation, on-chain settlement, transparent retries. But once an agent has wallet access, there's no enforcement layer between "agent wants to pay" and "payment goes on-chain."

                      Today, maxPaymentValue in withX402Client is the only guardrail, and it's a static per-transaction cap set at init time. There's no way to enforce:

                      • Cumulative budgets — hourly/daily/monthly spend limits
                      • Rate limiting — max N transactions per time window
                      • Recipient allowlists/blocklists — restrict which addresses an agent can pay
                      • Per-tool policies — different limits for different tool calls (e.g. a $0.001 weather lookup vs. a $5 data export)
                      • Human-in-the-loop approval — flag transactions above a threshold for manual review

                      As agents gain more financial autonomy, the gap between "can pay" and "should pay" becomes a real risk surface.

                      Proposal

                      Add a policy engine that evaluates every payment against configurable rules before it hits the chain. Conceptually, this sits between the x402 negotiation and the actual signing step.

                      Possible interface

                      constpaymentClient=withX402Client(client,{wallet: {evm: evmSigner},policy: {maxPerTransaction: 0.10,// USDCmaxPerHour: 1.00,maxPerDay: 10.00,allowedRecipients: ["0x..."],// optional allowlistrequireApproval: {above: 5.00,// flag for human reviewcallback: async(tx)=>{/* webhook / UI prompt */}}}})

                      Where it fits in the flow

                      In the existing sequence diagram, the policy check would happen at steps (5a)/(6b) — after the 402 metadata is received but before signing/broadcasting the transaction:

                      402 received → policy.evaluate(amount, recipient, tool, context) → allow/deny/escalate → sign → broadcast
                      

                      This keeps it non-breaking — the policy engine is opt-in and the default behavior (no policy = allow all) stays the same.

                      Existing work

                      PaySentry is an open-source SDK that implements this pattern for x402 payments — per-transaction limits, rolling budgets, recipient controls, and observability hooks. Its @paysentry/control package specifically handles the policy evaluation step.

                      Could be worth looking at as a reference implementation or potential integration path. The core idea (evaluate-before-sign) is what matters, regardless of which library implements it.

                      Why this matters for MCPay

                      MCPay is positioned as the payment infra for MCP. Adding governance/controls would:

                      1. Unlock enterprise adoption — no finance team will approve agent wallets without spending controls
                      2. Differentiate from raw x402 — x402 handles the protocol, MCPay + policy handles the trust layer
                      3. Reduce liability — if an agent misbehaves, the policy engine is the circuit breaker

                      Happy to discuss implementation approaches or contribute if there's interest.

                      Metadata

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                      No one assigned

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                        No labels
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                        No projects

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                          , 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' [Feature Request] Add spending limits and policy controls for agent payments · Issue #31 · microchipgnu/MCPay · GitHub
                          Skip to content

                          [Feature Request] Add spending limits and policy controls for agent payments #31

                          Description

                          @mkmkkkkk

                          Problem

                          MCPay handles the payment lifecycle elegantly — 402 negotiation, on-chain settlement, transparent retries. But once an agent has wallet access, there's no enforcement layer between "agent wants to pay" and "payment goes on-chain."

                          Today, maxPaymentValue in withX402Client is the only guardrail, and it's a static per-transaction cap set at init time. There's no way to enforce:

                          • Cumulative budgets — hourly/daily/monthly spend limits
                          • Rate limiting — max N transactions per time window
                          • Recipient allowlists/blocklists — restrict which addresses an agent can pay
                          • Per-tool policies — different limits for different tool calls (e.g. a $0.001 weather lookup vs. a $5 data export)
                          • Human-in-the-loop approval — flag transactions above a threshold for manual review

                          As agents gain more financial autonomy, the gap between "can pay" and "should pay" becomes a real risk surface.

                          Proposal

                          Add a policy engine that evaluates every payment against configurable rules before it hits the chain. Conceptually, this sits between the x402 negotiation and the actual signing step.

