Local Market Intelligence Scout
Researches a single residential real estate market each run — pulling active inventory, median sale price, days on market, list-to-sale ratio, new listings, and months of supply from public portals; layering buyer/seller sentiment from Reddit; and reconciling against historical snapshots stored in the agent's database. Synthesizes findings into a confident, data-driven briefing, writes it to a Google Doc, logs the run, and emails a recipient with a scannable summary plus the doc link.
Agent snapshot
Built for real estate work, not a generic template.
97
template uses
165
catalog views
4
integrations used
2
labels matched
Sample input
Build an agent to local Market Intelligence Scout. Use Gmail, Follow Up Boss, Realtor, and Notion. Focus on research topic. Return a ready-to-review result after each run.
Sample output
Every Monday morning, scrapes MLS portals, Reddit, and web sources for your market, compares against the prior 30 days of snapshots, and emails a structured briefing with a linked Google Doc.
Workflow brief
Where Local Market Intelligence Scout fits in a real estate automation system
Local Market Intelligence Scout is designed for a specific recurring job: researches a single residential real estate market each run — pulling active inventory, median sale price, days on market, list-to-sale ratio, new listings, and months of supply from public portals; layering buyer/seller sentiment from Reddit; and reconciling against historical snapshots stored in the agent's database. Synthesizes findings into a confident, data-driven briefing, writes it to a Google Doc, logs the run, and emails a recipient with a scannable summary plus the doc link. 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 Gmail, Follow Up Boss, Realtor, and Notion 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 6 concrete steps from the published agent data.
Load the last five market snapshots and the covered-topics list from the agent database
Scrape Realtor.com or equivalent portals for inventory, median price, DOM, list-to-sale ratio, new listings, and months of supply
Pull Reddit threads for the metro and adjacent communities, then fall back to Web Search if the scrape returns zero results
Run targeted Web Search queries for the freshest official MLS/board statistics for the current month
Synthesize all signals with Twin AI in the requested brand voice and write a structured briefing to Google Docs
Email the recipient a scannable HTML summary plus the doc link, then insert the new snapshot and report log rows
Integrations used
Local Market Intelligence Scout connects Gmail, Follow Up Boss, Realtor, and Notion.
Gmail
Connected in this agent
Follow Up Boss
Connected in this agent
Realtor
Connected in this agent
Notion
Connected in this agent
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Start from the exact agent behind this page, then adapt the prompt, apps, and review steps to your real estate workflow.
Plans start at €20/mo