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Sales-tech & GTM platforms · Autonomous or AI-assisted SDR products

Work email API for AI SDR products

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What AI SDRs need from work emails, what Forager returns, and how teams like yours test it.

6 recipes use work emails for autonomous or AI-assisted SDR products.

  • $5 free credits
  • 800M+ people
  • 65M+ companies

A selection of AI SDRs using Forager for work emails · plus other sales-tech platforms

  • Clay
  • Juicebox
  • Nooks
  • Roger
  • Amplemarket
  • HubSpot
  • Jeeva AI
  • Orbital
For autonomous or AI-assisted SDR products
The job
Let an AI SDR turn a natural-language prompt into a running sequence with verified emails and phones for every prospect.
When
A rep asks the AI SDR to 'find heads of finance at Series B fintechs in Germany and start a sequence'.
Outcome
Reps go from prompt to a running sequence in minutes and run more efficient outbound.
Lead recipe 1

Power an AI SDR's email and phone waterfall from a chat prompt

When to use it: A rep asks the AI SDR to 'find heads of finance at Series B fintechs in Germany and start a sequence'.

  1. Agent translates the prompt into POST /person_role_search/ filters (role_title, organization_industries, person_locations)
  2. Use /person_role_search/totals/ to size the audience before paying for pages
  3. Enrich each result with /person_contacts_lookup/work_emails/ and /phone_numbers/
  4. Drop contacts without a verified channel and write the rest to the sequence
  5. Report found rate per channel to the platform's waterfall router
InputsOutputs
natural-language promptperson name
ICP filtersrole_title
organization
work_email
phone_number
Lead recipe 2

Source a role-tagged buying committee for every target account

When to use it: An account is marked target or an opportunity is created with a single contact.

Show the steps
  1. Call POST /person_role_search/ with organization_domains and role_title groups per committee role
  2. Tag each result with a committee role from role_title and seniority
  3. Enrich with /work_emails/ and /phone_numbers/
  4. Write contacts to the CRM opportunity with role tags and push to the agent's sequence
InputsOutputs
account domaincommittee role tag
committee role definitionsperson name
role_title
work_email
phone_number
Open the recipe: Source a role-tagged buying committee for every target account
Lead recipe 3

Qualify PLG sign-ups and route enterprise accounts to sales

When to use it: A user activates a free workspace or crosses a usage threshold.

Show the steps
  1. Resolve the sign-up with POST /person_detail_reverse_lookup/by_email/ when the address is personal; otherwise use the work domain
  2. Score the employer with POST /organization_search/ (employees_start, industries, funding_types)
  3. For accounts above threshold, find decision makers with POST /person_role_search/ (organization_domains, role_title)
  4. Add work emails and create a routed task for the BDR with the user's product activity
InputsOutputs
sign-up emailfit score
product usage eventsorganization employees/industry
decision-maker contacts
work_email
Open the recipe: Qualify PLG sign-ups and route enterprise accounts to sales
Fields

Fields you get back

  • person name
  • role_title
  • organization
  • work_email
  • phone_number
  • committee role tag
  • fit score
  • organization employees/industry
  • decision-maker contacts

From the workflows above. Full field reference: Work emails and the Work emails API reference.

Who owns this

Who evaluates work emails at autonomous or AI-assisted SDR products, and what they are judged on

  • Product manager who owns the enrichment feature: judged on what users see when they open a record
  • Engineering lead integrating the API: judged on response time and errors they can route on
  • Partnerships or data lead managing vendors: judged on cost per valid result

A selection of AI SDRs using Forager for work emails · plus other sales-tech platforms

  • Clay
    • GTM workflow builders

    Selected use case: Forager mobile numbers, emails and people data inside Clay tables.

  • Juicebox
    • AI candidate sourcing

    Selected use case: Forager data behind its PeopleGPT search and sourcing agents.

  • Nooks
    • Power & parallel dialers

    Selected use case: mobile numbers inside their dialer.

