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

Let an AI SDR turn a natural-language prompt into a running sequence with verified emails and phones for every prospect.

  • Free API key
  • No credit card
  • Run your sample

A selection of teams that run this job on Forager · plus other sales-tech platforms

  • Clay
  • Juicebox
  • Nooks
  • Amplemarket
  • Roger
  • HubSpot
  • Jeeva AI
  • Orbital

Uses POST /person_role_search/ · People search API reference

What it costs: 15 credits per mobile found · 5 credits per email found. A mobile or email lookup that returns nothing costs 0 credits. Enrichment and search are charged per request: credit pricing.

How the data flows

2 inputs → Work emails + Mobile numbers + Person enrichment + People search → 5 fields sample data
01 · Inputs
Natural-language prompt
heads of finance at Series B fintechs in Germany
Client ICP
Founders · e-commerce brands · US
02 · Forager
Work emails + Mobile numbers + Person enrichment + People search POST /person_role_search/
Match found
03 · Outputs
Sam SpecimenVP Revenue Operations · Example Inc.
role title
VP Revenue Operations
organization
Example Inc.
work email
sam@example.com
phone number
+1 (512) 555-0133
name
Sam Specimen
5 fields in the responseexample data

Steps

  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
import json, os, requests

BASE = "https://api-v2.forager.ai/api/{account_id}/datastorage"
HEADERS = {"X-API-KEY": os.environ["FORAGER_KEY"]}
body = json.load(open("request.json"))  # request fields: see the API reference

# 1. Agent translates the prompt into POST /person_role_search/ filters
# (role_title, organization_industries, person_locations)
r1 = requests.post(f"{BASE}/person_role_search/", headers=HEADERS, json=body)

# 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
Generated from the recipe stepsRequest fields: API reference

Run it yourself: People search API reference

  • Free API key
  • No credit card
  • Run your sample

Inputs and outputs

InputsOutputs
natural-language promptperson name
ICP filtersrole_title
organization
work_email
phone_number

Questions about this recipe

Where do AI SDR tools get their contact data?

This recipe uses Forager Work emails, Mobile numbers, Person enrichment and People search. Work emails: Verified work email addresses for a person at their current employer. Let an AI SDR turn a natural-language prompt into a running sequence with verified emails and phones for every prospect.

What does it cost to power an AI SDR's email and phone waterfall from a chat prompt?

Work emails: 5 credits per work email found, and a work email lookup that finds nothing costs 0 credits. Mobile numbers: 15 credits per mobile number found, and a mobile number lookup that finds nothing costs 0 credits. Person enrichment: 1 credit per request, charged whether or not data comes back. People search: people search 1 credit per request and people search: role details 1 credit per request, charged whether or not data comes back. Growth's 8,250 monthly credits cover 550 mobiles, 1,650 emails or 8,250 person enrichments, or a mix. Self-serve plans are Starter, Growth, Pro and Scale. See plans and prices

What do I need to run this recipe, and what comes back?

You send ICP filters and natural-language prompt. You get back organization, person name, phone_number and role_title, as JSON. You also need a Forager API key, which comes with a free account.

What API should an AI SDR use to find verified emails and phone numbers?

This recipe uses Forager Work emails, Mobile numbers, Person enrichment and People search. Work emails: Verified work email addresses for a person at their current employer. Let an AI SDR turn a natural-language prompt into a running sequence with verified emails and phones for every prospect.

Can I test work emails for free?

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.

When should I run this workflow?

When a rep asks the AI SDR to 'find heads of finance at Series B fintechs in Germany and start a sequence'. Reps go from prompt to a running sequence in minutes and run more efficient outbound.

Which Forager products does this recipe use?

Work emails, mobile numbers, person enrichment and people search. Work emails: verified work email addresses for a person at their current employer. Mobile numbers: direct mobile numbers for a person, from a LinkedIn URL or a Forager person ID, validated before they reach you.

How do you check data quality?

Forager ranked #1 of 10 in Clay's 2026 test of mobile data providers, by quality score: Clay's measure of how likely a dialled number reaches the right person. 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 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.

Which tools can run this workflow?

Native in Clay and Zapier, partner-built in Deepline and Cargo and called through the API from Make, n8n and your own code. Or call the endpoints in the steps above from your own code with one API key.

How many steps is this workflow?

5 steps: agent translates the prompt into POST /person_role_search/ filters (role_title, organization_industries, person_locations), use /person_role_search/totals/ to size the audience before paying for pages, 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 and report found rate per channel to the platform's waterfall router.

Do I need a subscription?

Not to test: a free account comes with $5 in credits. To keep using Forager, choose a monthly or yearly plan. Monthly plans cancel anytime and unused credits roll over; yearly plans grant all credits upfront and cost 10% less. Larger volumes are agreed with our team.

A selection of teams that run this job on Forager · 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.

  • Amplemarket
    • AI SDRs

    Selected use case: mobile numbers inside its contact waterfall.

  • Roger
    • AI SDRs

    AI outbound sales rep.

  • 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.

Start building

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