Predict warm-intro paths from overlapping work history
Find colleagues, investors or customers who previously worked alongside a target buyer so reps can ask for an intro.
- 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 /person_detail_lookup/ · Person enrichment API reference
What it costs: Charged per request: credit pricing.
- People data feed
- Person enrichment
- Data feed
- Embedded in a platform
- Sales tech
How the data flows
POST /person_detail_lookup/ - shared organization
- Example Inc.
- overlap dates
- 2026-10-01
- strength score
- 0.96
- name
- Lee Sampler
- title
- VP Revenue Operations
- mobile
- +1 (312) 555-0107
Steps
- Load team members' and network members' work histories from the people feed
- Load target buyers' histories via
POST /person_detail_lookup/ - Compute overlaps on organization and overlapping role dates
- Rank intro paths by overlap length and seniority and surface them in CRM
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. Load team members' and network members' work histories from the people # feed # 2. Load target buyers' histories via POST /person_detail_lookup/ r1 = requests.post(f"{BASE}/person_detail_lookup/", headers=HEADERS, json=body) # 3. Compute overlaps on organization and overlapping role dates # 4. Rank intro paths by overlap length and seniority and surface them in # CRM
# 1. POST /person_detail_lookup/ curl -X POST \ https://api-v2.forager.ai/api/{account_id}/datastorage/person_detail_lookup/ \ -H "X-API-KEY: $FORAGER_KEY" \ -H "Content-Type: application/json" \ -d @request.json
Run it yourself: Person enrichment API reference
- Free API key
- No credit card
- Run your sample
Inputs and outputs
| Inputs | Outputs |
|---|---|
| team/network member list | intro path |
| target buyer list | shared organization |
overlap dates | |
strength score |
Questions about this recipe
How can I find warm introduction paths to a target buyer?
Load target buyers' histories via POST /person_detail_lookup/. Rank intro paths by overlap length and seniority and surface them in CRM.
What does it cost to predict warm-intro paths from overlapping work history?
Person enrichment: 1 credit per request, charged whether or not data comes back. People data feed is a flat annual licence, global or regional, not priced in credits. Growth's 8,250 monthly credits cover 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 target buyer list and team/network member list. You get back intro path, overlap dates, shared organization and strength score, as JSON. You also need a Forager API key, which comes with a free account.
Is there data that shows who used to work with a prospect?
This recipe uses Forager People data feed and Person enrichment. People data feed: A licensed file of 800M+ professional profiles, refreshed on a schedule and delivered to Snowflake or S3. Find colleagues, investors or customers who previously worked alongside a target buyer so reps can ask for an intro.
Is there a free way to try Forager on this workflow?
Yes. Request a sample extract of the people data feed on a 30-minute call and check the fields against your own records before you license it.
When should I run this workflow?
When a rep targets an account with no existing relationship. Reps book meetings through trusted intros instead of cold email.
Which Forager products does this recipe use?
People data feed and person enrichment. People data feed: a licensed file of 800M+ professional profiles, refreshed on a schedule and delivered to Snowflake or S3. Person enrichment: a full professional profile for a person from a LinkedIn URL, email or phone: experience, education, skills and contact channels.
How accurate is Forager data?
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 find warm intro paths to prospects?
Load team members' and network members' work histories from the people feed. Rank intro paths by overlap length and seniority and surface them in CRM.
Which tools can run this workflow?
Native in Clay, partner-built in Deepline and Cargo, delivered as a data share to Snowflake, Databricks and Amazon S3 and called through the API from Google BigQuery, 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: load team members' and network members' work histories from the people feed, load target buyers' histories via POST /person_detail_lookup/, compute overlaps on organization and overlapping role dates and rank intro paths by overlap length and seniority and surface them in CRM.
Is there a contract or minimum commitment?
No contract to start: 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.
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
A selection of teams that run this job on Forager · plus other sales-tech platformsA selection of teams using Forager
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Clay - GTM workflow builders
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Juicebox - AI candidate sourcing
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Nooks - Power & parallel dialers
Selected use case: mobile numbers inside their dialer.
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Vieu - ABM & intent
Relationship-mapping platform that helps sales teams and AI agents find warm introductions.
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Adzact - ABM & intent
B2B advertising platform that models ideal buyers from business signals.
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HubSpot - CRM add-ons
Selected use case: enriching contact and company records with people, company and job-posting data.
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Cortex Intelligence - ABM & intent
GTM intelligence platform for account research and outbound.
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Epoch - ABM & intent
B2B event marketing platform.
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