Compare three software vendors before you buy
Three vendors’ pricing pages, their Trustpilot reviews, what users say on Reddit and Hacker News, side by side before you buy.
Steps
A vendor comparison puts price for your team, must-haves and real user experience side by side. With Agentik, your AI reads pricing pages with Firecrawl, Trustpilot reviews with DataForSEO, Reddit threads through ScrapeCreators and comments from Hacker News.
Step 1: Read pricing
Firecrawl reads each vendor’s pricing page.
Step 2: Read reviews
DataForSEO reads each vendor’s latest hundred Trustpilot reviews; the results come back in a few minutes, and fetching them is free.
Step 3: Read what users say
ScrapeCreators searches Reddit for comparisons, and Hacker News search finds comments that mention the vendors.
Step 4: Compare and recommend
Your AI writes the price for your team side by side, the must-haves covered, the review themes and a recommendation with questions to ask.
Your agent does this part, with no tool call.
What you get
A side-by-side vendor comparison with a pick.
You provide
- Three vendors and their domains
- Your team size
- Your must-haves
Your agent returns
- Price for your team, side by side
- Must-haves covered
- Review themes and common complaints
- A recommendation and questions to ask
| Vendor | Price for your team | Must-haves | Main complaint |
|---|---|---|---|
| Vendor A | All | Slow support | |
| Vendor B | Missing SSO | Price rises | |
| Vendor C | All | Steep learning curve |
Placeholders. Your rows come from your run.
Each provider does one part
No single provider covers this job. Your agent calls each one for its part, from one connection.
Good to know
- Pricing pages change often; the table is dated.
- Review sites over-represent strong opinions; your AI weighs themes by frequency.
When to use something else
For a formal procurement process with security reviews, use your procurement tools and the vendors’ trust centres. This playbook narrows the choice first.
Questions
Are the prices up to date?
They are read when you run the playbook, and the table is dated. Pricing pages change often.
Can reviews be trusted?
Review sites lean toward strong opinions, so your AI weighs themes by how often they come up.
What does the example cost?
At most $0.05, reserved before each call and settled at the measured usage.
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