
NatAgent
AI data extraction & monitoring agent
61 followers
AI data extraction & monitoring agent
61 followers
NatAgent turns endless data into daily, actionable intelligence. Instead of manually tracking competitors, trends, and opportunities, NatAgent automatically monitors the topics you care about — and delivers concise insights, refreshed every day. Natagent can surface leads based on specific product mentions or competitor gaps!









BeFreed
Congrats on the launch! How does it make sure that it's getting all the data it needs to generate a report?
@jiaying_yang1 Thanks so much! 🙌
Great question — NatAgent pulls data from a combination of real-time crawlers + API integrations + keyword-based monitors across social, forums, and news.
We also run continuous refresh cycles, so the agent keeps checking for new mentions until the report is generated. This makes the coverage much more complete compared to one-time scraping.
If you have specific sources you care about, you can add them as custom monitors too!
This looks amazing! Does it work with non-English languages? I have a lot of Spanish client feedback to organize.
@ajzonic Absolutely — yes!
NatAgent can detect mentions, classify sentiment, and extract insights in those languages.
If you’re organizing Spanish feedback, NatAgent can cluster themes and summarize them for you automatically.
CrePal
BeFreed
looks promising! congrats on the new launch!
Aha
Just tried NatAgent — the setup was ridiculously smooth. The targeted monitoring feels way smarter than traditional tools. Curious to see how far this can go!
NatAgent is a surprisingly powerful AI “agent” for intelligence tracking and data analysis. I told it what I wanted to monitor — websites, social media, product changes — and it set up data-scraping workflows automatically. It alerts me when things change, pulls structured data from places like Reddit or Amazon, and helps me turn signals into real insights.
That said, there’s a learning curve: defining exactly what to track and how to parse the data takes some trial and error. But once set up, it’s like having a 24/7 research assistant.