Prava

Product Introduction

1. Definition: Prava is a specialized Agentic Payment Infrastructure and fintech stack designed to enable AI agents, autonomous assistants, and LLM-driven applications to execute financial transactions. It functions as a secure middleware layer that bridges the gap between AI discovery (browsing/recommendation) and actual commerce by providing a PCI DSS-compliant payment gateway specifically for non-human actors.

2. Core Value Proposition: Prava exists to eliminate the "Redirect Friction" in AI-driven commerce. While traditional AI assistants can recommend products, they typically provide a link that requires the user to leave the app to complete a purchase. Prava transforms these redirect links into a one-click agentic checkout experience. By integrating Visa Intelligent Commerce and secure tokenization, Prava allows AI agents to securely use a user’s card or wallet to complete purchases directly within the native AI interface, significantly increasing conversion rates for agentic commerce applications.

Main Features

1. Tokenized Card-Based Agentic Payments: Prava leverages high-security tokenization to facilitate transactions. Instead of sharing raw credit card data with the AI or the merchant, the system generates a scoped payment token. This token is cryptographically locked to a specific merchant and a pre-approved transaction amount. This ensures that even if an AI agent is compromised, the payment credentials cannot be reused, replayed, or exploited for unauthorized purchases.

2. PCI DSS Level 2 Compliance & Secure Vaulting: The infrastructure is PCI DSS Level 2 Certified, utilizing a PCI DSS Level 1 Certified data vaulting provider (Skyflow). This architecture ensures that the AI application, the LLM, and the Prava platform itself never "touch" sensitive raw card data. By offloading compliance requirements, developers can integrate financial capabilities without undergoing the rigorous and expensive process of individual PCI certification.

3. Biometric Passkey Approval Flow: To maintain the "Human-in-the-Loop" security model, Prava integrates WebAuthn/Passkey technology. When an AI agent is ready to checkout, the user receives a prompt to authorize the transaction using FaceID, TouchID, or biometric fingerprints. This provides a seamless yet secure layer of authentication that prevents autonomous "overspending" and ensures every dollar spent is explicitly approved by the account holder.

4. Universal PSP & Protocol Compatibility: Unlike ecosystem-locked solutions (like Stripe tokens which only work within the Stripe network), Prava is designed for Global Interoperability. Its one-time virtual cards and scoped tokens are compatible with any Payment Service Provider (PSP) worldwide. This allows AI agents to shop at any online merchant, regardless of the underlying payment processor the merchant uses.

Problems Solved

1. Pain Point: Redirection and Conversion Drop-off: Traditional AI apps act as discovery tools that "handoff" the user to a browser via a link. This transition often results in high bounce rates and abandoned carts. Prava solves this by enabling In-App Checkout, allowing the AI to complete the transaction autonomously while the user remains in the chat or assistant interface.

2. Target Audience:

• AI Engineers & Developers: Building shopping assistants, travel booking agents, or personal stylists.
• Fintech Product Managers: Seeking to implement secure, compliant payment flows for autonomous systems.
• E-commerce Platforms: Looking to enable "Buy Now" capabilities for third-party AI agents.
• Enterprise AI Teams: Requiring a secure, audited way for internal agents to handle corporate procurement.

3. Use Cases:

• AI Shopping Assistants: An AI finds the best price for running shoes and completes the purchase once the user approves the specific item.
• Autonomous Travel Booking: An AI booking agent reserves flights and hotels across multiple platforms using a single secure wallet.
• Personal Stylist Apps: AI-driven fashion apps that can "buy the look" for a user across different clothing retailers instantly.
• AI Procurement Bots: Corporate agents that manage SaaS subscriptions or hardware orders within set budget limits.

Unique Advantages

1. Differentiation: Traditional payment gateways are built for human-to-merchant interactions (HTML forms). Prava is built for machine-to-merchant interactions. While Stripe or PayPal require a redirected browser session, Prava provides a 4-line code integration that allows the AI's backend to programmatically trigger a secure, tokenized checkout that works globally across any payment processor.

2. Key Innovation: The primary innovation is the integration of Visa Intelligent Commerce within an agentic framework. By partnering with global card networks, Prava provides a "universal adapter" for AI payments. It combines the security of a virtual credit card with the intelligence of an AI agent, ensuring that the AI can act as a financial proxy without ever seeing or storing the user's primary account number (PAN).

Frequently Asked Questions (FAQ)

1. How does Prava ensure the AI doesn't overspend or buy the wrong item? Prava uses a "Scoped Token" system. Every transaction requires a biometric passkey approval (FaceID/Fingerprint) from the user. The token generated is only valid for the specific merchant and the exact amount the user authorized. If the AI attempts to change the price or the recipient, the transaction will be rejected by the network.

2. Is Prava a replacement for Stripe or Adyen? No, Prava acts as an orchestration and security layer that sits on top of existing payment networks. While Stripe tokens only work for Stripe-enabled merchants, Prava's tokenized infrastructure is PSP-agnostic, meaning an AI can use Prava to pay a merchant who uses Stripe, Braintree, Adyen, or any other global processor.

3. How long does it take to integrate Prava into an AI application? Developers can get started in minutes using the Prava Playground. The production integration typically requires only 4 to 5 lines of code to trigger the payment vault and authentication flow. This significantly reduces the development time from months (required for direct Visa/Mastercard integrations) to just a few days.

4. What is the difference between Prava and a standard digital wallet? Standard digital wallets (like Apple Pay) require the human to be present at the checkout page to trigger the interaction. Prava allows the AI agent to navigate the checkout flow on behalf of the user, filling in shipping details and applying the payment token autonomously, only calling the user for the final biometric "yes/no" approval.