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Technology

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Beam.ai

AI Agent Integrations

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Wachete

AI Agent Integrations

Wachete

Spot content and price changes across web pages with Wachete, automating monitoring work like alerting a team when a value shifts.

Web page monitoring

This keeps an eye on pages you care about for any change. A Beam agent reads the pages registered in Wachete on the schedule you set, compares each against its stored version, and records a change when content moves beyond your threshold. Small or cosmetic shifts are ignored. A detected change can notify the owner or open a task. Pages that start returning errors, block the checker, or need a login are flagged for a person, since the agent will not force access it was never granted for the site.

Content change alerts

This tells the right people when a watched value moves. Once Wachete reports a change, a Beam agent reads what changed, applies your rule on what matters, a price shift, a new posting, a policy edit, and sends an alert to the channel or ticket you chose with the details attached. Minor edits below your bar are suppressed. The change is written to a log. When a change is hard to classify or looks unusual, the agent escalates it to a person to judge before acting on it.

Data extraction

This pulls specific values off a page rather than watching the whole thing. A Beam agent reads the fields you defined in Wachete, a price, a stock status, a date, and writes them into your record or sheet on each check, applying your rules to normalize the format. Sudden gaps or values outside an expected range can raise a flag. History is kept so trends stay visible. When a page's layout changes and the field can no longer be found, the agent alerts a person to fix the selector rather than saving junk.

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Start building AI agents to automate processes

Join our platform and start building AI agents for various types of automations.

Start today

Start building AI agents to automate processes

Join our platform and start building AI agents for various types of automations.