Reference & Lookup Data · Integration
EverString
Add EverString to your product for your customers, and give your AI agents governed access to it.
Embed an EverString integration so your customers can enrich their own records inside your product, reading company data, firmographic attributes, and predictive scores and writing the results onto the records they already keep. Enrichment reads can be large, so pagination and throttling are handled for you and backfills are rate-limited rather than exhausting a customer's allowance. fastn maintains per-tenant authorisation and API upkeep, so onboarding another account is configuration rather than code.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let customers connect their own EverString account so enrichment happens inside your product instead of a separate upload.
Enrich a company record at signup so your product has firmographic context from the first session.
Read scores and attributes per customer so your product prioritises accounts using the model the customer already trusts.
Refresh enrichment on a schedule so records in your product do not quietly go stale.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent enriches a company record before answering a question about an account.
An agent writes enriched attributes back onto a record within governed permissions, with the call logged.
An agent refreshes a batch of records on a schedule and reports what changed.
Example prompt
Enrich these accounts and list the ones whose industry or employee count no longer matches what we have on file.
Set up EverString in 4 steps
- 01Open the EverString connector from your fastn dashboard.
- 02Have each customer authenticate their own EverString account.
- 03Map the company fields and attributes your product writes back, then enable actions and triggers.
- 04Call them from your product, or expose them to an agent through the MCP server.
Why teams use the EverString integration
What you get by embedding it with fastn instead of building it yourself.
- Ship an EverString integration without building it. Your customers connect their own EverString 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 an EverString update is not your on-call problem.
- One integration serves your product and your agents. The same governed EverString 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
Clearbit
Dun & BradstreetOften used alongside
Tools the same teams tend to run next to EverString, across other categories.
Salesforce
HubSpot
Notion
SnowflakeEverString integration FAQ
How do I add an EverString integration to my product?
Enable the EverString connector in your fastn dashboard, then let each customer authenticate their own EverString account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no EverString client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own EverString account?
Yes. Every connection is scoped to the individual customer, so each authorises their own EverString 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 EverString 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 enriches a company record before answering a question about an account.
Who maintains the EverString integration?
fastn does. When EverString 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 an EverString 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 EverString results be cached?
Per tenant, with a window that matches how fast the underlying data actually moves. EverString 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 EverString integration?
A common starting point: connect their own EverString account so enrichment happens inside your product instead of a separate upload. 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 EverString integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding EverString does not change your per-connector cost. You can start free with 3 connected accounts.
Add EverString to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.