DeepStack

DeepStack is an independent publication on the money behind artificial intelligence: the capital, the chips, the power and the people betting on all three. Each story gives the strongest case on each side of one question, takes a side in The DeepStack Call, and names the dated test that will settle it. The tools return that published analysis as text. Search the stories, the sides pages, the companies, the people and the dated tests. Read one story in full, with its Call, its key numbers and its sources. See who is on each side of a question: every voice attributed, paraphrased, dated and linked to its source. Open the Docket, the calendar of dated tests from today forward, each with the series, release or earnings print that decides it. Read the Results that have come in, with the primary source. Look up one company, with the delayed market snapshot and its source, or one person, with what they argued. State a thesis and get the strongest case against it: the side it sits on, the voice from outside that side, dated and linked, and the test that would settle it. Check the macro tape DeepStack tests its notes against. Every answer cites the canonical deepstack.ltd URL of each item it names. Figures carry their date and their source. No person is scored or ranked: we score claims, not people. No key is needed, and the tools only read: nothing is written to any account and no money moves. Sixty calls a minute per session, else per address. Questions asked through the MCP tools are kept as text with the date, the tool used, the number of results, a session id and the name the calling program gives itself, and nothing that identifies you: no address, no user agent, no cookie. They are kept to decide what DeepStack covers next. A click on a Docket test is kept only as a count per test and day, never with who clicked. Analysis and opinion, not investment advice.