- MAI (MIMATIC) research overview
- Historical market behavior
- YearBull metric interpretation
- Market structure and supply
- Key risks and limits
- Primary sources and review scope
- MAI: Per-chain native issuance claim and Partial-liquidation mechanics
- MAI identity and collateral-vault model
- Per-chain native issuance claim
- Debt ceilings and peg context
- Partial-liquidation mechanics
- Risks and unknowns for MAI
- Key takeaways
- YearBull Rank on this page
MAI (MIMATIC) research overview
MAI (MIMATIC) is tracked by YearBull under the source identifier mimatic. Source categories place the asset in the Stablecoins universe, with additional labels including Stablecoins, USD Stablecoin, Polygon Ecosystem. Category labels describe market context; they do not prove project activity, adoption, or investment quality.
Market structure and supply
Observed market capitalization is about $11.62 million and reported 24 hour volume is about $9.5 thousand. That volume equals 0.08% of market capitalization in the dated snapshot. Current circulating supply is 11,863,768. Recorded total supply is 302,379,804. Circulating supply changed -57.0% across the available historical window. Reported volume and supply fields can change through source revisions, issuance, burns, migrations, or venue coverage.
Key risks and limits
Peg design, reserve quality, collateral liquidity, redemption access, issuer or protocol governance, and venue concentration require separate verification. Historical metrics describe the available YearBull record; they do not predict future returns. Contract addresses, network support, custody, and venue availability should be verified before use.
Primary sources and review scope
YearBull methodology | Official project website | Source repository. Identity, categories, supply, and historical market fields were reviewed from locally stored source records on 2026-09-12. The live analytical snapshot may be newer than this editorial review.
MAI: Per-chain native issuance claim and Partial-liquidation mechanics
MAI (MIMATIC) is most accurately interpreted from its verified project identity, published mechanics together with the applicable deployment context, while open risks remain distinct from confirmed facts.
MAI identity and collateral-vault model
QiDao documents MAI as a stablecoin backed by collateral locked in user-controlled vaults. In the MAI source record, MAI identity and collateral-vault model gives that statement its proper context. The corresponding evidence page, Stablecoin Economics, ties MAI (MIMATIC) to this source-defined setting. The record cannot turn the Chain-native issuance design into a forward-looking price claim. That limited reading matters because MAI faces collateral volatility, peg, oracle, liquidation, governance and liquidity risks.
QiDao documents MAI as natively created from collateral on each supported chain rather than simply bridged from one origin chain. This second MAI fact belongs under Per-chain native issuance claim, not under assumptions about price or adoption. Stablecoin Economics supports the stated relationship for MIMATIC. A reader can use it to distinguish Partial rather than full liquidation description from a matching ticker or an unsupported function claim. This evidence boundary matters while Supported chains, active contracts and wind-down status must be checked live before the information is relied upon.
Per-chain native issuance claim
The documentation describes debt ceilings and collateralization controls as mechanisms intended to manage MAI supply and peg conditions. For MAI (MIMATIC), this evidence develops the Debt ceilings and peg context layer of the article. The supporting record at Stablecoin Economics confirms the point at the recorded evidence level. It cannot establish all current parameters or interaction routes. Anyone applying the MAI mechanism must still match the relevant chain, interface, and current code path, particularly because MAI faces collateral volatility, peg, oracle, liquidation, governance and liquidity risks.
The first and third verified facts connect MAI identity with Chain-native issuance design. Their shared evidence boundary is practical: Stablecoin Economics and Stablecoin Economics describe that relationship, while the MAI participant must separately confirm changing implementation details. Together the sources still do not promise execution free from delay, cost, or loss.
Debt ceilings and peg context
QiDao documents partial liquidations when a vault falls below its liquidation ratio. Within the MAI source record, that point anchors Partial-liquidation mechanics. The relevant support comes from Liquidations, and the point should remain inside that evidence boundary. For MIMATIC, the fact explains Partial rather than full liquidation description but cannot establish universal access or a fixed economic consequence. That evidence boundary matters because Supported chains, active contracts and wind-down status must be checked live before the information is relied upon.
Read together, the second and fourth verified facts distinguish the role attributed to MIMATIC from the wider MAI system. The evidence in Stablecoin Economics and Liquidations grounds those specific connections. The cited links do not establish that ownership grants all rights, bypasses conditions, removes waits, or fixes parameters. The effective outcome follows the active MAI implementation.
Partial-liquidation mechanics
The current Mai Finance interface states that MAI is live on Base and Polygon and that legacy deployments are being wound down. This gives MAI (MIMATIC) the source record’s clearest source-backed reference. The record at Mai Finance is more reliable than depending on the MIMATIC symbol without its deployment context. For MAI, the checkpoint may be a contract, mint, repository, chain identifier, product page, or another explicit identity reference. It remains time-sensitive where MAI faces collateral volatility, peg, oracle, liquidation, governance and liquidity risks.
For MAI, the mechanical fact and identity checkpoint should be read together. Stablecoin Economics describes the former, while Mai Finance supports the latter. Using the right name with the wrong deployment still creates a false conclusion. Current official records should be used to check Explicit current/legacy-deployment status distinction before a user depends on that mechanism.
Risks and unknowns for MAI
MAI faces collateral volatility, peg, oracle, liquidation, governance and liquidity risks. Supported chains, active contracts and wind-down status must be checked live before the information is relied upon. Those source record boundaries apply directly to Explicit current/legacy-deployment status distinction. The MAI (MIMATIC) design may operate as documented while an individual user still encounters technical, operational, legal, liquidity, custody, or market loss.
A source-bound reading of MAI (MIMATIC) is evidence-led and conditional. Five verified MAI facts connect identity, selected mechanics, risks, and verification. For MIMATIC, 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
- QiDao documents MAI as a stablecoin backed by collateral locked in user-controlled vaults.
- QiDao documents MAI as natively created from collateral on each supported chain rather than simply bridged from one origin chain.
- The documentation describes debt ceilings and collateralization controls as mechanisms intended to manage MAI supply and peg conditions.
- QiDao documents partial liquidations when a vault falls below its liquidation ratio.
- The current Mai Finance interface states that MAI is live on Base and Polygon and that legacy deployments are being wound down.
YearBull Rank on this page
YearBull Rank data is not available at the moment for mimatic.
Rank change (reference points).
Reading rule: lower numbers mean higher placement.
- 7d window: current rank not available.
- 30d window: current rank not available.
YearBull Rank is an internal ordering on YearBull that positions a coin relative to the rest of the tracked universe. Lower values mean higher placement in the YearBull ordering. It is best read as relative context across time windows, not as a guarantee.
Risk framing: short bursts do not always translate into durable placement. If the curve whipsaws, treat the rank as fragile.
Liquidity posture: a steadier line can indicate steadier access. If the line drifts, liquidity may be gradually shifting.
Cycle placement: in rotations, improving rank can happen without price leadership. If both are flat, the coin may be tracking its peer basket.
Access context: one venue can dominate the profile in short windows. If rank can’t hold gains, it can be concentrated pressure.
