B2B data API for LLM apps
Answer people questions with licensed data, not scraped pages.
Give a product that answers people and company questions a licensed dataset to index and retrieve from, instead of calling an API per question or scraping profiles.
- $5 free credits
- 800M+ people
- 65M+ companies
A selection of LLM apps using Forager · plus other teams on Forager
LLM applications needing people data tools are judged on whether the agent reached the right person
A contact that reaches the wrong person, or nobody, is a failure your users see in your product, not ours.
- Does it connect? A number that is dead or disconnected wastes the call.
- Does the name match? A live number for someone else is worse than none.
- Is it the profile you asked about? Not a namesake, not a former owner of the number.
Seven jobs LLM apps run on Forager
-
License a people feed for retrieval over people and company records
Give a product that answers people and company questions a licensed dataset to index and retrieve from, instead of calling an API per question or scraping profiles.
See the recipe -
Ground AI CRM agents with fresh company and people records
Keep an AI CRM's company and contact records current so its agents score inbound, prefill onboarding and flag churn risk accurately.
See the recipe -
Brief users on the people they are about to meet, from an email address
Let a meeting-prep or calendar product brief its user on who they are about to meet or email: role, employer, career history and company context.
See the recipe -
Refresh contact data before an agent writes to the CRM
Let a CRM copilot or agent check that a contact's role, employer and work email are current before it creates or updates the record, so it never writes a stale email or an old title.
See the recipe -
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.
See the recipe -
Answer hiring and labor-market questions in an AI analyst from a job postings feed
Let an AI research or HR analyst answer questions such as "who is hiring data engineers in Austin" from licensed job postings, with links to the postings it used.
See the recipe -
Train title-normalisation and company-matching models on structured profiles
Give an AI or data-tools team labelled examples to train models that normalise job titles into function and seniority and match messy company names to one company.
See the recipe
Go deeper by product
-
LLM apps × Reverse email lookup
Ground AI CRM agents with fresh company and people records
See 4 recipes -
LLM apps × Company data feed
Ground AI CRM agents with fresh company and people records
See 4 recipes -
LLM apps × Company enrichment
Ground AI CRM agents with fresh company and people records
See 3 recipes -
LLM apps × People data feed
Ground AI CRM agents with fresh company and people records
See 3 recipes -
LLM apps × Person enrichment
Brief users on the people they are about to meet, from an email address
See 2 recipes -
LLM apps × Job postings feed
Ground AI CRM agents with fresh company and people records
See 2 recipes
A selection of LLM apps using Forager · plus other teams on ForagerA selection of LLM apps using 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.
-
Nooks - Power & parallel dialers
Selected use case: mobile numbers inside their dialer.
-
Andela
- Customer
Selected use case: Forager data for the go-to-market team at a global talent marketplace.
-
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.
-
Airscale
- Waterfall enrichment
Selected use case: a Forager step in its mobile number waterfall.
-
SeekOut
- Talent intelligence
Selected use case: Forager’s people data feed, used to keep candidate profiles current.
2–3 years on the Forager people data feed, by SeekOut’s own account1
Sources
1 SeekOut: SeekOut, customer interview, Sep 2026.
“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.”
Questions LLM apps teams ask
What data does Forager provide for LLM apps?
Forager is a B2B data API and data feed for people, companies and jobs, covering 800M+ people and 65M+ companies. LLM apps use reverse email lookup, company data feed, company enrichment and people data feed most, by API or data feed. Products like yours are judged on whether the agent reached the right person, so every result is about reaching the right person.
Where can an AI product license people and company records for retrieval?
The workflow uses Forager People data feed and Company data feed. People data feed: A licensed file of 800M+ professional profiles, refreshed on a schedule and delivered to Snowflake or S3. Give a product that answers people and company questions a licensed dataset to index and retrieve from, instead of calling an API per question or scraping profiles.
How much does Forager cost for LLM apps?
Every product draws on one credit balance. 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 1,650 emails or 8,250 company lookups, or a mix. Self-serve plans are Starter, Growth, Pro and Scale. See plans and prices
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 contacts to your users, or passing records on, is licensed separately: talk to sales about volume and which fields your users need to see.
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.
Can LLM apps 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.
Which Forager products do LLM apps use most?
Reverse email lookup (4 recipes), company data feed (4 recipes), company enrichment (3 recipes) and people data feed (3 recipes), counted across the recipes on this page. Every product draws on one credit balance, so you can mix them on one plan.
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.
Which tools does Forager work with for LLM apps?
Native in Clay and Zapier, partner-built in Deepline and Cargo, delivered as a data share to Snowflake, Databricks and Amazon S3 and called through the API from Make, n8n, your own code and Google BigQuery. Everything else connects through the REST API with one API key.
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/.
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.
Should LLM apps call the API or license a data feed?
Call the API when your product needs one person or company at a time, when a user opens a record or an agent asks. License a feed when you need whole layers (people, companies or job postings) in your own warehouse or index. Contact fields (mobiles and emails) stay in the API, paid per result found.
Written answers are not available right now. The matching pages above still help, or book a demo and ask the team.
- $5 free credits
- No credit card
- Run your sample
Other AI SDRs & agent builders segments
What will you build next?
Recipes that run on the same data, or your own workflow on a sample of your records.
-
Enrich CRM accounts with firmographics inside a BI or warehouse pipeline
Same data: Company data feed, Company enrichment
See the recipe -
Build natural-language candidate search on a licensed people feed
Same data: Company data feed, People data feed
See the recipe -
Make your own
Send us your workflow and a sample of records. We run it and show you what we find.
Get a sample run