
When this happens...
New Company
New Quotation
New Task
New Expense
New Invoice

Automatically do this!
Scrape Website
Generate AI Answer
Start Web Crawl
Get Crawl Info
Create Map
Batch URL Scraper
Fetch Batch Items
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when New Company created.
Trugger when new Quotation is created.
Trigger when new Task created.
Triggers when a new Expense is created.
This action creates a new invoice.
Action is the task that follows automatically within your Axonaut integrations.
Create a company in Axonaut via API
Create a Quotation
Create an Event
Create Task
Creates a product.
This action creates a new employee.

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To start, connect both your Axonaut and Olostep accounts to viaSocket. Once connected, you can set up a workflow where an event in Axonaut triggers actions in Olostep (or vice versa).
Absolutely. You can customize how Axonaut data is recorded in Olostep. This includes choosing which data fields go into which fields of Olostep, setting up custom formats, and filtering out unwanted information.
The data sync between Axonaut and Olostep typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Axonaut and Olostep. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Axonaut is a CRM and more: follow your customer from before the first contact, beginning at the marketing campaign, though negotiations, billing, bank reconciliation.
Learn MoreOlostep is a web data platform that enables developers and AI systems to search, crawl, and extract structured data from the public web at scale. It provides APIs for real-time web scraping, site crawling, batch data extraction, and AI-ready search with source grounding, making it ideal for powering AI agents, research workflows, and data pipelines.
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