Description
Vaaya is a credit infrastructure platform designed for AI agents, enabling them to make purchases on credit while maintaining control over spending. The platform allows agents to connect through MCP or API to access a wide range of services, including data, search, model, media, scraping, and compute services. Users can set spending limits and service categories for each agent, ensuring controlled transactions.
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Vaaya supports various AI agents such as Instinct, Claude, Codex, and Cursor, and offers developers the ability to connect custom agents via API or SDK. The platform facilitates purchases from the Vaaya catalog, including recipes, models, data, and media generation, as well as products, tickets, bookings, and subscriptions from supported stores.
The pricing model is pay-per-call, with no subscription or monthly minimums. Users can fund their accounts with prepaid credit or a credit line, with welcome credits available for new accounts. Vaaya ensures transparency by showing the exact price before each call, and failed calls incur no charges.
Vaaya is built and maintained by Vaaya Inc., with a focus on security, data privacy, and trust. The platform encrypts data in transit and at rest, and users can manage their agents' spending and access through a single account. Vaaya provides detailed transaction histories, allowing users to track spending and adjust budgets as needed.
- CategoryAI DevOps & Cloud Tools
- Pricing ModelPay-per-call
- DeploymentCloud
- PlatformsWeb
Vaaya's Core Features
Credit infrastructure for AI agents
Controlled spending limits
API and SDK integration
Pay-per-call pricing model
Prepaid and credit line funding
Detailed transaction history
Support for multiple AI agents
Security and data privacy measures
How to use Vaaya?
Sign up: Create an account
Configure: Set spending limits for agents
Use: Connect agents via API or MCP
Optimise: Review and adjust budgets
Vaaya's Use Cases
- Agent Spending Control
- API Integration
- Service Purchases
- Budget Management
- Transaction Tracking
