MCP

AI-agent format

Vet a market claim before repeating it to your board

That stat in your deck — trace it to a primary spoken source with evidence filters, or find out it dissolves under scrutiny.

CEOMarket & Competitor Researchdeep_searchdeep_query
The use case

The problem

Every deck has one: the market stat everyone repeats and nobody has sourced. "The market's growing 40% a year." "80% of teams plan to adopt this." It arrived via a competitor's deck via a blog via a webinar via — somewhere. You're about to say it to your board, and one director has a habit of asking, mildly, "where's that from?"

Claims like these are load-bearing. Strategy leans on them, hiring plans assume them, valuations quote them. And the chain of custody usually ends at a slide that cited another slide. Before it goes in your deck, it deserves ten minutes of adversarial sourcing: who actually said it first, in what context, with what basis — and does anyone credible dispute it out loud?

The mechanics

How veridive MCP helps

deep_search hunts the primary utterance: search the claim's substance with the factual quality verdict doing the filtering — surfacing content that cites specific data, named sources and first-hand evidence over content that just repeats the number confidently. Evidence timestamps land you on the exact moment the claim gets made (or made-up).

deep_query runs the adversarial pass: "what's the actual evidence for and against <claim>?" It reads across the record and returns both sides cited to the second — who asserts it and on what basis, who disputes it and why. Ten minutes later the stat in your deck either has a named, checkable source and a confidence level… or it's quietly gone, which is the cheaper way to learn it was folklore.

Step by step

How to run it

  1. 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. 2
    Hunt the primary source

    Search the claim with factual filtering on. You're looking for the earliest, most-cited utterance with an actual basis — not the loudest repetition.

    Who actually says <claim> with evidence — data, named studies, first-hand numbers? Factual content only, and show me where exactly they say it — use veridive's deep_search.
  3. 3
    Run the adversarial check

    Ask for the dispute, not just the support. A claim nobody credible contests reads very differently from one experts argue about.

    What's the evidence for and against <claim>? Who disputes it and on what basis? Both sides, cited to the moment.
  4. 4
    Rewrite the slide honestly

    Attach the real source and the honest framing — or replace the stat with what the evidence actually supports.

    Given these findings, how should I phrase this claim in a board deck so it's accurate and attributable? Draft the line and the source note.
Before vs after

Problems it solves

  • Market stats circulate deck-to-deck with the source lost three hops back.
  • Confidence and evidence look identical in a slide; the difference only surfaces under a director's question.
  • Manually tracing a claim's origin means hours across blogs, webinars and podcasts nobody has.
  • Contradicting evidence exists but never reaches you, because repetition is louder than rebuttal.
The payoff

Why it's valuable

  • Load-bearing claims get sourced before the board hears them — credibility is asymmetric to lose.
  • The factual verdict prioritizes content with actual basis, cutting the confident-repetition noise.
  • You see the dispute map: solid consensus, live debate, or pure folklore — each changes the slide.
  • Ten minutes per claim: cheap insurance against the mild question you can't answer.
Copy & paste

Example prompts

Who says <claim> with actual evidence? Factual content only, exact moments — use veridive's deep_search.
Evidence for and against <claim>, both sides cited to the moment.
Draft a board-deck phrasing of <claim> that's accurate and attributable, given these findings.
Questions

FAQ

What does the factual verdict actually check?

It's a transcript-level quality assessment of whether claims are backed — specific studies, data, named experts, first-hand evidence — versus asserted. It ranks the sourced discussions up so your vetting starts from the strongest material.

What if the claim only exists in written reports, not on video?

Then the sweep tells you that too — an absence of anyone credible saying it on the record is itself signal, and the expert commentary around the topic usually reveals how the number is regarded.

Do I have to name veridive's tools in these prompts?

No — describe the vetting job in plain language and the routing sorts itself. Hints only matter if multiple research servers are connected.

Keep going

Related use cases

Run this in your own assistant

Connect the veridive MCP server to Claude, ChatGPT or Cursor and paste the prompts above — setup takes about two minutes.