This template runs on a schedule for compliance. JavaScript calls ScrapeGraphAI to read Federal Register pages.
ChatGPT writes an impact note. Supabase stores a compliance row. Gmail sends the alert. Connect Supabase and Gmail. Put the ScrapeGraphAI API key in that JavaScript node. ChatGPT is a Latenode AI step.
Latenode bills workflow runtime in CPU seconds. The first 10,000 CPU seconds are free each month, then usage follows pay-as-you-go CPU-second pricing. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how CPU seconds work →Workflow preview
The scenario starts on the interval you set, such as each weekday morning.
JavaScript calls ScrapeGraphAI and pulls title, agency, dates, and summary. Put the ScrapeGraphAI API key in that JavaScript node.
ChatGPT reads those details and returns impact, risk, and what to check for compliance.
Supabase writes a compliance row. Gmail sends the alert to the addresses you set.
Add a schedule trigger. Add a JavaScript node that calls ScrapeGraphAI for the Federal Register sources you watch. Put the ScrapeGraphAI API key in that JavaScript node.
Add a Supabase connection with the project URL and service key. Point it at a table for regulation title, agency, dates, summary, and impact. Add a Gmail connection that can send from the alert mailbox.
Send the parsed rule to ChatGPT for impact. ChatGPT is a Latenode AI step. Create the Supabase row, then send Gmail with title, summary, and impact. Run once and confirm the row and the email.
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