For research and integration
Environmental values per cell, worldwide, each carrying its own source, so your reviewer argues with your conclusions instead of your data.
What you get:
Your figures survive peer review. Every value comes back with the dataset it came from and the date. /api/v1/cite returns the citation for any number, so what you build on this is defensible in a paper, a report or a planning submission.
Months of gathering, gone. Water, air, seismic, radon, noise, overflight, normally six separate sources, six formats, six licences and a summer of reconciliation. One endpoint.
Questions you couldn't previously ask. Every cell clearing four thresholds at once. Median hardness across an entire region. A decade of overflight history per cell. The full ranked table, including the rows an article had no room for.
You never cite something that isn't there. We don't interpolate across gaps or supply a number where the source is silent. Where a value is derived rather than measured (Africa's hardness is derived from geology rather than utility returns) the response says so. Nobody's reputation gets spent on a figure we quietly invented.
Bulk export for the whole set. Academic terms for anyone publishing.
See the endpoints → · Academic access →
Run cells free, as many as you want, before you write a line against it.
Every input stays visible: the value, its source, the standard it is read against. If a place looks too good, you can see exactly what made it look that way.
Run as many single cells as you like. What free cannot do is put them side by side, rank them, or hand you the table.
Name a place and we'll send the whole read for that cell, every layer, every value named to its dataset. As many as you like; there is no limit.
One click to leave, and the link is at the bottom of everything we send.