Real estate market intelligence — investment scores, rental yields, and market data for 895 US metros. Free for top 50 markets.
0 on GitHubby Lotlyticsv1.0.0MITupdated 7 months agodata
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Plugin lotlytics from marketplace lotlytics-marketplace in daejung83/lotlytics-plugin. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (6)
analyze-property
Analyze a specific property for investment potential — provide details or paste a Zillow link. Compares property price against market data. Free for top 50 markets.
explore-state
Discover the best real estate investment markets in a US state — ranked by investment health score. Free tier shows major metros only.
find-markets
Find US real estate markets matching your investment criteria — filter by budget, rental yield, appreciation, and state. Requires Lotlytics Investor plan.
head-to-head
Compare two US real estate markets side-by-side — prices, yields, appreciation, migration, and a winner verdict. Requires Lotlytics Investor plan.
market-report
Generate a full investment report for a US real estate market — prices, rental yield, health score, and investment verdict. Free for top 50 markets.
portfolio-check
Analyze 2-3 real estate markets as an investment portfolio — diversification, yield balance, and risk spread. Requires Lotlytics Investor plan.
MCP servers (1)
lotlytics
connects to: https://lotlytics-mcp-production.up.railway.app/sse
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
wshobson/agents 42,461
Maintain lotlytics?
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