Data & Storage · Integration
IBM DA
Add IBM DA to your product for your customers, and give your AI agents governed access to it.
Embed an IBM DA integration so your customers can bring data out of their own IBM DA account and into your product without a manual export step. Each tenant carries its own configuration, so record and field mapping is configuration per customer rather than code, and a change on their side is a mapping update instead of a release on yours. fastn handles per-customer credentials, pagination, throttling, and API upkeep.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let customers read their own records into your product, mapped to the fields your product uses.
Pull reports on a schedule so your product works from current numbers rather than a stale copy.
Backfill historical data on onboarding, rate-limited so the import does not exhaust a customer's allowance.
Trigger your product when new data lands so downstream work starts without polling.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent reads records before answering a question grounded in the customer's own data.
An agent pulls a report and summarises what changed since the last period.
An agent reacts to newly arrived data and runs the next step of a workflow within governed permissions.
Example prompt
Pull the latest records from this account and summarise what changed compared with last month.
Set up IBM DA in 4 steps
- 01Open the IBM DA connector from your fastn dashboard.
- 02Have each customer authenticate their own IBM DA account.
- 03Map the records and fields your product reads, then enable actions and triggers.
- 04Call them from your product, or expose them to an agent through the MCP server.
Why teams use the IBM DA integration
What you get by embedding it with fastn instead of building it yourself.
- Ship an IBM DA integration without building it. Your customers connect their own IBM DA account inside your product and work their records, datasets and fields there, with no per-customer code on your side.
- Handle the part that actually costs time: schemas differ per customer and change without notice, and volumes can be large. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so an IBM DA update is not your on-call problem.
- One integration serves your product and your agents. The same governed IBM DA connection powers in-product features and gives AI agents scoped, audited access, so you read and write your customers' data where it already lives without wiring it twice.
Used by these teams
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How do I add an IBM DA integration to my product?
Enable the IBM DA connector in your fastn dashboard, then let each customer authenticate their own IBM DA account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no IBM DA client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own IBM DA account?
Yes. Every connection is scoped to the individual customer, so each authorises their own IBM DA account and only ever sees their own records, datasets and fields. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.
Can AI agents use this IBM DA integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent reads records before answering a question grounded in the customer's own data.
Who maintains the IBM DA integration?
fastn does. When IBM DA changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.
Does the IBM DA integration adapt when a customer's schema changes?
Schema and field mapping is configuration per customer, so a change on their side is a mapping update rather than a code change and a release on yours.
How are large IBM DA reads handled?
Pagination and throttling are handled for you, and initial backfills are rate-limited so a large import does not exhaust a customer's API allowance.
What can I build with the IBM DA integration?
A common starting point: read their own records into your product, mapped to the fields your product uses. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.
How much does the IBM DA integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding IBM DA does not change your per-connector cost. You can start free with 3 connected accounts.
Add IBM DA to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.