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Datasets

Focused setup notes, examples, and reference pages for this part of Monity.

9 docs Updated as product docs change
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01 Doc 5 min read 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 Doc 5 min read 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 Doc 6 min read 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 Doc 3 min read 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 Doc 4 min read 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 Doc 3 min read 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 Doc 2 min read 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 Doc 3 min read 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 Doc 3 min read 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.
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