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.
- Free API key
- No credit card
- Run your sample
A selection of teams that run this job on Forager · plus other teams on Forager
Uses POST /person_detail_reverse_lookup/by_email/, POST /organization_search/ · Reverse email lookup API reference
What it costs: Charged per request: credit pricing.
- Company data feed
- People data feed
- Job postings feed
- Reverse email lookup
- Company enrichment
- Data feed
- Embedded in a platform
- Sales tech
How the data flows
POST /person_detail_reverse_lookup/by_email/ - fresh company record
- Example Inc.
- name
- Jane Example
- title
- VP Revenue Operations
- mobile
- +1 (415) 555-0142
- work email
- jane@example.com
Steps
- Load
company_feedandpeople_feeddeltas into the CRM's records store - Prefill onboarding from a sign-up's work email via
POST /person_detail_reverse_lookup/by_email/andPOST /organization_search/ - Expose records to agents as retrieval context with field-level timestamps
- Use
job_postings_feedand people changes as scoring and churn-risk signals
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 company_feed and people_feed deltas into the CRM's records store # 2. Prefill onboarding from a sign-up's work email via POST # /person_detail_reverse_lookup/by_email/ and POST /organization_search/ r1 = requests.post(f"{BASE}/person_detail_reverse_lookup/by_email/", headers=HEADERS, json=body) r2 = requests.post(f"{BASE}/organization_search/", headers=HEADERS, json=body) # 3. Expose records to agents as retrieval context with field-level # timestamps # 4. Use job_postings_feed and people changes as scoring and churn-risk # signals
# 1. POST /person_detail_reverse_lookup/by_email/ curl -X POST \ https://api-v2.forager.ai/api/{account_id}/datastorage/person_detail_reverse_lookup/by_email/ \ -H "X-API-KEY: $FORAGER_KEY" \ -H "Content-Type: application/json" \ -d @request.json # 2. 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
Run it yourself: Reverse email lookup API reference
- Free API key
- No credit card
- Run your sample
Inputs and outputs
| Inputs | Outputs |
|---|---|
| feeds | fresh company record |
| sign-up email | prefilled onboarding fields |
| CRM records | agent context |
risk signals |
Questions about this recipe
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 does it cost to ground AI CRM agents with fresh company and people records?
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. Company data feed is a flat annual licence, global or regional, not priced in credits. 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 CRM records, feeds and sign-up email. You get back agent context, fresh company record, prefilled onboarding fields and risk signals, as JSON. You also need a Forager API key, which comes with a free account.
Can I prefill a signup form from just a work email?
Keep an AI CRM's company and contact records current so its agents score inbound, prefill onboarding and flag churn risk accurately. AI CRM users get accurate inbound scoring, faster onboarding and churn-risk signals.
Is there a free way to try Forager on this workflow?
Yes. Request a sample extract of the company 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 new sign-up, inbound lead or scheduled refresh of the CRM's company universe. AI CRM users get accurate inbound scoring, faster onboarding and churn-risk signals.
Which Forager products does this recipe use?
Company data feed, people data feed, job postings feed, reverse email lookup and company enrichment. Company data feed: a licensed file of 65M+ company profiles and firmographics, delivered to Snowflake or S3 on a schedule. People data feed: a licensed file of 800M+ professional profiles, refreshed on a schedule and delivered to Snowflake or S3.
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, 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 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 and use job_postings_feed and people changes as scoring and churn-risk signals.
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.
Can we show Forager data inside 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.
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 teams on ForagerA selection of teams using Forager
-
Clay - GTM workflow builders
Selected use case: Forager mobile numbers, emails and people data inside Clay tables.
-
Juicebox - AI candidate sourcing
Selected use case: Forager data behind its PeopleGPT search and sourcing agents.
-
Nooks - Power & parallel dialers
Selected use case: mobile numbers inside their dialer.
-
Emergent Labs - Agent builders
AI app-building platform where agents design, code and deploy full-stack apps.
-
Airscale - Waterfall enrichment
Selected use case: a Forager step in its mobile number waterfall.
-
HubSpot - CRM add-ons
Selected use case: enriching contact and company records with people, company and job-posting data.
-
item - CRM add-ons
AI-native CRM where teams and agents work side by side.
-
Orbital - Lead databases
Selected use case: contact lookups in its enrichment waterfall, for teams selling to local businesses.
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