Will Callum Turner be the next James Bond?
Active at retrieval ·
Provider timestamp: 2026-06-15T23:04:56.817856Z. Independent causal evidence is not attached.
Provider source ↗Investigate →Evidence-driven prediction-market intelligence
Tomlinson turns market probabilities, evidence, current events, historical context, and uncertainty into explainable daily intelligence for people who need more than a raw price.
Start with an observed quote, inspect the source and limitations, then investigate or monitor the contract. A price change alone is not a causal explanation.
Active at retrieval ·
Provider timestamp: 2026-06-15T23:04:56.817856Z. Independent causal evidence is not attached.
Provider source ↗Investigate →Active at retrieval ·
Provider timestamp: 2026-10-31T08:28:15.014535Z. Independent causal evidence is not attached.
Provider source ↗Investigate →Active at retrieval ·
Provider timestamp: 2026-10-31T08:28:15.014535Z. Independent causal evidence is not attached.
Provider source ↗Investigate →The flagship daily experience
An attributable view of qualifying observations, with no minimum story count: what changed, why it matters, what evidence exists, what remains uncertain, and what could invalidate the current interpretation.
How Tomlinson works
Prediction markets and original sources are organized into a repeatable path from observation to evidence-backed understanding.
What Tomlinson is
Tomlinson is an AI-assisted intelligence and research platform that helps users understand prediction markets through evidence, context, probability, historical analysis, and explainable interpretation.
It organizes observed market information and supporting evidence to explain what changed, why it may matter, how reliable the available information appears, what alternative interpretations exist, and what could invalidate a conclusion.
Trust by design
Observed data, corroborating evidence, derived interpretation, counterevidence, and unresolved uncertainty remain visibly separate.
Read the methodology →Featured research
Methodology explains our operating rules. Research examines specific questions and limitations.
A workspace that learns with permission
Personalization begins with what you explicitly choose. Behavioral learning remains optional, visible, and reversible.
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