Reference & Lookup Data · Integration
Enrichley
Add Enrichley to your product for your customers, and give your AI agents governed access to it.
Enrichley is a prospecting data API for finding lookalike companies from a seed domain and then resolving decision makers with verified email addresses at those companies. The API sits behind an AWS API Gateway at api.enrichley.io and rejects unauthenticated calls with a missing authentication token error rather than a plain 401, so a wrong or absent header can look like a routing problem instead of an auth failure. The unit of work is a lookup rather than a stored record: you supply a company domain or a set of filters and receive matched companies and contacts, so there is nothing to write back and no object that persists on their side for you to update. Contacts come with a verification state, which matters because charging a credit for an unverified address is the usual complaint against this class of tool. Usage is credit based per lookup across the plan tiers, so the sensible pattern is to cache results in your own store rather than re-query the same domain. fastn holds each customer's Enrichley credential so lookups draw on their credits, and keeps the connection maintained.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let a customer connect their own Enrichley account so prospecting credits come from their plan.
Generate a lookalike company list from a customer's best accounts and load it into your own pipeline.
Resolve decision makers at a target company and attach them to the account record in your product.
Show the email verification state on each contact so a customer can filter before they send.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
Let an agent build a target account list from a seed domain and hand it over for review, with credit use audited per tenant.
Have an agent find decision makers for a named company and report only verified addresses.
Allow an agent to check whether a company already exists in your store before spending a lookup credit.
Example prompt
Find companies similar to this customer and the heads of operations at each one.
Set up Enrichley in 4 steps
- 01Enable the Enrichley connector from your fastn dashboard.
- 02Have each customer authorise their own Enrichley account, so calls run under their credentials rather than a shared key.
- 03Decide which lookups, results and reports your product needs, map those fields, then enable the actions and triggers you want.
- 04Call it from your product and expose it to your agents through the same governed connection.
Why teams use the Enrichley integration
What you get by embedding it with fastn instead of building it yourself.
- Ship an Enrichley integration without building it. Your customers connect their own Enrichley 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 Enrichley update is not your on-call problem.
- One integration serves your product and your agents. The same governed Enrichley 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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SnowflakeEnrichley integration FAQ
How do I add an Enrichley integration to my product?
Enable the Enrichley connector in your fastn dashboard, then let each customer authenticate their own Enrichley account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Enrichley client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Enrichley account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Enrichley 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 Enrichley integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. Let an agent build a target account list from a seed domain and hand it over for review, with credit use audited per tenant.
Who maintains the Enrichley integration?
fastn does. When Enrichley 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 Enrichley 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 Enrichley results be cached?
Per tenant, with a window that matches how fast the underlying data actually moves. Enrichley 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 Enrichley integration?
A common starting point: let a customer connect their own Enrichley account so prospecting credits come from their plan. 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 Enrichley integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Enrichley does not change your per-connector cost. You can start free with 3 connected accounts.
Add Enrichley to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.