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Resolve a sign-up email to a person inside a copilot

Let an in-product copilot turn a new sign-up or inbound email into the person and company behind it, so it can route, qualify or personalise its first reply.

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

A selection of teams that run this job on Forager · plus other teams on Forager

  • Clay
  • Emergent Labs
  • HubSpot
  • Deepline
  • Cargo
  • Freckle
  • FirstTouch
  • item

Uses POST /person_detail_reverse_lookup/by_email/, POST /organization_search/ · Reverse email lookup API reference

What it costs: Charged per request: credit pricing.

How the data flows

2 inputs → Reverse email lookup + Company enrichment → 6 fields sample data
01 · Inputs
Work email
alex@example.com
Work email
alex@example.com
02 · Forager
Reverse email lookup + Company enrichment POST /person_detail_reverse_lookup/by_email/
Match found
03 · Outputs
Alex SampleVP Revenue Operations · Example Inc.
title
VP Revenue Operations
company
Example Inc.
industry
Software
headcount
120
person id
per_8f3a1c
name
Alex Sample
6 fields in the responseexample data

Steps

  1. Call POST /person_detail_reverse_lookup/by_email/ with the sign-up email
  2. Call POST /organization_search/ with the email domain for company size and industry
  3. Give the copilot the name, title, company and firmographics as fields it can reason over
  4. Skip personal-domain emails and consumer sign-ups before the lookup, so you pay only for business identities
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. Call POST /person_detail_reverse_lookup/by_email/ with the sign-up
# email
r1 = requests.post(f"{BASE}/person_detail_reverse_lookup/by_email/", headers=HEADERS, json=body)

# 2. Call POST /organization_search/ with the email domain for company size
# and industry
r2 = requests.post(f"{BASE}/organization_search/", headers=HEADERS, json=body)

# 3. Give the copilot the name, title, company and firmographics as fields
# it can reason over

# 4. Skip personal-domain emails and consumer sign-ups before the lookup, so
# you pay only for business identities
Generated from the recipe stepsRequest fields: API reference

Run it yourself: Reverse email lookup API reference

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

Inputs and outputs

InputsOutputs
email addressfull name
email domaintitle
company
industry
headcount
person_id

Questions about this recipe

How can my copilot find out who is behind a sign-up email?

Call POST /person_detail_reverse_lookup/by_email/ with the sign-up email. Skip personal-domain emails and consumer sign-ups before the lookup, so you pay only for business identities.

What does it cost to resolve a sign-up email to a person inside a copilot?

Reverse email lookup: 5 credits per request, charged whether or not data comes back. Company enrichment: 1 credit per request, charged whether or not data comes back. Growth's 8,250 monthly credits cover 8,250 company lookups, 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 email address and email domain. You get back company, full name, headcount and industry, as JSON. You also need a Forager API key, which comes with a free account.

Which API returns a person and company from an email address?

This recipe uses Forager Reverse email lookup and Company enrichment. Reverse email lookup: Turn an email address into a full person profile: name, title, company, location and social links. Let an in-product copilot turn a new sign-up or inbound email into the person and company behind it, so it can route, qualify or personalise its first reply.

Can I test reverse email lookup 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 new sign-up arrives with only a work email, and the copilot has to decide whether to reply, route it to sales or ignore it. The copilot knows who signed up before it answers, and the platform pays per identity found rather than per sign-up.

Which Forager products does this recipe use?

Reverse email lookup and company enrichment. Reverse email lookup: turn an email address into a full person profile: name, title, company, location and social links. Company enrichment: firmographics for a company from its domain or name: industry, headcount, locations, growth and open roles.

How do I know the data is right?

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 do I enrich inbound lead inside AI assistant?

Call POST /person_detail_reverse_lookup/by_email/ with the sign-up email. Call POST /organization_search/ with the email domain for company size and industry.

Which tools can run this workflow?

Native in Clay, 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?

4 steps: call POST /person_detail_reverse_lookup/by_email/ with the sign-up email, call POST /organization_search/ with the email domain for company size and industry, give the copilot the name, title, company and firmographics as fields it can reason over and skip personal-domain emails and consumer sign-ups before the lookup, so you pay only for business identities.

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 teams on Forager

  • Clay
    • GTM workflow builders

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

  • Emergent Labs
    • Agent builders

    AI app-building platform where agents design, code and deploy full-stack apps.

  • HubSpot
    • CRM add-ons

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

  • Deepline
    • Waterfall enrichment

    Selected use case: Forager lookups as typed tools inside enrichment waterfalls.

    19 typed Forager tools available inside Deepline1

  • Cargo
    • GTM workflow builders

    Selected use case: enrichment plays that use Forager from its integrations catalog.

  • Freckle
    • GTM workflow builders

    Selected use case: Forager as a selectable mobile number provider in its waterfalls.

  • FirstTouch
    • Sales engagement

    LinkedIn outreach and social-selling platform that works from HubSpot, AI agents and its API.

  • item
    • CRM add-ons

    AI-native CRM where teams and agents work side by side.

Sources

1 Deepline: deepline.com/integrations/forager (public page, read 2026-10-21).

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