Competitor research that cites its sources

List your competitors. Vecbase reads dozens of real pages — pricing, docs, G2 and Capterra reviews, news, product changelogs — cross-checks the claims, and hands you a structured PDF where every line has a footnote. Nothing made up. Run it again next week and only see what moved.

Pick a task example
target-competitors.txt· 1 KB
Research the competitors in this list. Produce an 8-page PDF with: (1) a one-paragraph positioning summary for each vendor, (2) a comparison matrix of the 15 most-discussed features with ✓ / partial / missing per vendor, (3) a pricing matrix showing entry tier, mid tier, enterprise tier + any hidden costs, (4) take-aways with priority badges. Cite every claim with the source URL and access date.

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A peek at what you get

Cover
Page 1 of 5·Cover
Executive summary
Page 2 of 5·Executive summary
Feature matrix
Page 3 of 5·Feature matrix
Pricing matrix
Page 4 of 5·Pricing matrix
Recommendations
Page 5 of 5·Recommendations

Watch the Agent gather 47 sources

Vecbase Agent fans out across the live web — pricing pages, docs, review sites, news — reads each one, then cross-references claims. Every footnote in the PDF points back to a URL and the exact second it was read.

Researching the observability landscape
4 competitors · multi-source web research · in progress
LIVE
web_search·“Datadog observability pricing 2026”
  • Pricing · Datadog
  • Q1 2026 Pricing Update · Datadog Blog
  • Datadog Pricing — 18 Verified Reviews
  • Datadog Flex Logs Tier Launch
sources
web_fetch·“Honeycomb agent traces feature documentation”
  • Agent Traces · Honeycomb Docs
  • Honeycomb Changelog · Q1 2026
  • Frankfurt Region Now GA · Blog
sources
web_fetch·“Grafana Cloud free tier user cap removed”
  • Free Tier Update · Grafana Blog
  • Grafana Cloud Pricing Page
  • Grafana Cloud — G2 Reviews (n=63)
sources
web_search·“Lumen Analytics per-seat pricing Series B”
  • Pricing — Flat $18/user · Lumen
  • Lumen Closes $60M Series B · Forbes
  • Lumen vs Datadog — 142 reviews
sources
web_search"Datadog observability pricing 2026"
web_fetchhoneycomb.io/pricing · honeycomb.io/docs/agent-traces
web_fetchg2.com/products/grafana-cloud · 63 reviews
run_pythonbuild_comparison_matrix.py · cross-reference 47 sources
edit_filereport.html · 5-page A4 · footnoted citations
Cross-referenced 47 sources · 12 unique data points · 0 hallucinated

Every claim in the report carries a footnote tied to a public URL and the UTC second it was fetched. Single-source claims are badged. Two-source disagreements are shown side-by-side, not silently resolved.

observability-landscape-2026.pdf
1.6 MB

Re-run weekly, only show what changed

Once the first report lands, schedule it. Mondays at 09:00 the Agent fetches the same source set, diffs against last week, and delivers a one-page delta — three things changed, or zero, or twenty. You decide what to look at.

Last refresh · 7 days ago
3 changes detected
Δ 3
  • Datadog·2 days ago · 14:22 UTC

    Raised Enterprise tier from $23/host to $26/host (+13%) — single biggest churn driver mentioned in this week's reviews.

  • Honeycomb·5 days ago · 09:11 UTC

    Frankfurt region went GA. EU data residency is now live; closes the last lost-deal objection from EMEA buyers.

  • Grafana Cloud·6 days ago · 16:48 UTC

    Removed the 10-user cap on the Free tier. Mid-market trial conversion likely to compress for Datadog and Lumen.

How it works

Step 01

Drop in the list

Plain text, one competitor per line — domain or product name, either is fine. Add a few notes if you want the Agent to focus on specific angles.

Step 02

Tell the Agent the brief

Length, audience, must-cover features, regions you care about, brand colors. The Agent confirms the scope with you before it starts reading.

Step 03

Get the PDF, with footnotes

The Agent reads 30 to 50 live pages at once, builds the comparison tables, and renders a PDF where every claim links back to the source page and the date it was read.

Why Vecbase for this

Real research, not made-up answers

Vecbase reads live pricing pages, product docs, G2 reviews, and news articles — then checks the claims against each other. Every number in the PDF carries a footnote with the source URL and the day it was read.

Side-by-side tables, not paragraphs

Feature grids and pricing tables your team can read at a glance. Hand it over and they know what to do next — no one has to parse three pages of prose first.

Re-run weekly, see only what changed

Like the first report? Set it on a schedule. Every Monday morning you get a fresh run flagging only what moved — who raised pricing, who added a region, who shipped a new tier. Delivered to email or Slack.

Lands in your Notion or Drive

The PDF and the underlying source links sync into your team's Notion page or Drive folder automatically. Your marketing team can pick it up without ever opening Vecbase.

Frequently asked

Every page is fetched live at run time — not from a stale crawl index. The PDF stamps each footnote with the exact UTC timestamp the Agent read that page. If you re-run an hour later, you may catch a pricing page that changed in between.

Get yours in under 90 seconds

Sign in, hand it over to the Agent — the finished file lands in your Drive.

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