Queryable context across systems
Airbyte turns connected sources into a searchable Context Store so agents can retrieve relevant records across systems before taking action.
Airbyte
Airbyte is a data and agent infrastructure platform that turns connected sources into a queryable Context Store for AI agents. It helps teams build agents that search across business systems, read fresh records, and act on current data.
Context layer and connector platform for AI agents
Airbyte is a data and agent infrastructure platform that turns connected sources into a queryable Context Store for AI agents. Its core purpose is to give agents live business context so they can search across systems, resolve relationships between records, and act on current data instead of stitching together fragmented API responses at runtime.
The product combines managed data connectors, a Context Store, an Agent MCP, and an Agent SDK. The website positions these pieces as a way to support production agent workflows across tools such as Salesforce, Zendesk, Stripe, Slack, Gong, Linear, and GitHub, while keeping sync, schema handling, and updates under a single connection. Pricing is available through self-serve plans and sales-assisted options, including a capacity-based Pro plan and custom arrangements for enterprise or embedded use cases.
Core capabilities
Managed connectors and sync
The platform connects to 600+ apps and handles authentication, syncs, schema changes, and updates after a single connection.
Three build paths
Airbyte Agents can run through the UI, an MCP connection, or the Agent SDK, giving teams multiple ways to build agent workflows.
AO-based pricing model
The pricing model is based on Agent Operations, with separate charges for search, read, act, and reason steps.
Read and write through the SDK
The SDK supports fresh reads and writes through the same interface, including searching records, listing data, and updating systems.
Production controls and support
Platform features on higher plans include faster syncs, RBAC, row filtering, hashing and encryption, multiple data regions, and support options.
Ways teams use Airbyte
Answer customer questions with full context
An AI product team can connect its customer, support, and billing tools so an agent can answer questions with cross-system context instead of separate API calls.
Reason across revenue and support data
A finance or operations team can use the Context Store to bring together records from CRM, tickets, and billing systems before an agent recommends next actions.
Build agents with live reads and writes
Developers building internal or customer-facing agents can use the SDK or MCP connection to search records, fetch fresh state, and write updates from one workflow.
Reduce connector maintenance
Teams that want lower setup overhead can rely on managed connectors and one-time authentication rather than maintaining individual API integrations.
Pros and Cons
Pros
- Connects multiple business systems into one searchable context layer for agents.
- Offers more than one way to build: UI automation, MCP access, and SDK-based development.
- Supports live reads and writes, not just static data export.
- Includes managed auth and connector maintenance, which reduces setup overhead.
- Documents pricing options for both self-serve and sales-assisted buying motions.
Cons
- The site only provides partial detail on some integrations and workflow limits, so buyers may need to validate fit for specific systems.
- The pricing model is nuanced, with different plan types and Agent Operations concepts that may take some review to understand.
- Some enterprise and embedded scenarios require working with sales for custom pricing.
FAQ
What plans does Airbyte offer?
Airbyte offers a Free plan, Standard and Plus plans for teams with predictable usage, a Pro plan with capacity-based pricing, and an Enterprise Flex plan that is handled through sales.
How does Airbyte’s pricing work?
On the Pro plan, Airbyte prices capacity using Data Workers rather than data moved. The company says this gives predictable spend and avoids charges that rise directly with volume.
How do agents use Airbyte?
Airbyte’s Context Store and Agent products are designed to let agents search across connected systems, then use live connectors or the SDK to read and act on current records when needed.
Can teams start small and expand later?
Yes. The pricing page says you can start free and upgrade later, and the company also offers a talk-to-sales path for tailored quotes and custom plans.
Do idle connectors or workspaces cost anything?
The pricing page says idle connectors or workspaces do not cost anything; Airbyte meters Agent Operations instead.
Quick Facts
- Category
- AI agents / data infrastructure
- Source domain
- airbyte.com
- Primary use
- Context layer for agents across business systems
- Build options
- UI Automation Builder, Agent MCP, Agent SDK
- Pricing
- Free, Standard, Plus, Pro, and Enterprise Flex options are referenced
- Connectors
- 600+ apps are referenced
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