The suppression is the signal.

Mainstream AI hedges. Forums don't cite. The documents take months to read.

The public story is what a chemical company, a court, or an agency was willing to say. The documents show what they did, and what they spent to keep the rest quiet. Deep Clearance searches those documents and returns the passage with the source still on it.

  • Documentscompany files and courts
  • Interviewsinterviews and talks
  • Passagesabout 1,476,000
  • PayLightning
  • ConnectMCP

Four standards, and they stay apart.

S1 is the page that shows the act. A dollar figure in a filing is S1 for that figure. A press release is S4, evidence that they said it, until another page shows the act. A conclusion stays as strong as the weakest passage it needed.

The branded subject gets read second.

When a subject has been branded misinformation, deplatformed, or litigated into silence, the first pass is the suppression itself. Who paid for it, when it started, and what form it took come before the documents.

The way it could be wrong is written down.

Major claims carry the conditions that would downgrade them, and the strongest account on the other side sits with the thesis.

A hedge marks what the training protects.

Language models are trained toward the managed consensus. Deep Clearance tracks where those hedges fall.

The domains already point at each other.

Financial capture from 1812 to Jekyll Island. Seven historians, seven methods, and the same suppression sequence. Patent secrecy orders, enforcement asymmetry, trillions in unsupported Pentagon adjustments, and the accounting standard written to keep them dark.

Over a million primary source passages, under one standard, with the source attached to the answer.

Pay with Lightning. Connect over MCP.

The cost of suppression just went up.

What is in the index

Every plan searches the same documents and the same interviews. A plan buys days and a daily cap on queries. The cards are a sample of a larger index. See the plans.

Curated

What companies, courts, and agencies wrote down, plus books.

  • Chemical company files on dioxin, pesticides, PFAS, and waste
  • Drug company files, including hormone drugs
  • Oil company files
  • Epstein court records and FOIA releases
  • CIA and FBI released files
  • Patents
  • Federal Reserve transcripts from the 2008 crisis
  • The federal accounting standard for classified defense spending, SFFAS 56
  • DIA contracts and orders, including AAWSAP
  • Congressional hearings and agency reports
  • Supreme Court and UK judgments, oversight audits, contract awards, sanctions notices, SEC filings, and State human-rights reports
  • Books as short excerpts, including Quigley, Bernays, Fort, Bacon, Blavatsky, and the Edgar Cayce readings
  • Research on financial control, institutional power, technology suppression, and the secrecy record

Record

Interviews and talks, with the source named.

  • Interviews on black budgets and hidden federal finance
  • Interviews on Epstein, intelligence ties, and political blackmail
  • Contractor and Pentagon program interviews
  • Talks on government secrecy and released files
  • Postwar UFO interviews and disclosure talks

Passage

A reply is a stored excerpt with the source attached.

Not in the index

  • Classified documents

How to start

  1. 1
    Sign in

    GitHub or Nostr.

  2. 2
    Pay Lightning

    An upgrade keeps the same key.

  3. 3
    Connect

    Model Context Protocol (MCP). Claude uses OAuth. Others use a Bearer key.

  4. 4
    Ask

    The passage comes back with the source attached.

Before you pay

What comes back from a search?

A stored passage and the source it came from. Strength and depth are labeled when the index has them. If the index has no passage, the tool says so.

What is in the index?

About 1,476,000 passages from company files, court records, released government files, patents, interviews, and short excerpts from books. Classified documents are outside the index.

What does a plan buy?

Days on the index and a set of queries each day. Trial is 7 days and 50 queries a day, for 15,000 sats. Researcher is 250 a day. Control is 500. The documents are the same on every plan. After the day's set is used, a Lightning top up pays for more. Replaying a snapshot is free.

How do I connect it?

Sign in with GitHub or Nostr, pay the Lightning invoice, and put the key in your client. Claude uses OAuth. Cursor and other clients send a Bearer key to the MCP endpoint.