CONTEXT INFRASTRUCTURE

The context layer for AI agents

Switchyard connects your agents to live business data, APIs, tools, and actions. Search, retrieve, monitor, and trigger through one typed interface over API, SDK, or MCP.

50 ms

Median response

99.99%

Uptime SLA

Full trace

Every request audited

switchyard · playgroundconnected
Request tracestripe.invoices
ReceiveDiscoverStructureExecuteVerify
Structured output
{
  "query": "overdue invoices",
  "matches": 3,
  "source": "stripe.invoices",
  "status": "resolved"
}

TRUSTED BY ENGINEERING TEAMS AT

Northwind

Meridian

Helio

Vantage

Arcline

Lumen

CAPABILITIES

Everything an agent

needs to act

One typed interface for the full request lifecycle. Discover context, structure it, act on it, and verify the result.

01

Search

Query across every connected source in one call. Natural language in, typed results out.

02

Retrieve

Pull records, documents, and live context back with predictable, structured schemas.

03

Monitor

Watch for changes and let agents react the moment business state moves.

04

Trigger

Let agents take action safely, with typed inputs and fully audited execution.

05

Trace

Follow every request end to end. Inspect each stage, its input, and its output.

06

Connect

Ship over API, SDK, or MCP. Works with Claude, Cursor, and every major agent.

HOW IT WORKS

Follow a request through the system

Every call moves through the same five stages. Switchyard handles discovery, structure, and verification so your agent only states intent.

TRACE · req_8f42

01 RECEIVE

The request arrives

An agent hits the endpoint with a scoped key.

t+0msagentscoped key
{
  "request": "refund overdue invoice",
  "agent": "support-bot",
  "auth": "scoped_key"
}

02 DISCOVER

Switchyard finds the right systems

The request is matched against live sources.

t+12ms3 sources matched
{
  "sources": [
    "stripe.invoices",
    "hubspot.contacts",
    "postgres.orders"
  ],
  "matched": 3
}

03 STRUCTURE

Context becomes typed data

Raw context is parsed into a typed schema.

t+38msschema v2
{
  "invoice": "inv_8412",
  "amount": 420.00,
  "customer": "acme.co",
  "days_overdue": 21
}

04 EXECUTE

The action runs, safely

The refund executes inside granted permissions.

t+61mspermission granted
{
  "action": "refund",
  "target": "inv_8412",
  "approval": "granted"
}

05 VERIFY

Every step, audited

The full trace is signed and stored.

t+74mstrace complete
{
  "status": "verified",
  "trace_id": "req_8f42",
  "audit": "complete"
}

BUILT FOR DEVELOPERS

From intent to action in a few lines

Typed SDKs, a hosted MCP server, and streaming traces. No glue code, no brittle scrapers, no prompt spaghetti.

Typed clients for Node and Python

Hosted MCP server for every agent

Streaming, inspectable request traces

Audit logs on every executed action

CONNECT

One integration,

every surface

Expose your data and tools once. Reach every agent over the protocol it already speaks.

REST API

Call any capability over plain HTTPS. Predictable, typed responses.

TypeScript & Python SDK

First-class typed clients with retries and streaming built in.

MCP Server

A drop-in server that connects Claude, Cursor, and every major agent.

PERFORMANCE

Fast enough to stay out of the way

One hop to structured context. No scraping, no retries, no waiting on the model to guess.

Median latency, end to end

LOWER IS BETTER

Switchyard

48 ms

Agent framework + glue

180 ms

DIY scraping pipeline

420 ms

Illustrative benchmark. Replace with your own measurements.

Illustrative benchmark. Replace with your own measurements.

INSIGHTS

80%

Replace glue code and scrapers with one typed interface.

INSIGHTS

70%

Agents get structured context back in a single hop.

INSIGHTS

100%

Every executed action ships with a full request trace.

USE CASES

Built for teams shipping real agents

Support & success

Resolve tickets with live account context, not stale docs.

Zendesk · Intercom · Stripe

Revenue operations

Let agents update CRM, invoices, and forecasts, safely.

Salesforce · HubSpot · Stripe

Internal copilots

Give every team a copilot wired into real systems.

Notion · Slack · Postgres

Switchyard replaced three internal services and a pile of glue code. Our agents finally have context they can trust, and we can see every request they make.

DANA WHITFIELD · HEAD OF AI, MERIDIAN

PRICING

Start free.

Scale when you do.

Usage-based pricing that grows with your agents. No seats, no surprises.

Free

$0

/mo

For evaluating and side projects

Start free

1,000 requests / mo

Community MCP server

Up to 3 sources

Team

MOST POPULAR

$99

/mo

For teams shipping to production

Start building

100,000 requests / mo

Hosted MCP server + SDKs

Unlimited sources

Full audit logs

Enterprise

Custom

For scale, security, and SLAs

Book a demo

Volume pricing

SSO and RBAC

Dedicated support

99.99% uptime SLA

FAQ

Questions, answered

Vector search is one capability. Switchyard also connects to live APIs and tools, structures the results, and can take action, all through one typed interface.

GET STARTED

Give your agents context they can trust

Start building in minutes, or book a demo to see Switchyard running on your own stack.

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