                          Possible interface

                          constpaymentClient=withX402Client(client,{wallet: {evm: evmSigner},policy: {maxPerTransaction: 0.10,// USDCmaxPerHour: 1.00,maxPerDay: 10.00,allowedRecipients: ["0x..."],// optional allowlistrequireApproval: {above: 5.00,// flag for human reviewcallback: async(tx)=>{/* webhook / UI prompt */}}}})

                          Where it fits in the flow

                          In the existing sequence diagram, the policy check would happen at steps (5a)/(6b) — after the 402 metadata is received but before signing/broadcasting the transaction:

                          402 received → policy.evaluate(amount, recipient, tool, context) → allow/deny/escalate → sign → broadcast
                          

                          This keeps it non-breaking — the policy engine is opt-in and the default behavior (no policy = allow all) stays the same.

                          Existing work

                          PaySentry is an open-source SDK that implements this pattern for x402 payments — per-transaction limits, rolling budgets, recipient controls, and observability hooks. Its @paysentry/control package specifically handles the policy evaluation step.

                          Could be worth looking at as a reference implementation or potential integration path. The core idea (evaluate-before-sign) is what matters, regardless of which library implements it.

                          Why this matters for MCPay

                          MCPay is positioned as the payment infra for MCP. Adding governance/controls would:

                          1. Unlock enterprise adoption — no finance team will approve agent wallets without spending controls
                          2. Differentiate from raw x402 — x402 handles the protocol, MCPay + policy handles the trust layer
                          3. Reduce liability — if an agent misbehaves, the policy engine is the circuit breaker

                          Happy to discuss implementation approaches or contribute if there's interest.

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                              [Feature Request] Add spending limits and policy controls for agent payments #31

                              Description

                              @mkmkkkkk

                              Problem

                              MCPay handles the payment lifecycle elegantly — 402 negotiation, on-chain settlement, transparent retries. But once an agent has wallet access, there's no enforcement layer between "agent wants to pay" and "payment goes on-chain."

                              Today, maxPaymentValue in withX402Client is the only guardrail, and it's a static per-transaction cap set at init time. There's no way to enforce:

                              • Cumulative budgets — hourly/daily/monthly spend limits
                              • Rate limiting — max N transactions per time window
                              • Recipient allowlists/blocklists — restrict which addresses an agent can pay
                              • Per-tool policies — different limits for different tool calls (e.g. a $0.001 weather lookup vs. a $5 data export)
                              • Human-in-the-loop approval — flag transactions above a threshold for manual review

                              As agents gain more financial autonomy, the gap between "can pay" and "should pay" becomes a real risk surface.

                              Proposal

                              Add a policy engine that evaluates every payment against configurable rules before it hits the chain. Conceptually, this sits between the x402 negotiation and the actual signing step.

                              Possible interface

                              constpaymentClient=withX402Client(client,{wallet: {evm: evmSigner},policy: {maxPerTransaction: 0.10,// USDCmaxPerHour: 1.00,maxPerDay: 10.00,allowedRecipients: ["0x..."],// optional allowlistrequireApproval: {above: 5.00,// flag for human reviewcallback: async(tx)=>{/* webhook / UI prompt */}}}})

                              Where it fits in the flow

                              In the existing sequence diagram, the policy check would happen at steps (5a)/(6b) — after the 402 metadata is received but before signing/broadcasting the transaction:

                              402 received → policy.evaluate(amount, recipient, tool, context) → allow/deny/escalate → sign → broadcast
                              

                              This keeps it non-breaking — the policy engine is opt-in and the default behavior (no policy = allow all) stays the same.

                              Existing work

                              PaySentry is an open-source SDK that implements this pattern for x402 payments — per-transaction limits, rolling budgets, recipient controls, and observability hooks. Its @paysentry/control package specifically handles the policy evaluation step.

                              Could be worth looking at as a reference implementation or potential integration path. The core idea (evaluate-before-sign) is what matters, regardless of which library implements it.

                              Why this matters for MCPay

                              MCPay is positioned as the payment infra for MCP. Adding governance/controls would:

                              1. Unlock enterprise adoption — no finance team will approve agent wallets without spending controls
                              2. Differentiate from raw x402 — x402 handles the protocol, MCPay + policy handles the trust layer
                              3. Reduce liability — if an agent misbehaves, the policy engine is the circuit breaker

                              Happy to discuss implementation approaches or contribute if there's interest.

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