Launched this week
Isopleth
Every public fact about a US place, in one API call
2 followers
Every public fact about a US place, in one API call
2 followers
Isopleth gives developers and AI agents 351 cited public-data fields for any US coordinate or address: flood, terrain, soils, power grid, sun and wind, hazards, plus parcel records in 35 states + DC. REST API and hosted MCP server. 1,000 free lookups a month.
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Hi Product Hunt! I'm the maker of Isopleth.
I started with Check the Land, a $29 report that tells land buyers what's actually on a lot: flood zone, slope, soils, wetlands, road access, power and wildfire. Collecting that data meant stitching together dozens of agency datasets, each with its own format, units and license. So I turned that layer into its own API, and Check the Land now runs on it.
Isopleth takes a coordinate or a US address and returns up to 351 typed fields from 95 public sources (USGS, FEMA, EPA, EIA, NOAA, NREL, USDA, Census, FCC and more). Every value comes with its unit, status, confidence, source, license and data vintage, so you can cite it instead of guessing.
- Parcels: acreage, value, last sale and boundary for 88.4M parcels in 35 states plus DC, through Enrich and Search. Owner names appear only where the publisher releases them and state law allows reuse.
- Proximity: the nearest substation, transmission line, hospital and more, with distances.
- Ask: a plain-English question goes in, a deterministic plan runs and an answer with sources comes back.
- A hosted MCP server for Claude, ChatGPT, Cursor, VS Code and Codex. Sign in once, no key to paste. In Claude Code it's one line: claude mcp add --transport http isopleth https://api.isopleth.dev/mcp
- Client libraries: pip install isopleth and npm i isopleth, with ready-made tool schemas for OpenAI, Anthropic, LangChain and the Vercel AI SDK.
- 1,000 free lookups a month with no card. Geocoding is free, and requests that return no data aren't charged. Paid plans are $19 and $79 a month.
I'd love your honest feedback. Which fields or states should I add next, and what would you build with it?