An AI investigator for the honest web

Reviews are usually hidden.
Not here.

Name a product, place, film, or company. The agent digs past page-one marketing to the candid, buried takes real people leave — Reddit, Trustpilot, forums — and files an honest verdict. With sources you can open.

Searched in real time on the live web via Nimble

The Archive

Recently declassified

Case no. HR-1010Mixed

Dyson V15

62 trust

“It has a light that makes all the dirt show, but isn't powerful enough to pick it all up. I was really surprised at how weak the suction is.”

— reddit.com

6 searches · 38 sourcesOpen file
reddit.com, trustpilot.com
Case no. HR-4263Positive

Dune Part Two

82 trust

“A failure as both spectacle and storytelling — pacing far too fast, writers jumbled Dune and Messiah into almost one.”

— reddit.com

6 searches · 43 sourcesOpen file
reddit.com, letterboxd.com
Case no. HR-8713Mixed

Joe's Pizza NYC

72 trust

“Quality control is terrible, even at their flagship — it's good at best, mid on average, terrible at worst.”

— reddit.com

6 searches · 37 sourcesOpen file
reddit.com
Case no. HR-5653Mixed

Notion

62 trust

“It sucks. It's using subpar models and unable to fulfill tasks such as identifying stuff inside specific databases when asked to.”

— reddit.com

6 searches · 39 sourcesOpen file
reddit.com, trustpilot.com
Case no. HR-5603Mixed

Peloton Bike+

58 trust

“Sloppy content, outdated technology, high costs, and forced subscription issues noted after 5 years of ownership”

— reddit.com

6 searches · 35 sourcesOpen file
reddit.com, trustpilot.com

The method

How the investigation works

Not one API call — a research agent that plans, searches, critiques its own coverage, and digs again before it commits to a verdict.

  1. 1

    Plan the angles

    Claude

    Claude reads the subject and tailors search angles to it — Amazon reviews and Reddit for a product, Letterboxd and IMDb for a film, TripAdvisor and local subreddits for a restaurant, Glassdoor and G2 for a company.

  2. 2

    Search the live web

    Nimble

    Nimble runs every angle in parallel across the candid sources page one buries — and deep-reads the long-form angle, extracting full page text for the quotes that matter.

  3. 3

    Assess the coverage

    Claudefeedback loop

    The agent reads what came back, finds the biggest blind spot, and writes a sharper follow-up query. This loop is what makes it an agent, not a search box.

  4. 4

    Dig deeper

    Nimble

    It searches again to fill the gap — chasing the durability complaint, the repair thread, the thing no one advertises.

  5. 5

    File the verdict

    Claude

    Claude synthesises an honest verdict and a trust score, citing sources by index so every quote links to a real page — never invented.

Model Context Protocol

Give your AI clearance to the honest web

Ask ChatGPT about a product and it parrots the glossy surface — LLMs are blind to buried reviews. hidden.reviews is a hosted MCP server, so Claude, Cursor, or ChatGPT can pull the sourced, buried truth live — right inside your workflow.

ClaudeCursorChatGPTWindsurf
https://hidden-reviews.vercel.app/api/mcp
hidden-reviews · MCP tool call
›you: "is the Sony WH-1000XM5 actually worth it?"
→get_hidden_reviews({ query: "Sony WH-1000XM5" })
←trust 68 · 5 buried takes · 43 live sources via Nimble
“Outstanding ANC — but long-term owners flag hinge durability and a fussy app.”

Or drop the snippet into your mcp.json

{
  "mcpServers": {
    "hidden-reviews": {
      "url": "https://hidden-reviews.vercel.app/api/mcp"
    }
  }
}