probable Intel / Methodology

A credibility layer for market-derived signal

Methodology is where probable Intel explains how coverage, signal interpretation, and product design fit together.

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Methodology is not only about data cleanliness

For prediction-market products, methodology is also about deciding which markets matter, how movement is contextualized, and how users are guided from raw inputs toward confidence.

That means probable Intel methodology sits across product design and editorial judgment as much as it does pure data handling. The goal is a signal layer that operators, traders, and enterprises can actually trust.

As the public-facing Intel surface grows, this route can deepen into fuller documentation about sourcing, indexing logic, coverage design, and signal interpretation.

See the products built on top of that methodology

Move from the credibility layer into dashboards, feeds, APIs, and signal products.

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