Product Introduction

1. Gram by Speakeasy is a platform designed to transform existing APIs into powerful tools for Large Language Models (LLMs) and AI agents. It automates the creation, curation, and distribution of AI-ready tools by leveraging OpenAPI specifications to generate tool definitions and workflows. The platform enables enterprises to deploy Managed Conversational Process (MCP) servers at scale with enterprise-grade security and compliance.
2. The core value of Gram lies in bridging the gap between traditional APIs and modern AI-driven applications, allowing organizations to unlock their API ecosystems for LLM integrations. It provides a unified framework to optimize tools for agentic workflows, ensuring high performance, scalability, and compliance with minimal operational overhead.

Main Features

1. Gram automatically generates AI tool definitions from OpenAPI specifications, converting endpoints like GET /pet/{id} into executable tools such as findPetById with built-in validation and documentation. This process eliminates manual coding and ensures compatibility with LLM frameworks.
2. The platform enables the creation of higher-order tools that combine multiple API calls into complex workflows, such as registerNewPet, which validates inputs, checks for existing records, and updates statuses across multiple systems in a single operation.
3. Gram offers enterprise-grade tool distribution through a secure Tools Gateway, supporting managed authentication, audit logs, telemetry, and rate limiting. It allows deployment on-premises or in cloud environments, ensuring full control over data compliance and infrastructure.

Problems Solved

1. Gram addresses the challenge of adapting legacy APIs for AI use cases by automating the conversion of OpenAPI specs into LLM-compatible tools, reducing development time and ensuring consistency.
2. The platform targets enterprises and developers building AI agents or LLM-powered applications that require seamless integration with internal APIs, third-party services, and complex workflows.
3. Typical use cases include creating curated toolsets for departments like sales (e.g., Salesforce and HubSpot integrations) or engineering (e.g., GitHub and Datadog monitoring), deploying MCP servers with zero downtime, and refining tools through iterative testing for optimal agent performance.

Unique Advantages

1. Unlike generic API management platforms, Gram specializes in AI tooling by combining automated OpenAPI conversion, workflow orchestration, and LLM-specific optimizations like prompt template cataloging.
2. The platform innovates with features like one-click MCP server hosting, higher-order tool creation for multi-step agentic workflows, and toolsets that remix APIs across internal and third-party services.
3. Competitive advantages include model-agnostic compatibility (works with any LLM framework), enterprise-grade security with passthrough authentication, and 99.9% SLA-guaranteed uptime for mission-critical deployments.

Frequently Asked Questions (FAQ)

1. How does Gram generate tools from OpenAPI specifications? Gram parses OpenAPI YAML/JSON files to auto-create validated tool definitions, including endpoint mappings, parameter validation rules, and documentation, which are immediately usable by AI agents through the Tools Gateway.
2. What are higher-order tools, and how do they work? Higher-order tools combine multiple API calls into single workflows using conditional logic; for example, registerNewPet executes findPetById, addPet, and updatePet sequentially with error handling between steps.
3. Can Gram handle enterprise security requirements? Yes, Gram provides built-in telemetry, audit logs, and RBAC for toolsets, supports SAML/OAuth for authentication, and allows on-premises deployment to meet strict data governance and compliance standards.
4. How does tool versioning and deployment work? Users can redeploy new tool versions with zero downtime using Gram's MCP server management, test tools in staging environments, and roll back updates instantly via the dashboard.
5. What LLM frameworks does Gram support? Gram is model-agnostic and integrates with any framework using standard API protocols, including OpenAI, Anthropic, and custom-built agents, through its Tools Gateway interface.