Browse docs
Documentation category
Datasets
Focused setup notes, examples, and reference pages for this part of Monity.
Articles
All docs
Start with the page that matches your task.
01
Datasets: collect data from many pages, kept up to date
Rows from one or many pages, collected by steps you set once and replayed on a schedule, with alerts on new, changed and removed rows. In early access.
02
Make a dataset: pick the items, set the steps once
Open the page, click one item and Monity finds the rest. Add Next page, check the rows with Run to here, then save: every run repeats the same steps.
03
Dataset steps, fields and transforms
Every step of a dataset: Go to, Click, Type, Collect list, Next page, For each item, AI read, Run code; fields, transforms such as Date → ISO, and the row key.
04
Dataset inputs and Find pages
Where each run of a dataset starts: a list of up to 1,000 addresses with your own values, a CSV, another dataset’s rows, or pages found from a sitemap.
05
Read a dataset: rows, changes, inputs and runs
A dataset's Rows, Changes, Inputs and Runs tabs: new and changed rows, what moved since the last run, each input's status and every run step by step.
06
Dataset schedule, alerts and settings
Run a dataset every hour to every month, choose which row changes alert and where, and set its saved login, network, limits and cost on Settings.
07
Export a dataset: CSV, JSON, JSON Lines, Markdown or Excel
Download a dataset's rows as CSV, Excel, Markdown, JSON or JSON Lines, with the input each row came from. Values never open as spreadsheet formulas.
08
Credits for datasets
Datasets use your plan’s credits, 1 credit = 1 check: 1 for each page a run opens, 5 more a page for an AI read step. Run to here and Run code are free.
09
Read datasets from Claude and Codex with MCP
Connect Claude Code, Codex or another MCP client with an API key to list your datasets, read their rows as data or Markdown, and see what changed.
In this category
9 published docs
- Datasets: collect data from many pages, kept up to date
- Make a dataset: pick the items, set the steps once
- Dataset steps, fields and transforms
- Dataset inputs and Find pages
- Read a dataset: rows, changes, inputs and runs
- Dataset schedule, alerts and settings