NEAR Protocol (NEAR) · Cross-chain infrastructure · Data to
Key takeaways
Swap by swap, 1Click volume did not leave
7-day average of daily volume. 1Click: every successful 1Click swap of $100 or more (about 99% of 1Click dollars), from NEAR Intents' Explorer API, which still sees swaps that settle confidentially. Public swaps: what NEAR's chain shows (BigQuery). DefiLlama: total Intents volume, of which 1Click is a part.
Source: NEAR Intents Explorer API, NEAR public BigQuery dataset, DefiLlama · Code: src/fetch_explorer.py · Queries: sql/intents_swap_trace.sql, sql/intents_stable_volume_daily.sql · Added after the pre-registration
Who routes the flow: a handful of integrators, and large-swap volume held
Source: NEAR Intents Explorer API, author's calculations · Code: src/fetch_explorer.py, src/build.py · Added after the pre-registration
The public record shrank when 1Click swaps moved to Confidential Intents
Left: share of Intents volume visible as public onchain swaps (7-day): the stablecoin side of every token_diff swap, counted once, logged by intents.near (NEAR BigQuery) over DefiLlama's total. Right, with no DefiLlama at all: receipts a day on intents.near that log a public swap, against those that move funds to or from the Treasury account behind Confidential Intents. NEAR Intents' changelog: "From October 27, 2026, 1Click swaps settle confidentially."
Source: NEAR public BigQuery dataset, DefiLlama, NEAR Intents changelog, author's calculations · Queries: sql/intents_stable_volume_daily.sql, sql/intents_confidential_daily.sql · Added after the pre-registration
NEAR held by the three wallets that receive Intents' captured revenue (front-end fund, 1Click fund, buybacks wallet), daily, from NEAR's BigQuery dataset. DefiLlama defines Intents revenue as the NEAR swept into these wallets.
Source: NEAR public BigQuery dataset, DefiLlama adapter source, author's calculations · Query: sql/revenue_wallets_daily.sql · Added after the pre-registration
Reported volume against its model: no detectable loss, but the size depends on the comparison venues
7-day average of daily Intents volume, actual and predicted. The model is built from rival venues and NEAR and ZEC spot volume, fitted 1 Jun – 7 Sep, so it shows what the market alone would have produced. Shaded: the pre-registered 28-day window. The chart uses the narrower set of comparison venues; with the set as pre-registered the 28-day estimate is (deviation 1).
Source: DefiLlama, CoinGecko, author's calculations · Code: src/build.py, event_stat()
What the freeze bears got right and wrong
The engine: Intents volume and revenue since launch
Source: DefiLlama, author's calculations · Code: src/build.py, long-term view in main() · Added after the pre-registration
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Tripwires: when the thesis is wrong
| Signal | Latest 28d | Limit | Status |
|---|
Recomputed on every build. Limits come from the calm period before either event.
Predictions: what the thesis says happens next
| Call | Resolves | If it fails |
|---|---|---|
| P1 · Flow stays durable.Every 28-day window ending 8 Dec 2026 – 31 Mar 2027 stays above the order-flow limit (abnormal volume above −29.5%). | 31 Mar 2027 | Durability fails |
| P2 · Growth comes back.A new monthly volume record, above September 2026's $4.80B, in December 2026 – March 2027. | 31 Mar 2027 | Growth fails; go neutral |
| P3 · Price holds.Every 28-day window ending 8 Dec 2026 – 31 Mar 2027 keeps the take rate above 13.6 bps. | 31 Mar 2027 | Revenue per dollar falls |
Scored only on data after 10 Nov 2026. The current file is RATING.md (rating, rule and five calls, timestamped 11 Nov 2026). The first version, timestamped in Bitcoin block 975308, is kept unchanged in archive/; make test checks both proofs.
Onchain: established accounts pulled back; new and heavy users did not
intents.near transactions, per daySource: NEAR public BigQuery dataset, author's calculations · Query: sql/intents_signers_daily.sql · Code: src/build.py, H5 in main()
Against the full calm period the result is ordinary; against the summer it is weak
The same test run at every calm-period date, – .
Source: DefiLlama, CoinGecko, author's calculations · Code: src/build.py, H1 placebo loop in main()
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Every large negative estimate uses 0x as a comparator
alternative specifications: donor sets, controls, event date and horizon. Not pre-registered.
Source: DefiLlama, CoinGecko, author's calculations · Code: src/build.py, robustness grid in main()
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Since the events, NEAR and ZEC holdings fell while everything else held
Indexed to 28 Sep = 1.0. Units rather than dollars, so price moves cannot pose as flows.
Source: DefiLlama, author's calculations · Code: src/build.py, balances()
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Networks paused after the exploit dipped, then recovered
Source: DefiLlama, author's calculations · Code: src/build.py, balances() and H3 in main()