Real estate data
your AI can use.
Connect Claude, ChatGPT, Cursor or an agent you built. Ploti's agents collect parcels, zoning, permits and ordinances from the official source and keep them current, so your AI queries real tables and cites the record behind every answer.
| Parcel | Owner | Acres | Zoning | Mailing state |
|---|---|---|---|---|
01-24-27-0000-00-012 | Lakeview Groves Holdings LLC | 41.6 | A-1 | GA |
33-22-28-0000-00-004 | Meridian Land Partners LP | 28.3 | A-2 | TX |
12-21-27-0000-00-031 | Ponce Family Trust | 19.8 | A-1 | NY |
08-23-28-0000-00-017 | Sunbelt Citrus Co | 112.4 | A-1 | NC |
29-20-27-0000-00-002 | Hartwell Agricultural LLC | 15.2 | A-2 | OH |
17-24-28-0000-00-009 | Blue Ridge Timber Inc | 63.9 | A-1 | TN |
05-22-27-0000-00-023 | Cypress Bend Investments | 10.7 | A-1 | IL |
Find every parcel over 10 acres in unincorporated Orange County, Florida zoned for agriculture with an out-of-state owner, and save them so I can open them on the map.
navigateOrange County, FL · zoom 11execute_pythonSQL · 388,412 parcels scannedexecute_pythonpandas · mailing state ≠ FLshow_outputcheckpoint · 214 parcels
Found 214 parcels totaling 6,318 acres. The largest is Sunbelt Citrus Co at 112 acres. I saved them as a checkpoint and opened it on your map.
How it works: Your AI asks the question. Ploti makes sure the data behind the answer exists, is current and is traceable.
Add Ploti to the assistant you already use, or to any agent that speaks MCP. Setup takes a couple of minutes.
Ploti's agents find the county or city source, collect it, clean it and keep it current in your markets.
Your AI works from real tables with SQL and Python in a Ploti sandbox, and every row traces back to its source.
You've probably asked Claude, ChatGPT, or Grok for real estate data.
I bet it went something like this…
The county website blocked it
Ploti's agents collect from the official source on a schedule, across permit portals, PDFs and GIS servers, so your assistant gets the records instead of a CAPTCHA.
It asked you to download a 4 GB shapefile
The data lives in Ploti's cloud. Your assistant queries it with SQL and Python in a Ploti sandbox, so nothing lands on your machine.
It answered from search snippets, and some of it was made up
Your assistant works from real tables, not search results. Each row links back to the county or city record it came from, so you can check the answer.
The data exists, but not in a form anyone can use
Rezoning votes sit in years of scanned meeting minutes. Permits list addresses that don't match a parcel ID. One owner shows up under five spellings. Ploti's agents read the documents, tie each record to its parcel and resolve the names, so your assistant gets one clean table.
The data layer
Every kind of real estate data, piped into your agent.
Your assistant asks. Ploti finds the source, whether that is a county GIS server, a utility's hosting capacity map, or twenty years of meeting minutes, turns it into clean tables, and keeps it current.
- Parcels and owners
- Zoning, county and city
- Building permits
- Rezoning votes
- Tax delinquency
- Grid capacity
- Water and sewer lines
- Billboard rules
Grok BotSpaceXAI
MuseMeta
OpenAI- Claude CodeAnthropic
- ClaudeAnthropic
- ChatGPTOpenAI
Requests Ploti has already run
Which buildings can the grid still power?
2.76M distribution circuit segments with hosting capacity, on one map with utility territories and substations.
Powered landTwenty years of rezoning votes, read in full
324 cases rebuilt from 1,823 meeting documents, every vote linked to the page it came from.
Land assemblageZoning for 15 counties in an afternoon
57 county and city zoning layers, most of them ready within the hour.
Land investingEvery delinquent account's full tax history
1,421 accounts with their payment history, refreshed every week.
Distressed acquisitionBillboard rules you can map
16,486 regulated structures, checked against scenic highways and draft ordinance exclusion zones.
Out-of-home advertisingIs there a water line within half a mile?
10,744 potable water line segments for screening developable acreage.
Homebuilding
Works everywhere
Keep the assistant you already use.
Ploti is the real estate data layer underneath it. Pick yours for a two-minute setup guide.
- ClaudeWeb and desktop appsSetup guide
- ChatGPTWeb and desktop appsSetup guide
- Claude CodeTerminal agentSetup guide
- Grok BotSet up with a messageSetup guide
- MuseSet up with a messageSetup guide
- InstinctSet up with a messageSetup guide
- dotsSet up with a messageSetup guide
- GeminiGemini app and Gemini CLISetup guide
- CodexCodex CLI and appSetup guide
Building your own agent? Any agent that speaks MCP can use Ploti the same way Claude and ChatGPT do: the same datasets, the same sandbox and the same source behind every row. Data requests your agent files are researched and added for the rest of your workspace too.