AI market research report generator - describe any market or niche and 7 AI agents deliver a structured, source-verified report in ~15 minutes. From €19 per report.
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Maker
📌
Hey PH! Jan here, maker of ReportAgent.
I built this after watching consultants spend 2-3 days on market research that clients need in 24 hours. The problem isn't intelligence — it's time and source verification.
ReportAgent runs 7 agents in parallel:
→ Market sizing (TAM/SAM/SOM with sources)
→ Competitive intelligence
→ Trends & sentiment
→ Regulatory landscape
→ Financial signals
→ SWOT synthesis
→ Critic agent (flags unsourced claims before delivery)
The output is a structured 15-25 page report with linked sources, exportable to PDF/DOCX/PowerPoint.
What makes it different from ChatGPT:
- Parallel agents, not one model one pass
- Every claim links to a HTTP-verified source
- Critic agent rejects weak outputs and retries
- White-label exports for agencies
Free samples at raportagent.com — no email required.
Happy to answer anything — what markets do you research most?
Report
how exactly do the 7 ai agents verify their sources? like do they actually cross check claims against real data or is it more of a confidence rating thing
Report
Maker
@pfeliciadicvjqn It's real sources, not a confidence score. Each of the 7 agents runs ~20–25 web searches and actually fetches the pages, and every URL is HTTP-checked so dead links get dropped rather than cited. Sources are ranked by domain authority — official statistics, government, regulators and major business media get pushed up, while auto-generated content mills and PR wires get pushed down. Every key figure links back to a live source you can click, and the model is explicitly instructed to omit rather than guess — no invented numbers, prices, or review quotes. Because the 7 agents work different angles in parallel (market size, competition, trends, regulation, sentiment, finance, SWOT), a claim usually shows up across several independent domains. A critic agent then checks the report clears a floor — minimum sources, minimum distinct domains, core sections present — and triggers a targeted re-run on any weak section. So the cross-checking is real but implicit: a fully-sourced, AI-generated first pass where you can trace every number back to where it came from — not a confidence rating, and not a human fact-checker.
how exactly do the 7 ai agents verify their sources? like do they actually cross check claims against real data or is it more of a confidence rating thing
@pfeliciadicvjqn It's real sources, not a confidence score. Each of the 7 agents runs ~20–25 web searches and actually fetches the pages, and every URL is HTTP-checked so dead links get dropped rather than cited. Sources are ranked by domain authority — official statistics, government, regulators and major business media get pushed up, while auto-generated content mills and PR wires get pushed down. Every key figure links back to a live source you can click, and the model is explicitly instructed to omit rather than guess — no invented numbers, prices, or review quotes. Because the 7 agents work different angles in parallel (market size, competition, trends, regulation, sentiment, finance, SWOT), a claim usually shows up across several independent domains. A critic agent then checks the report clears a floor — minimum sources, minimum distinct domains, core sections present — and triggers a targeted re-run on any weak section. So the cross-checking is real but implicit: a fully-sourced, AI-generated first pass where you can trace every number back to where it came from — not a confidence rating, and not a human fact-checker.