# Separate evidence from hype in a hot sector > Quality verdicts flag which videos back claims with data and which just vibe — filter a noisy sector down to the sourced few. - For: Investor - Category: Finance, Investing & Due Diligence - MCP tools: deep_search - HTML version: https://veridive.com/mcp/use-cases/evidence-vs-hype ## The problem When a sector gets hot, its information supply inverts: the louder the theme, the worse the average video about it. Every trend surfs in on a wave of thumbnail-pointing enthusiasm — channels that discovered the topic last Tuesday, recycling each other's talking points with rising conviction and falling sourcing. The genuinely informed material still exists; it's just outnumbered fifty to one and algorithmically outgunned. Your research hours are the scarce resource. Spending them figuring out *which videos deserve them* is the tax every hot sector charges — unless something reads the transcripts first and tells you where the evidence actually is. ## How veridive MCP helps **deep_search** reads before you watch. Every result comes back with transcript-derived **quality verdicts**: **factual** (claims backed by specific data, named studies, first-hand evidence — not "sources say"), **original** (first-hand analysis, not a rehash of last week's rehash), **high_density** (substance per minute, not padding), **ad_free** (no sponsor thumb on the scale). Point it at the hot theme and the fifty-to-one noise ratio flips: the sourced few rank up, the vibe merchants fall away, and evidence snippets show you the exact moment each substantive claim gets made. What's left is a research queue where every entry earned its place by what's actually said in it — the diligence tax refunded. ## How to run it 1. **Connect veridive MCP** — One-time setup: add the veridive MCP server to Claude, ChatGPT, Cursor or any MCP client and generate your API key. Takes about two minutes. 2. **Sweep with the verdicts on** — Search the theme and let the transcript analysis do the triage — factual and original content rises, reaction noise sinks. ``` Find substantive analysis of — factual, original content only, no reaction or hype channels — use veridive's deep_search. ``` 3. **Build the reading queue** — Shortlist from the verdict-ranked results; evidence snippets tell you where each video makes its strongest sourced claim. ``` From those results, which videos cite specific data or first-hand evidence for their core claims? List them with the key moments. ``` 4. **Re-sweep as the cycle matures** — Hype cycles evolve — early substance gets buried under late-arriving noise. A monthly verdict-filtered sweep keeps the queue honest. ``` Repeat the sweep for the last month's uploads — anything new that's actually sourced? ``` ## Problems it solves - Hot sectors invert signal-to-noise: the more it matters, the harder the sourced material is to find. - Thumbnails and titles are optimized to hide the difference between evidence and enthusiasm. - Manually vetting a sector means watching hours of noise to find minutes of sourcing. - Late in a cycle, even good channels drift from analysis to audience-feeding — verdicts catch the drift. ## Why it's valuable - Research hours land on content that earned them — triage by transcript, not by thumbnail. - The factual verdict is a bar (specific data, named sources), not a vibe — 'studies show' without specifics doesn't clear it. - Evidence snippets jump you to the load-bearing claim of each video before you commit the watch time. - Works at any cycle stage: early (find the pioneers), peak (dodge the flood), late (find the post-mortems). ## Example prompts ``` Substantive, factual, original analysis of — no hype or reaction content — use veridive's deep_search. ``` ``` Which of these actually cite data or first-hand evidence? Key moments per video. ``` ``` Any genuinely sourced uploads this month? ``` ## FAQ **What exactly does the factual verdict measure?** Whether the transcript backs its claims — specific studies, data, named experts, first-hand evidence. Vague gestures at research don't clear the bar. It's a per-video, transcript-level assessment, not a channel reputation score. **Won't this filter out good contrarian takes?** Contrarian and sourced aren't opposites — a well-argued short case clears the factual bar exactly like a bull case does. What gets filtered is the unsourced conviction, in either direction. **Is this investment advice?** No — it's triage for your research queue. It decides which videos deserve your hours, not what you should do with what they say. ## Related use cases - [Vet a market claim before repeating it to your board](https://veridive.com/mcp/use-cases/vet-claims-before-the-board.md) — That stat in your deck — trace it to a primary spoken source with evidence filters, or find out it dissolves under scrutiny. - [Fact-check extraordinary claims in emerging assets](https://veridive.com/mcp/use-cases/extraordinary-claims-check.md) — "Guaranteed 40% yield" — ask for the primary sources behind a claim and get either citations or silence; both are answers. - [Build an investment-thesis file from expert commentary](https://veridive.com/mcp/use-cases/investment-thesis-file.md) — Collect the strongest bull and bear cases into a library, then stress-test your thesis against all of them in one chat. --- Part of the veridive MCP use-case library: https://veridive.com/mcp/use-cases.md Server docs for agents: https://veridive.com/mcp.md