  • Roger
    • AI SDRs

    AI outbound sales rep.

  • Amplemarket
    • AI SDRs

    Selected use case: mobile numbers inside its contact waterfall.

  • HubSpot
    • CRM add-ons

    Selected use case: enriching contact and company records with people, company and job-posting data.

  • Jeeva AI
    • AI SDRs

    Agentic platform of AI digital workers for sales teams.

  • Orbital
    • Lead databases

    Selected use case: contact lookups in its enrichment waterfall, for teams selling to local businesses.

“We use Forager to enrich our contact data with email addresses and mobile phone numbers. After analyzing all the data providers we use, we found Forager to deliver the best overall data quality.”
AndelaRyley L.Growth Marketing Associate
800M+people
65M+companies
How to test it

Test work emails on your own sample

  1. Pull a sample. Take profiles your users looked up last week.
  2. Run it. Use a self-serve key, or book a demo and send us the list.
  3. Measure what your users feel. Connect rate for mobiles, bounces for emails, and whether the right person answers.
  • $5 free credits
  • No credit card
  • Pay per result
FAQ

Frequently asked questions

How do AI SDR products use Forager work emails?

Let an AI SDR turn a natural-language prompt into a running sequence with verified emails and phones for every prospect. Verified work email addresses for a person at their current employer. This page walks through 3 workflows with the exact steps.

What do work emails cost for AI SDR products?

Work emails: 5 credits per work email found, and a work email lookup that finds nothing costs 0 credits. That is $0.07 per work email on Starter month to month and $0.05 on Pro with yearly billing. Self-serve plans are Starter, Growth, Pro and Scale. See plans and prices

Why do AI SDR products add work emails?

Give your AI SDR verified mobiles and emails before it dials or writes. Products like yours are judged on connect rate and cost per valid result, which is why the cost that counts is per result that reaches the right person. Run your own sample to see what work emails returns for your users before you build on it.

How AI SDR tools find verified emails?

Enrich each result with /person_contacts_lookup/work_emails/ and /phone_numbers/. Drop contacts without a verified channel and write the rest to the sequence.

What do I send, and what comes back?

You send persona titles, LinkedIn URL and account domain. You get back work_email, phone_number, role_title and person name, from POST /person_contacts_lookup/work_emails/, as JSON.

Can we show Forager data inside our product?

Yes, under platform terms. Self-serve plans cover internal use by your own team. Showing Forager contacts to your users, or passing records on, is licensed separately: talk to sales about volume and which fields your users need to see.

Am I charged when no work email is found?

No. A work email lookup that finds nothing costs 0 credits, so you pay for work emails we find. Search, enrichment and reverse lookups are the exception: they are charged per request.

Is there a free way to try Forager?

Yes. Create a free account at app.forager.ai: it comes with $5 in free credits and an API key, and there is no credit card to sign up. Run it on records you already know, or book a demo and send us a list: we run it and show you what we find.

How do I find buying committee contacts at target account?

Call POST /person_role_search/ with organization_domains and role_title groups per committee role. Tag each result with a committee role from role_title and seniority.

How do you check data quality?

The test that counts is your own: send a list of profiles you care about. We run it and show you what we find, number by number, so you can measure hit rate and connect rate yourself.

How is a work email finder different from guessing the email pattern?

A pattern guess (first.last@company.com) gives you an address that may not exist or may belong to someone who left. A work email lookup returns the address for that person at their current employer, and with Forager a work email lookup that finds nothing costs 0 credits.

Does Forager integrate with the tools we already use?

Native in Clay and Zapier, partner-built in Deepline and Cargo and called through the API from Make, n8n and your own code. Everything else connects through the REST API with one API key.

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More recipes

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Put people, company and job data your users can act on inside your product

Send us a list. We run it, show you what we find, then talk volume and terms.

  • $5 free credits
  • No credit card
  • Run your sample
Platforms and teams that build on Forager
  • Clay
  • Juicebox
  • Nooks
  • Andela
  • HubSpot
  • SeekOut