Lotlytics — US Real Estate Market Data & Investment Analytics MCP Prompts
Lotlytics — US Real Estate Market Data & Investment Analytics offers 25 prompts. A prompt is one you invoke yourself, rather than a tool the model calls on your behalf — each has its own page with the configuration for every client that can run it.
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market_is_city_a_good_buymarket is city a good buy
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markets_affordable_with_appreciationmarkets affordable with appreciation
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markets_top_net_migrationmarkets top net migration
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market_full_summarymarket full summary
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market_inventory_buyer_or_sellermarket inventory buyer or seller
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compare_two_markets_buy_and_holdcompare two markets buy and hold
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compare_three_for_first_rentalcompare three for first rental
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compare_two_for_relocation_upsidecompare two for relocation upside
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screen_southeast_yield_and_appreciationscreen southeast yield and appreciation
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screen_top_score_with_affordabilityscreen top score with affordability
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screen_low_climate_risk_high_migrationscreen low climate risk high migration
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screen_zip_codes_in_statescreen zip codes in state
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screen_cash_flow_cap_ratesscreen cash flow cap rates
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risk_climate_profilerisk climate profile
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risk_price_correction_signsrisk price correction signs
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risk_employer_concentrationrisk employer concentration
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risk_affordability_vs_nationalrisk affordability vs national
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forecast_twelve_month_priceforecast twelve month price
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forecast_national_outperformersforecast national outperformers
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forecast_recovery_playsforecast recovery plays
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content_investor_market_briefcontent investor market brief
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content_five_data_backed_reasonscontent five data backed reasons
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content_whats_changed_this_yearcontent whats changed this year
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content_lotlytics_vs_zillowcontent lotlytics vs zillow
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content_one_page_investor_reportcontent one page investor report
Lotlytics — US Real Estate Market Data & Investment Analytics also offers 2 resources — data you attach as context, where a prompt is something you run.
Read from the server itself, by connecting to it and calling prompts/list on 24 September 2026.
A listing does not declare its prompts, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each prompt's arguments.