Reference & Lookup Data · Integration
Hunter
Add Hunter to your product for your customers, and give your AI agents governed access to it.
Embed a Hunter integration so your customers can enrich and verify contact data from inside your product using their own Hunter account and their own request allowance. Every lookup runs per tenant, so one customer's usage never draws down another's credits, and results map into your own fields as configuration rather than code. fastn handles per-customer credentials, rate limiting, and API upkeep.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let customers verify an email address inside your product before it is saved or messaged.
Run a domain search so users can find the contacts your product needs without leaving it.
Enrich a record on creation using the customer's own Hunter account and credit allowance.
Throttle and batch verification on a first import so a bulk check 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 verifies an address before drafting outreach, so a bad send is caught first.
An agent looks up contacts at a domain to ground a research answer in fresh data.
An agent enriches a newly created record within governed permissions, with each lookup logged.
Example prompt
Verify the email addresses on the leads added this week and list the ones that come back undeliverable.
Set up Hunter in 4 steps
- 01Open the Hunter connector from your fastn dashboard.
- 02Have each customer authenticate their own Hunter account.
- 03Map the lookup and verification results to your fields, then enable actions and triggers.
- 04Call them from your product, or expose them to an agent through the MCP server.
Why teams use the Hunter integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a Hunter integration without building it. Your customers connect their own Hunter 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 Hunter update is not your on-call problem.
- One integration serves your product and your agents. The same governed Hunter 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.
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Hunter integration FAQ
How do I add a Hunter integration to my product?
Enable the Hunter connector in your fastn dashboard, then let each customer authenticate their own Hunter account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Hunter client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Hunter account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Hunter 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 Hunter 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 verifies an address before drafting outreach, so a bad send is caught first.
Who maintains the Hunter integration?
fastn does. When Hunter 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 Hunter 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 Hunter results be cached?
Per tenant, with a window that matches how fast the underlying data actually moves. Hunter 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 Hunter integration?
A common starting point: verify an email address inside your product before it is saved or messaged. 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 Hunter integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Hunter does not change your per-connector cost. You can start free with 3 connected accounts.
Add Hunter to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.