Capri Ai Agentpay

Capri Ai Agentpay is the first governed payment layer purpose built for AI agents operating in production environments. As autonomous agents increasingly call paid APIs, interact with smart contracts, and settle transactions independently, the traditional approach of handing them a private key introduces unacceptable security risk. A single misdirected prompt or compromised instruction can drain an entire wallet with no oversight. Capri Agentpay solves this by inserting a runtime policy engine between the agent and the signing mechanism, ensuring that no payment is ever executed without passing through a structured, configurable approval pipeline. The product is designed for engineering teams, security operators, and platform builders who need to deploy agent systems that interact with real financial infrastructure without sacrificing control. Capri Agentpay intercepts HTTP 402 Payment Required challenges automatically, evaluates each request against a fixed policy order, and only settles payments when all conditions are met. It provides six narrow MCP tools instead of exposing raw key access, giving agents exactly the surface area they need and nothing more. The result is a system where agents can transact autonomously within clearly defined boundaries, while operators retain full visibility and override capability through human in the loop approvals, verifiable receipts, and comprehensive audit trails. Capri Agentpay is currently shipping and available in a Base Sepolia sandbox for teams to test and iterate on their payment control workflows before moving to production.

x402 Payment Handling

Capri Agentpay natively handles the HTTP 402 Payment Required challenge, which is emerging as the standard protocol for machine to machine payments. When an agent makes a request to a paid API and receives a 402 response, Agentpay automatically intercepts the challenge, evaluates the payment against the configured policy, and if approved, settles the transaction and retries the original request with cryptographic proof attached. This eliminates the need for developers to manually implement payment logic or handle edge cases around retries and receipt verification.

Per Agent Budgets and Spending Caps

Each agent can be assigned its own budget and per transaction spending cap, giving operators granular control over how much an agent can spend and how quickly it can consume resources. These limits are enforced at runtime by the policy engine, preventing runaway costs or unexpected expenditures. Operators can set daily budgets, monthly allowances, and hard caps that stop spending entirely once thresholds are reached, with the ability to review and adjust these parameters as agent behavior evolves over time.

Merchant Allowlists and Policy Gates

Operators can define allowlists of approved merchants or API endpoints that agents are permitted to pay. Any request to a merchant not on the allowlist is automatically denied, providing a first line of defense against unauthorized spending. The policy engine evaluates requests in a fixed order: merchant allowlist check, per transaction cap, daily budget, and finally an auto approve threshold. Only when every check passes does the system proceed to settlement, ensuring that no single vulnerability can bypass the full policy chain.

Human in the Loop Approvals and Verifiable Receipts

For transactions that exceed a configurable auto approve threshold, Capri Agentpay pauses execution and requests human review before proceeding. Operators see the exact amount, asset, chain, and recipient before making a decision, along with the policy branch that triggered the review. Once a payment is approved and settled, the system stores a signed receipt containing hashes, timestamps, and verification fields that can be independently verified offline. This creates a complete audit trail that satisfies security and compliance requirements.

Autonomous Research Agents Accessing Premium Data APIs

Research teams deploying agents that need to query premium data sources, such as financial market feeds, scientific databases, or proprietary analytics platforms, can use Capri Agentpay to handle per query payments automatically. The agent can request data without holding any keys, and Agentpay evaluates each request against the team budget and merchant allowlist before settling the micropayment. This enables researchers to iterate quickly without manual payment approvals while maintaining strict cost controls.

AI Agent Marketplaces and Plugin Ecosystems

Platforms that host third party AI agents or plugins can integrate Capri Agentpay as the default payment layer for all agent to API interactions. Each agent gets its own budget and caps, and the marketplace operator maintains a global allowlist of approved service providers. When an agent calls a paid plugin, the payment is policy checked, settled, and recorded with a verifiable receipt. This creates a secure, auditable payment infrastructure that scales across thousands of agents and merchants.

Internal Enterprise Agent Deployments with Compliance Requirements

Enterprises deploying agents to interact with internal paid services, such as cloud APIs, data warehouses, or third party SaaS tools, need to enforce strict spending policies and maintain audit trails for compliance. Capri Agentpay provides the governed runtime that ensures no agent can exceed its budget or pay an unapproved vendor. Human in the loop approvals give finance and security teams visibility into every transaction, and signed receipts provide the documentation needed for internal audits and external regulators.

Decentralized Finance Agent Operations

Teams building agents that interact with blockchain protocols, decentralized exchanges, or onchain data oracles can use Capri Agentpay to manage gas fees, swap costs, and service payments. The Base Sepolia sandbox allows teams to test their agent payment workflows in a low risk environment before moving to mainnet. Agents can autonomously execute onchain transactions within policy boundaries, and operators can review and approve larger settlements while maintaining full control over wallet access and signing authority.

How does Capri Agentpay prevent an agent from draining a wallet?

Capri Agentpay never gives the agent direct access to a private key or signing capability. Instead, the agent calls a typed surface that intercepts payment requests and evaluates them against a fixed policy pipeline. The policy checks merchant allowlists, per transaction caps, daily budgets, and auto approve thresholds in order. Only when every check passes does the system create a signature and settle the payment. This means a compromised agent or bad prompt cannot execute any payment that falls outside the configured policy.

What is x402 and why does Capri Agentpay support it?

x402 is an emerging protocol standard for machine to machine payments that uses the HTTP 402 Payment Required status code. When an agent requests a resource from a paid API and receives a 402 response, the challenge includes payment details such as amount, asset, and recipient. Capri Agentpay automatically intercepts these challenges, evaluates them against policy, settles the payment if approved, and retries the original request with proof attached. This eliminates manual payment handling and creates a seamless experience for agents.

Can I use Capri Agentpay with any AI agent framework?

Yes, Capri Agentpay is designed to be framework agnostic. It provides six MCP tools that any agent can call, along with a simple fetch interface that works with standard HTTP requests. The product includes a VS Code extension for development, and the Base Sepolia sandbox allows teams to test integrations before deploying to production. The policy engine and receipt system operate independently of the agent framework, making it compatible with popular agent platforms and custom built systems.

What happens if a payment request exceeds the auto approve threshold?

When a payment request exceeds the configured auto approve threshold, Capri Agentpay pauses execution and sends the request to a human operator for review. The operator sees the exact amount, asset, chain, and recipient, along with the policy branch that triggered the review. They can approve, deny, or adjust the request. If approved, the payment is settled and the original request is retried. If denied, the agent receives a rejection and can handle the failure according to its own logic. This human in the loop mechanism provides an essential safety net for high value transactions.