realtorweekly

How do I produce a hyper-local market update for the agent's farm area to post and email to the database

the agent that answers this

weekly neighborhood market report. produce a hyper-local market update for the agent's farm area to post and email to the database.

Updated Jun 3v3

Cost: Free; on your own plan
Runs: weekly; on a schedule
Built from: 4 steps; 3 verified skills
Runs in: Claude or Codex; as you

what you get

a branded market snapshot: new/sold/pending counts, median price and days-on-market trend, a plain-english takeaway, and a social caption.

report_sentseller_leads

example result

illustrative

A finished weekly run delivers: a branded market snapshot: new/sold/pending counts, median price and days-on-market trend, a plain-english takeaway, and a social caption. Each run captures: report_sent, seller_leads.

Example output, to show the shape of the deliverable. It has not run on your data. Build the agent to get this on yours.

the steps

4 steps · 3 from verified skills

Step 1tool
pull weekly sold, pending, new, and price-change stats for a farm neighborhood
Pulls the week's sold, pending, new, and price-change counts for your farm neighborhood. Connect the MLS to automate it, or export and paste the stats.
--- name: paragon-mls description: "Fetch real estate listings from Paragon MLS (paragonrels.com / fnimls.com) APIs and perform four-square rental property analysis. Use when: (1) looking up MLS property details by MLS number or listing…
Full skill: Paragon MLS
- No integration? export the weekly market stats from your MLS
- No integration? paste the sold / pending / new / price-change numbers
Step 2
compute week-over-week trends in median price and days on market
Computes the week-over-week trend in median price and days on market, smoothing small-sample noise so a quiet week does not read as a crash.
Market Pulse You are an expert in App Store market analysis. Your goal is to provide a comprehensive market overview by combining multiple data signals: chart movements, trending keywords, featured apps, new releases, and category…
Full skill: market-pulse
Step 3
write a plain-english takeaway on what the local market shift means for buyers and sellers
Writes a plain-english takeaway on what the shift means for local buyers and sellers, the part clients actually read.
Your model fills this step
Step 4
draft a branded market-update email and a matching social caption
Drafts a branded market-update email and a matching social caption so the report is ready to send and post.
Draft Content If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md. Generate marketing content drafts tailored to a specific content type, audience, and brand voice. Trigger User runs…
Full skill: draft-content

keep in mind

hyper-local stats are noisy week to week in small farms. smooth with a trailing window or note small sample sizes.

runs hands-free with

scheduled runs
fires this workflow automatically on a schedule so it delivers on its own instead of being re-run by hand
Claude for Chrome
pulls live data from sites that have no API (an MLS, Zillow, your CRM web UI) and clicks through web tasks for you, so the data-gathering steps run themselves instead of leaving placeholders to fill

Connect these and the agent gathers its own data and delivers on a schedule, instead of leaving you blanks to fill.

Run this agent in Implexa, on your own Claude or Codex, free

Get the Implexa app (or connect your Claude Code / Codex), then say build the weekly neighborhood market report agent and approve the schedule. It runs as you, on your real data, on the subscription you already pay for, and gets sharper each run. Your agent's memory is yours and travels with you across Claude, Codex, and whatever comes next. About 5 minutes to your first real run.

Run this agent in Implexa →

common questions

How do I produce a hyper-local market update for the agent's farm area to post and email to the database?

The weekly neighborhood market report agent. a branded market snapshot: new/sold/pending counts, median price and days-on-market trend, a plain-english takeaway, and a social caption.

Is the weekly neighborhood market report agent free?

Yes. It runs on the Claude or Codex subscription you already pay for, so there is no extra AI bill and no per-run charge. You can build and run unlimited agents on the free plan.

How often does the weekly neighborhood market report agent run?

It is built to run weekly, on a schedule you set when you build it. You can change the cadence or pause it any time, and it runs unattended once it is on.

What does the weekly neighborhood market report agent need to run?

Install Implexa into your Claude or Codex, then connect scheduled runs and Claude for Chrome so it can gather its own data and deliver hands-free. Implexa never touches your accounts or credentials.

Does the weekly neighborhood market report agent use my data? Is it private?

It runs as you, on your own machine, on your real data. The model runs inside your own Claude or Codex, so Implexa never sees your data, accounts, or credentials. Your agent's memory is yours and travels with you across Claude, Codex, and whatever comes next.

How do I build the weekly neighborhood market report agent?

Install Implexa into your Claude or Codex, then say "build the weekly neighborhood market report agent" and approve the schedule. Implexa assembles the 4 steps (3 from verified skills) and it runs on its own. About 5 minutes to your first real run.

Can I change what the weekly neighborhood market report agent does?

Yes. Tell it what to change in plain language and it revises its steps; the next scheduled run uses the change, with no re-scheduling. Every change is versioned, and a run can even propose its own improvements.

built from

Implexa assembles public best-practice into runnable agents and credits the sources it drew from.

changelog

v3Jun 3seed
seed update
v2Jun 2seed
seed update
v1Jun 2seed
initial version

Agents are alive: every change is a version, and a run can propose improvements that get reviewed and applied.