Clean and combine.
Let your agent turn files, public sources, and APIs into a clean dataset with documented fields.
How Mostly Right works
Publish datasets people can find and use.
Let your agent do the data work. We host the dataset, make it easy to discover and use, and keep it updated on your schedule.
FROM A QUESTION
Hourly weather observations across the United States
Find and connect sources
Clean, check and document
Publish and keep updated
One dataset. Ready to use.
JSON API · Parquet · MCP
From sources to a dataset others can use.
Publish it. Help people find it.
Choose what to share. Public datasets get a page where people can explore, query, and download the data.
Set a schedule. We keep it updated.
Choose how often your dataset refreshes. We run the updates and make the latest version available.
Start with the data you need.
Combine public sources, APIs, and your own files into a dataset worth publishing.
Connect directly
- Open APIs
- Live endpoints
- Keyed APIs
- Authenticated
- GraphQL
- Query endpoints
- WebSockets
- Live streams
- SQL
- Databases
- S3
- Object storage
Tables and records
- CSV
- Tables
- JSON
- Records
- XLSX
- Workbooks
- XML
- Feeds
- Parquet
- Columnar files
- NDJSON
- Streams
Documents and grids
- ZIP
- Archives
- Documents
- HTML
- Web tables
- GRIB
- Weather grids
- NetCDF
- Scientific arrays
- GeoTIFF
- Raster maps
Clean data.
Clear meaning.
Agents standardize values and timestamps, join the tables, and check the result so others can understand what you publish.
Name the fields
Give each column a clear name, data type, and documented unit.
Standardize values
Convert measurements with the exact scale and offset required by their units.
Join the tables
Match rows on the right keys. A join is refused when declared units disagree.
Check the result
Verify row counts, date ranges, required values, and missing data.
Set the schedule.
We run the updates.
Set a refresh schedule that fits your sources. We run the updates, so sharing a dataset does not leave your team maintaining a separate pipeline.
A page people can find.
Data they can use.
Inspect tables, schema, and sources. Query the JSON API, connect an AI tool through MCP, or download the full Parquet file.
Built for working together.
Invite the whole team.
There is no seat limit on any plan, free included. Add everyone who builds, reviews, or uses your datasets.
Give each person the right access.
Assign Owner, Admin, Editor, or Viewer roles and decide how every dataset is shared.
Keep source keys inside the organization.
Store source credentials securely and use them without passing secrets between teammates.
Give your next dataset a home.
Build it. Share it. Keep it useful.