Does NEAR Intents volume predict NEAR network adoption?

Predictors: NEAR Intents volume (the candidate leading indicator) and NEAR token price (the competing indicator). Primary target: a Real Usage Index built from measures bots can't cheaply fake (fees burned in NEAR, plus returning signers once BigQuery covers the window). Secondary target: a broad Adoption Index of active accounts, transactions and contract usage. The page reports what the data says, including anything that cuts against the hypothesis.

Loading data… Rebuilt daily from raw data with python run.py THESIS.md Correlation dashboard Appendix: valuation

The variables

Q1 and Q2: does this week's change predict real usage k weeks later?

Correlation between each predictor's weekly growth and Real Usage Index growth k weeks later. Filled markers mean p < 0.05. A leading indicator needs significant points at k ≥ 1.

Predictive tests (controls: 2 weeks of the target's own history, 2 weeks of BTC, a dummy for the April 2026 break)

"p" tests whether two weekly lags of the predictor add information. "Out-of-sample" is next-week forecast error with the predictor divided by error without it, using only earlier weeks. Below 1 means the predictor helps.

Robustness: the same tests on each component and on other Intents measures

Q3: does Intents activity turn into fees for NEAR?

Method and limits