New Source: LinkedIn

TL;DR: datavessel now supports LinkedIn as a source. Your agents can create and publish posts on your behalf—useful for automating marketing workflows. This is a power-user feature. No prebuilt agents. Use carefully.

We’ve added LinkedIn as a source in datavessel. Your agents can now post to LinkedIn on your behalf.

This unlocks workflows like:

• Analyze your website → generate a social hook → post to LinkedIn
• Pull weekly analytics → summarize key wins → publish an update
• Monitor product launches → draft announcements → schedule posts

It’s marketing automation powered by the same agent platform you use for analytics and alerts.

How It Works

When building a custom agent, you can now include LinkedIn actions in your prompt. Here’s an example:

Use @datavessel_lookup_url to fetch datavessel.io and then create
a social media hook for users to visit that website. Then post
on LinkedIn using @linkedin_create_text_post

The agent fetches your site, generates copy, and publishes—all in one workflow.

Here’s what the output looked like when we tested it:

Wake up to insights, not dashboards.

If you’re tired of checking analytics “just in case,” datavessel is building a better default: autonomous agents that monitor your shop + website data 24/7 and only message you in Slack when something actually changes—complete with the reason why.

What it can do:
• Revenue drop alerts (today vs 7-day avg)
• Conversion / checkout anomaly detection
• SEO & Search Console performance monitoring
• Draft social posts + generate client-ready reports

Try it (beta is free): https://datavessel.io

#ecommerce #analytics #seo #shopify #slack

That post was generated and published by an agent—no manual copy-paste required.

What You Can Build

With LinkedIn as a source, your agents can:

• Generate content — Pull data from your site or analytics, turn insights into posts
• Publish directly — Post to LinkedIn without leaving datavessel
• Schedule workflows — Combine with scheduled agents to post on a cadence
• Chain sources — Fetch from one source, transform, publish to another

This is the same multi-source workflow pattern that powers analytics-to-Slack alerts—now extended to social publishing.

For Power Users Only

We’re not shipping prebuilt LinkedIn agents. Here’s why.

Posting to a professional network is different from sending a Slack alert. The stakes are higher. A bad analytics summary in Slack is an annoyance. A bad LinkedIn post is public, permanent, and tied to your professional identity.

LinkedIn automation requires:

• Understanding your prompts — Know exactly what instructions you’re giving the agent
• Testing before scheduling — Run agents manually first, review outputs, iterate
• Monitoring results — Check what’s being posted, especially early on
• Taking responsibility — The content is yours, even if an agent wrote it

If you’re comfortable building custom agents and understand the implications of automated publishing, this feature is for you. If you’re not sure, stick with manual posting—or use agents to draft content that you review before publishing.

Important Disclaimer

You are responsible for all content posted through datavessel agents. We provide the tools; you control what gets published. Review your agent prompts carefully. Test workflows before scheduling. Monitor outputs. We are not responsible for content generated or published by your agents.

Automated posting is powerful. Use it thoughtfully.

Get Started

LinkedIn is available now as a source in datavessel. Connect your account, build a custom agent, and start experimenting.

Start with manual runs. Review the output. When you’re confident, add scheduling.

Connect LinkedIn at app.datavessel.io