Staked USDai: USDai staking and share price and Yield-source disclosures
Staked USDai (SUSDAI) should first be read through its evidenced project identity, cited system links and the relevant chain or deployment context, while open risks remain distinct from confirmed facts.
sUSDai identity
USD.AI describes sUSDai as a yield-bearing ERC-4626 vault token. In the Staked USDai source record, sUSDai identity gives that statement its proper context. This cited document, USD.AI technical protocol overview, ties Staked USDai (SUSDAI) to the cited project setting. It does not recast the ERC-4626 vault share into an expected market outcome. This scoped interpretation is important because USD.AI states that sUSDai is not a stablecoin and can have redemption periods.
USD.AI states that users stake USDai to receive sUSDai at a deposit share price. This second Staked USDai fact belongs under USDai staking and share price, not under assumptions about price or adoption. USD.AI technical protocol overview and Staked USDai supports the stated relationship for SUSDAI. A reader can use it to distinguish USDai on-ramp from similarly labelled assets and unsupported role claims. That distinction remains important while Yield and redemption depend on protocol lending, liquidity and smart-contract conditions.
USDai staking and share price
USD.AI documents redemption of sUSDai for USDai at the current redemption share price. For Staked USDai (SUSDAI), this evidence develops the Vault redemption layer of the article. The supporting record at USD.AI technical protocol overview backs the statement within the research boundary. Not every current setting or user route follows from it. Anyone applying the Staked USDai process must still check the relevant chain, interface, and current deployment, particularly because USD.AI states that sUSDai is not a stablecoin and can have redemption periods.
The first and third verified facts connect Staked USDai identity with ERC-4626 vault share. Their shared evidence boundary is practical: USD.AI technical protocol overview and USD.AI technical protocol overview describe that relationship, while the Staked USDai participant must verify changing operational settings independently. Together the sources still do not promise execution free from delay, cost, or loss.
Vault redemption
USD.AI distinguishes sUSDai from USDai by describing sUSDai as a free-floating share token. Within the Staked USDai source record, that point anchors Yield-source disclosures. The relevant support comes from USD.AI technical protocol overview and USD.AI documentation, and the assertion must retain its cited boundary. For SUSDAI, the fact explains USDai on-ramp but cannot establish universal access or a fixed economic consequence. This limitation is material because Yield and redemption depend on protocol lending, liquidity and smart-contract conditions.
Read together, the second and fourth verified facts distinguish the role attributed to SUSDAI from the wider Staked USDai system. The evidence in USD.AI technical protocol overview and Staked USDai and USD.AI technical protocol overview and USD.AI documentation corroborates these defined relationships. Holding alone does not follow from this record as proof of every right, open eligibility, immediate access, or immutable settings. The real-world effect follows the current Staked USDai implementation.
Yield-source disclosures
USD.AI attributes sUSDai yield sources to the protocol's described lending and emissions mechanisms. This gives Staked USDai (SUSDAI) the source record’s most concrete identity checkpoint. The record at USD.AI technical protocol overview and Staked USDai gives better verification than the SUSDAI market label alone. For Staked USDai, the checkpoint may be a contract, mint, repository, chain identifier, product page, or another explicit identity reference. It remains time-sensitive where USD.AI states that sUSDai is not a stablecoin and can have redemption periods.
For Staked USDai, the mechanism claim and deployment check belong in one reading. USD.AI technical protocol overview describes the former, while USD.AI technical protocol overview and Staked USDai supports the latter. Correct naming alone cannot correct a mismatch in deployment. The latest first-party material should validate GPU-collateralized lending disclosure before a user depends on that mechanism.
Risks and unknowns for Staked USDai
USD.AI states that sUSDai is not a stablecoin and can have redemption periods. Yield and redemption depend on protocol lending, liquidity and smart-contract conditions. Those source record boundaries apply directly to GPU-collateralized lending disclosure. The Staked USDai (SUSDAI) design may operate as documented while an individual user still encounters technical, operational, legal, liquidity, custody, or market loss.
The supportable account of Staked USDai (SUSDAI) is evidence-led and conditional. Five verified Staked USDai facts connect identity, selected mechanics, risks, and verification. For SUSDAI, time-sensitive addresses, parameters, legal terms, integrations, custody routes, and interfaces require renewed official confirmation. The source record supports neither a market forecast nor protection against technical or financial loss.
Key takeaways
- USD.AI describes sUSDai as a yield-bearing ERC-4626 vault token.
- USD.AI states that users stake USDai to receive sUSDai at a deposit share price.
- USD.AI documents redemption of sUSDai for USDai at the current redemption share price.
- USD.AI distinguishes sUSDai from USDai by describing sUSDai as a free-floating share token.
- USD.AI attributes sUSDai yield sources to the protocol's described lending and emissions mechanisms.
YearBull Rank context
Current YearBull Rank for susdai: #4687.
Rank movement (time windows).
Reading rule: lower numbers mean higher placement.
- 7d window (2026-09-29): #7201 → #4687 (up by 2514).
- 30d window (2026-09-13): #9000 → #4687 (up by 4313).
YearBull Rank is an internal ordering on YearBull that positions a coin relative to the rest of the tracked universe. Lower rank numbers correspond to stronger relative placement. It is best read as relative context across time windows, not as a guarantee.
Rotation context: If the line is range-bound, treat changes as relative, not absolute.
Execution context: If rank holds gains, the footprint is likely supporting the move.
Risk view: If the last month is chaotic, widen the lookback before concluding.
Liquidity framing: If the curve jumps, check whether the cohort moved too (relative effects).

