AI SDRs and agent builders · LLM applications needing people data

Company enrichment API for LLM apps

Complete company records.

What LLM apps need from company enrichment, what Forager returns, and how teams like yours test it.

3 recipes use company enrichment for LLM applications needing people data.

Get $5 of free data Get a sample run

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

In your AI assistant

Question · who runs sales?

Jordan ExampleVP Sales

Priya ExampleCEO

Sam ExampleCRO

Alex ExampleHead of RevOps

Forager

Match the companyAdd firmographicsAdd growth and hiring

AnswerExample

Jordan ExampleVP Sales · Example Co

Example Co · 120 staff Company

Headcount up this year Growing

3 open roles Hiring

Matched

Built for answers from licensed data

A selection of LLM apps using Forager for company enrichment · plus other teams on Forager

For LLM applications needing people data

The job: Keep an AI CRM's company and contact records current so its agents score inbound, prefill onboarding and flag churn risk accurately.
When: A new sign-up, inbound lead or scheduled refresh of the CRM's company universe.
Outcome: AI CRM users get accurate inbound scoring, faster onboarding and churn-risk signals.

Lead recipe 1

Ground AI CRM agents with fresh company and people records

When to use it: A new sign-up, inbound lead or scheduled refresh of the CRM's company universe.

Load company_feed and people_feed deltas into the CRM's records store
Prefill onboarding from a sign-up's work email via POST /person_detail_reverse_lookup/by_email/ and POST /organization_search/
Expose records to agents as retrieval context with field-level timestamps
Use job_postings_feed and people changes as scoring and churn-risk signals

Inputs	Outputs
feeds	`fresh company record`
sign-up email	`prefilled onboarding fields`
CRM records	`agent context`
	`risk signals`

Lead recipe 2

Brief users on the people they are about to meet, from an email address

When to use it: A calendar invite, new email thread or new contact appears in the user's account.

Show the steps

Resolve each new email address with POST /person_detail_reverse_lookup/by_email/
Pull full career history with POST /person_detail_lookup/
Add company context (industry, size, location) with POST /organization_search/
Write a short pre-meeting brief in your product and cache it against the contact

Inputs	Outputs
email address	`person profile`
calendar attendee	`role_title`
name + company	`employer`
	`company summary`

Open the recipe: Brief users on the people they are about to meet, from an email address

Lead recipe 3

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

When to use it: 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.

Show the 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
Skip personal-domain emails and consumer sign-ups before the lookup, so you pay only for business identities

Inputs	Outputs
email address	`full name`
email domain	`title`
	`company`
	`industry`
	`headcount`
	`person_id`

Open the recipe: Resolve a sign-up email to a person inside a copilot

Fields

Fields you get back

fresh company record
prefilled onboarding fields
agent context
risk signals
person profile
role_title
employer
company summary
full name
title
company
industry
headcount
person_id

From the workflows above. Full field reference: Company enrichment and the Company enrichment API reference.

Who owns this

Who evaluates company enrichment at LLM applications needing people data, 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 LLM apps using Forager for company enrichment · 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.
Coram
- Internal use
Selected use case: mobile numbers for outbound calling.
Bitscale
- GTM workflow builders
Selected use case: Forager in its contact waterfall for mobile numbers.
Orbital
- Lead databases
Selected use case: contact lookups in its enrichment waterfall, for teams selling to local businesses.
Enterpret
- Internal use
AI customer-intelligence platform.
Popl
- Waterfall enrichment
AI event lead-capture platform with an enrichment waterfall behind its badge scanner.

“Forager leads in accuracy across all regions, Forager's dual strength in accuracy and volume makes it a powerhouse for sales teams that are targeting businesses around the globe.”

ClayStefan K.Data Partnerships

800M+people

65M+companies

How to test it

Test company enrichment on your own sample

Pull a sample. Take profiles your users looked up last week.
Run it. Use a self-serve key, or book a demo and send us the list.
Measure what your users feel. Connect rate for mobiles, bounces for emails, and whether the right person answers.

Get a free API key + $5 Get a sample run

$5 free credits
No credit card
Run your sample

FAQ

Frequently asked questions

How do LLM apps use Forager company enrichment?

Keep an AI CRM's company and contact records current so its agents score inbound, prefill onboarding and flag churn risk accurately. Firmographics for a company from its domain or name: industry, headcount, locations, growth and open roles. This page walks through 3 workflows with the exact steps.

What does company enrichment cost for LLM apps?

Company enrichment: 1 credit per request, charged whether or not data comes back. 1,000 company lookups use 1,000 credits: about $13 of Starter credits month to month, or about $10 on Pro with yearly billing. Self-serve plans are Starter, Growth, Pro and Scale. See plans and prices

Why do LLM apps add company enrichment?

Answer people questions with licensed data, not scraped pages. Products like yours are judged on whether the agent reached the right person, which is why the cost that counts is per result that reaches the right person. Run your own sample to see what company enrichment returns for your users before you build on it.

How do AI CRMs keep company data fresh for their agents?

Load company_feed and people_feed deltas into the CRM's records store. Expose records to agents as retrieval context with field-level timestamps.

What inputs does it take and what does it return?

You send company domain, email address and name + company. You get back industry, company, headcount and agent context, from POST /organization_search/, as JSON.

Can our users see Forager data in our product?

Yes, under platform terms. Self-serve plans cover internal use by your own team. Showing Forager data 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 nothing is found?

Yes. Company enrichment is charged per request, whether or not data comes back. Only mobile and email lookups are free when nothing is found, so try your inputs on a small run before you scale.

Can LLM apps test company enrichment 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.

How do I enrich calendar attendees with job title?

Resolve each new email address with POST /person_detail_reverse_lookup/by_email/. Pull full career history with POST /person_detail_lookup/.

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 company enrichment API different from a company database export?

An export is a snapshot you have to refresh yourself. A company enrichment API returns firmographics for a domain or name when you ask: industry, headcount, locations, growth and open roles, ready to write to the record.

Where can I use Forager company enrichment?

Native in Clay, 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.