Wholesaler Deal Underwriter
An on-demand underwriting agent for real estate wholesalers and investors. Give it a subject address and asking price; it pulls recent sold and active comps from Realtor.com inside a configurable radius and lookback window, builds an ARV, rehab budget, max allowable offer using the 70% rule, and a rental cashflow scenario. It writes a Google Doc deal sheet, a Google Sheets analysis workbook, and a PDF one-pager, dedupes against prior runs on the same address in the Agent Database, and emails you the links the moment they are ready.
Agent snapshot
Built for real estate work, not a generic template.
5
template uses
12
catalog views
4
integrations used
2
labels matched
Sample input
Build an agent to wholesaler Deal Underwriter. Use Realtor, Google Docs, Google Sheets, and Follow Up Boss. Focus on operations. Return a ready-to-review result after each run.
Sample output
On demand, takes a property address and asking price, pulls comps from Realtor.com, runs ARV, rehab, the 70% rule, and rental math, then delivers a Google Doc, Sheets workbook, and PDF to your inbox.
Workflow brief
Where Wholesaler Deal Underwriter fits in a real estate automation system
Wholesaler Deal Underwriter is designed for a specific recurring job: an on-demand underwriting agent for real estate wholesalers and investors. Give it a subject address and asking price; it pulls recent sold and active comps from Realtor.com inside a configurable radius and lookback window, builds an ARV, rehab budget, max allowable offer using the 70% rule, and a rental cashflow scenario. It writes a Google Doc deal sheet, a Google Sheets analysis workbook, and a PDF one-pager, dedupes against prior runs on the same address in the Agent Database, and emails you the links the moment they are ready. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.
A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.
In this setup Twin uses Realtor, Google Docs, Google Sheets, and Follow Up Boss as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.
What this agent automates
This run includes 7 concrete steps from the published agent data.
User submits a property address and asking price; agent validates the address and parses unit/lot details
Agent scrapes the comp data source for 3-6 sold comps in the last 6 months within 0.5 miles, plus active listings, with bed/bath/sqft filters
Agent computes ARV, rehab budget by rehab level, MAO via the selected offer rule, rental income estimate, and key investor metrics
Agent dedupes against prior runs of the same address in the Agent Database; if a recent package exists it asks whether to refresh or reuse
Agent writes a Google Doc deal sheet, a Google Sheets workbook with the math, and a Slides-rendered PDF one-pager to the connected destinations
Agent emails the recipient the three links plus a one-paragraph deal summary and the headline numbers
Integrations used
Wholesaler Deal Underwriter connects Realtor, Google Docs, Google Sheets, and Follow Up Boss.
Realtor
Connected in this agent
Google Docs
Connected in this agent
Google Sheets
Connected in this agent
Follow Up Boss
Connected in this agent
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Plans start at €20/mo