Unified API Integration
Platform for AI Agents
Stop writing redundant API wrappers. DataGrout's Multiplexing, Conduit SDK, and Discovery give AI agents a single endpoint to discover and interact with every enterprise system — Salesforce, QuickBooks, custom CRMs, and beyond.
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Why AI Agent Integrations Break Down at Scale
Connecting an agent to one system is straightforward. Connecting it to a dozen enterprise systems — reliably, securely, and without rebuilding the same plumbing every time — is an infrastructure problem.
Redundant API Wrappers for Every System
Every enterprise integration — Salesforce, QuickBooks, a custom CRM — requires its own client library, auth logic, retry handling, and schema mapping. Teams rebuild the same boilerplate for each new system an agent needs to reach.
Auth Complexity Multiplies With Each Integration
OAuth 2.1 flows, token refresh cycles, mTLS certificates, and credential rotation are handled differently by every provider. Managing separate auth mechanisms per integration creates a fragile, high-maintenance authentication layer.
Agents Can't Find Tools They Don't Already Know
When an agent has access to hundreds of integrations, it can't search by goal — it has to know the exact tool name and invocation pattern. This makes dynamic, goal-driven agent behavior nearly impossible to build.
No Single Endpoint to Govern
Multiple integration endpoints mean multiple attack surfaces, multiple audit trails, and multiple policy boundaries to maintain. Security and governance teams can't apply consistent rules when integrations are scattered across the stack.
Context Limits Are Blown by Tool Catalogs
Injecting the full schema for hundreds of available tools into every agent prompt isn't scalable. Agents either get a narrow tool list (missing better options) or burn their context window on tool definitions before the actual task.
No Portable Client Across Languages
Teams working in Python, TypeScript, Rust, or other languages must maintain separate integration clients or rely on inconsistent community libraries. There's no production-grade, idiomatic MCP client that works the same way everywhere.
Three Tools. One Unified Integration Layer.
Multiplexing, the Conduit SDK, and Discovery work together to eliminate the n+1 integration problem — giving agents a single, semantically-aware gateway to every enterprise system.
Multiplexing
All integrations behind one endpoint.
DataGrout's Hub aggregates every connected integration — Salesforce, QuickBooks, Slack, GitHub, custom REST APIs — behind a single MCP endpoint. Agents make one connection to DataGrout and gain access to all integrated systems without managing individual clients or credentials per service.
View Multiplexing →Conduit SDK
Production-ready MCP client with mTLS and OAuth 2.1.
Available in Python, TypeScript, Rust, Elixir, and Ruby. Conduit provides idiomatic wrappers for every DataGrout surface — zero-config mTLS identity, OAuth 2.1 token management, semantic tool discovery, and batch operations. Auth, retries, and cost tracking are handled so you write agent logic, not integration plumbing.
View Conduit SDK →Discovery
Find integrations by goal, not by name.
When an agent is given a high-level goal — 'process these invoices' — Discovery semantically searches the entire multiplexed tool catalog to find the right tools from connected systems. discovery.plan generates verified multi-step workflows across integrations, allowing agents to use tools they've never explicitly been told about.
View Discovery →Connecting an Agent to Salesforce, QuickBooks, and a Custom CRM
An AI engineer needs their agent to interact with three enterprise systems without writing separate API clients, auth flows, or tool definitions for each one.
Connect once, access everything
Multiplexing + HubThe engineer connects their agent to DataGrout's Hub — a single MCP endpoint. Through Hub, the agent immediately has access to Salesforce, QuickBooks, and the custom internal CRM, all aggregated behind one connection. No separate client libraries, no per-system credential management.
Authenticate with a single import
Conduit SDKUsing the Conduit SDK, the agent gets mTLS-based identity and OAuth 2.1 tokens handled automatically. The engineer writes client.salesforce or client.quickbooks — the SDK resolves credentials, handles token refresh cycles, and retries transient failures without any manual auth logic.
Find the right tool by goal
DiscoveryWhen the agent needs to 'sync a new deal to QuickBooks', it calls discovery.discover with that natural language goal instead of hardcoding API paths. Discovery semantically searches the full catalog of connected tools and returns the ranked, relevant operations — even for APIs the agent has never explicitly been trained on.
Plan multi-system workflows automatically
Discovery + FlowFor complex cross-system operations — pulling a Salesforce opportunity, creating a QuickBooks invoice, and logging to the internal CRM — the agent calls discovery.plan. This returns a verified, type-safe multi-step workflow that chains operations across all three systems, complete with cost estimates and a CTC.
What You Get Out of the Box
A unified API integration layer that eliminates boilerplate, handles auth, and lets agents find and use tools semantically — from day one.
One connection, every integration
Multiplexing aggregates all connected systems behind a single MCP endpoint. Agents connect once and gain access to every enterprise integration — no per-system client setup required.
Auth is handled, not delegated
Conduit SDK manages mTLS identity, OAuth 2.1 flows, and token refresh automatically. Engineers write agent logic, not credential lifecycle code.
Agents discover tools by goal
Discovery's semantic search lets agents find the right integration tool from natural language goals — no hardcoded API paths, no pre-trained tool lists required.
Cross-language parity
Conduit provides idiomatic clients in Python, TypeScript, Rust, Elixir, and Ruby — all with the same interface, the same auth model, and the same semantic tool access.
Multi-system workflows in one plan
discovery.plan generates verified, type-safe workflows that chain operations across multiple integrated systems — with cost estimates and CTC sealing before execution begins.
A single governance boundary
All integrations flow through Hub's unified endpoint, giving security teams one place to apply policies, audit access, and enforce rate limits across every connected system.
Frequently Asked Questions
Common questions about DataGrout's unified API integration platform.
Ready to unify your AI agent integrations?
One endpoint. Every enterprise system. Semantic discovery. Connect in minutes — no API wrappers to write.
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