treg is an open-source tool registry and credential proxy designed to empower AI agents with a comprehensive toolbelt of capabilities. Created to solve the challenge of managing diverse API integrations, treg provides a unified platform where developers can consolidate credentials and enable AI agents to perform complex, multi-step tasks across SEO, media buying, social media research, and lead enrichment. By acting as a secure intermediary, treg allows agents to perform real-world actions without needing direct access to sensitive API keys, effectively treating them as first-class citizens in a professional software development environment.

Functionality is centered on a credential-injecting proxy that connects AI agents to over 2,700 API endpoints. The system handles authentication server-side, ensuring that secret values remain encrypted and never reside on the agent's host machine. Users can leverage treg's prepaid, pay-as-you-go balance for managed provider access or bring their own API keys to route calls through their existing subscriptions without additional markup. The platform is designed for interoperability, working seamlessly with major coding agents and command-line interfaces to streamline automation workflows.

Some of the key features are:

• Unified Credential Management: Consolidates multiple provider keys into a single secure vault accessible via a single token.
• Extensive Tool Catalog: Provides access to over 2,700 API endpoints across 80+ platforms including SEO, social media, and CRM tools.
• Agent-Ready Architecture: Specifically built for AI agents to call tools by task description rather than vendor-specific implementation.
• Pay-Per-Result Pricing: Offers transparent billing where users pay fractions of a cent per call without requiring individual provider subscriptions.
• Bring Your Own Key (BYOK): Supports integration of existing provider subscriptions to route traffic through the user's own keys.
• Secure Proxying: Injects credentials server-side to ensure that secrets are never exposed on client machines.
• Open Source Core: The platform is 100% open source under an AGPL license, allowing for self-hosting and full transparency.

Users interact with treg through a simple API-based workflow. Once a team is set up and credentials are added to the vault, an AI agent can execute tasks by calling the unified treg endpoint. The proxy manages the upstream request, injects the necessary credentials, and returns the response verbatim to the agent. This abstraction allows developers to build complex automations that switch between different data providers based on real-time metrics like cost, speed, and success rate, all without modifying the core agent code.

Some common use cases include:

• Automated SEO Audits: Agents can fetch live SERP data, keyword volumes, and backlink metrics to provide real-time competitive analysis.
• Lead Enrichment: Agents can automatically identify decision-makers, verify contact details, and gather firmographic data from multiple CRM sources.
• Social Trend Research: Researchers can configure agents to monitor hashtags, profiles, and engagement data across platforms like TikTok, Reddit, and X.
• Competitor Ad Monitoring: Agencies can use agents to scrape live ad libraries from Meta, Google, and TikTok to track competitor creative strategies.
• Market Data Analysis: Agents can pull historical stock data, crypto market trends, or funding information to assist in investment research.