Reference & Lookup Data · Integration
Data247
Add Data247 to your product for your customers, and give your AI agents governed access to it.
Embed a Data247 integration so your product can run the data lookups your customers rely on and write the results back into their own records, without you maintaining another API client. Each customer's credentials are held and scoped per tenant, so lookups are attributable and one customer's usage never draws on another's allowance. fastn handles the authentication, throttling, and API upkeep, so a provider change lands in the connector rather than in your release.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let customers run lookups against their own Data247 account from inside your product.
Enrich a record at the point of creation so your product does not store incomplete data.
Validate submitted details before a workflow continues, rather than after it fails downstream.
Batch lookups with throttling handled for you so a bulk enrichment does not exhaust a customer's allowance.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent runs a lookup to fill a gap before answering a question about a record.
An agent enriches a set of records within governed permissions, with each call logged.
An agent reacts to a new record and runs the enrichment step automatically.
Example prompt
Enrich the records created this week that are missing contact details and list the ones that came back empty.
Set up Data247 in 4 steps
- 01Open the Data247 connector from your fastn dashboard.
- 02Have each customer authenticate with their own Data247 credentials.
- 03Map the lookups and fields your product uses, then enable the actions you need.
- 04Call them from your product, or expose them to an agent through the MCP server.
Why teams use the Data247 integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a Data247 integration without building it. Your customers connect their own Data247 account inside your product and work their lookups, results and reports there, with no per-customer code on your side.
- Handle the part that actually costs time: these are metered read sources, so an uncached lookup on every page view burns the customer's allowance. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so a Data247 update is not your on-call problem.
- One integration serves your product and your agents. The same governed Data247 connection powers in-product features and gives AI agents scoped, audited access, so you answer questions from an authoritative outside source without holding that data yourself without wiring it twice.
Used by these teams
Compare with
ClearbitWorks well with
Bright DataOften used alongside
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SnowflakeData247 integration FAQ
How do I add a Data247 integration to my product?
Enable the Data247 connector in your fastn dashboard, then let each customer authenticate their own Data247 account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Data247 client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Data247 account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Data247 account and only ever sees their own lookups, results and reports. 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 Data247 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 runs a lookup to fill a gap before answering a question about a record.
Who maintains the Data247 integration?
fastn does. When Data247 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.
Whose credentials does a Data247 lookup run under?
Each customer's own. Quota and cost land on the customer that caused them rather than on a shared key you have to meter and re-bill, and one heavy customer cannot exhaust another's allowance.
How should Data247 results be cached?
Per tenant, with a window that matches how fast the underlying data actually moves. Data247 is a read source rather than a system of record, so the same query returns the same answer until the source changes, and caching is the difference between a sustainable integration and one that exhausts a customer's allowance on a busy page.
What can I build with the Data247 integration?
A common starting point: run lookups against their own Data247 account from inside your product. 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 Data247 integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Data247 does not change your per-connector cost. You can start free with 3 connected accounts.
Add Data247 to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.