Answer account-fit research questions with firmographic and hiring data

Let an AI agent verify fit criteria (size, funding, hiring, tech) before any contact is made.

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

Free API key
No credit card
Run your sample

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

Uses POST /organization_search/, POST /job_search/ · Company enrichment API reference

What it costs: Charged per request: credit pricing.

How the data flows

2 inputs → Company enrichment + Job postings API → 3 fields sample data

01 · Inputs

Company domain

example.com

Client ICP

Founders · e-commerce brands · US

02 · Forager

Company enrichment + Job postings API POST /organization_search/

Match found

03 · Outputs

Sam SpecimenVP Revenue Operations · Example Inc.

open roles: VP Revenue Operations
name: Sam Specimen
mobile: +1 (512) 555-0133
work email: sam@example.com
company: Example Inc.

3 fields in the responseexample data

Steps

Agent calls POST /organization_search/ (domains) for employees, industry, funding and web_technologies
Agent calls POST /job_search/ (organization_ids) to check hiring evidence
Agent writes a fit verdict with cited fields
Only fit accounts proceed to contact lookup

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 calls POST /organization_search/ (domains) for employees,
# industry, funding and web_technologies
r1 = requests.post(f"{BASE}/organization_search/", headers=HEADERS, json=body)

# 2. Agent calls POST /job_search/ (organization_ids) to check hiring
# evidence
r2 = requests.post(f"{BASE}/job_search/", headers=HEADERS, json=body)

# 3. Agent writes a fit verdict with cited fields

# 4. Only fit accounts proceed to contact lookup

# 1. POST /organization_search/
curl -X POST \
  https://api-v2.forager.ai/api/{account_id}/datastorage/organization_search/ \
  -H "X-API-KEY: $FORAGER_KEY" \
  -H "Content-Type: application/json" \
  -d @request.json

# 2. POST /job_search/
curl -X POST \
  https://api-v2.forager.ai/api/{account_id}/datastorage/job_search/ \
  -H "X-API-KEY: $FORAGER_KEY" \
  -H "Content-Type: application/json" \
  -d @request.json

Generated from the recipe stepsRequest fields: API reference

Run it yourself: Company enrichment API reference

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

Free API key
No credit card
Run your sample

Inputs and outputs

Inputs	Outputs
account domain	`fit verdict`
ICP rules in natural language	`evidence fields`
	`open roles`

Questions about this recipe

How can an AI agent check whether a company fits my ICP?

Agent calls POST /organization_search/ (domains) for employees, industry, funding and web_technologies. Agent calls POST /job_search/ (organization_ids) to check hiring evidence.

What does it cost to answer account-fit research questions with firmographic and hiring data?

Company enrichment: 1 credit per request, charged whether or not data comes back. Job postings API: 2 credits 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 account domain and ICP rules in natural language. You get back evidence fields, fit verdict and open roles, as JSON. You also need a Forager API key, which comes with a free account.

Which API gives firmographics and hiring data for account research?

This recipe uses Forager Company enrichment and Job postings API. Company enrichment: Firmographics for a company from its domain or name: industry, headcount, locations, growth and open roles. Let an AI agent verify fit criteria (size, funding, hiring, tech) before any contact is made.

Can I 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.

When should I run this workflow?

When a rep or agent asks 'does this account match our ICP and why?'. Reps only contact companies with evidence of fit.

Which Forager products does this recipe use?

Company enrichment and job postings API. Company enrichment: firmographics for a company from its domain or name: industry, headcount, locations, growth and open roles. Job postings API: search live and historical job postings by company, title and location to spot hiring signals.

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.

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: agent calls POST /organization_search/ (domains) for employees, industry, funding and web_technologies, agent calls POST /job_search/ (organization_ids) to check hiring evidence, agent writes a fit verdict with cited fields and only fit accounts proceed to contact 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.

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.

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

19 typed Forager tools available inside Deepline¹
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.

Sources

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

Answer account-fit research questions with firmographic and hiring data

How the data flows

Steps

Inputs and outputs

Questions about this recipe

How can an AI agent check whether a company fits my ICP?

What does it cost to answer account-fit research questions with firmographic and hiring data?

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

Which API gives firmographics and hiring data for account research?

Can I test company enrichment for free?

When should I run this workflow?

Which Forager products does this recipe use?

How do I know the data is right?

Which tools can run this workflow?

How many steps is this workflow?

Do I need a subscription?

Can our users see Forager data in our product?

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