The current Layer2 ecosystem faces deep-rooted contradictions of 'security efficiency imbalance' and 'vague contribution value': a unified security strategy either leads to insufficient security redundancy for high-value scenarios (such as financial settlement) or imposes excessive verification costs on low-value scenarios (such as game interactions); at the same time, the contribution behaviors of users, nodes, and developers lack traceable evidence, and value distribution relies on subjective rules, resulting in ecological inefficiency of 'more work for less reward'. Caldera's core breakthrough lies in achieving dynamic adaptation of security resources through a 'scenario-based security scheduling network', and quantifying each behavior's value with a 'on-chain value contribution tracing system', upgrading Layer2 from a 'static security carrier' to an ecological hub that is 'securely schedulable, contribution traceable, and value fairly distributable'.

1. Scenario-based Security Scheduling Network: From 'Unified Security Strategy' to 'Dynamic Matching of Security Resources'

Traditional Layer2 adopts a 'one-size-fits-all' security architecture— all scenarios share the same number of verification nodes, proof mechanisms, and consensus rules, leading to security risks for financial-grade scenarios due to insufficient verification strength, while lightweight scenarios like games and social interactions bear extra gas costs due to redundant verification. Caldera's 'scenario-based security scheduling network' achieves flexible resource allocation based on 'dynamic security resource pool + scenario risk rating model + real-time scheduling algorithm', realizing 'high security assurance for high-risk scenarios and high efficiency at low cost for low-risk scenarios'.

At its core is the construction of a 'dynamic security resource pool': verification nodes are categorized into 'core security nodes' (pledging 1 million ERA, supporting ZK proofs), 'standard security nodes' (pledging 500,000 ERA, supporting fraud proofs), and 'lightweight security nodes' (pledging 100,000 $ERA, supporting simplified verification), forming a security resource library that can be called in real-time. When a scenario initiates a verification request, the scheduling network does not need to rebuild the node cluster but simply matches the corresponding type of nodes from the resource pool, with a resource mobilization response time controlled within 3 seconds. When a financial Rollup initiates a large settlement verification, 100 core security nodes respond within 500ms, improving efficiency by 8 times compared to the traditional fixed node architecture.

'Scenario Risk Rating Model' provides the basis for resource matching: scoring scenarios based on 'asset value, data sensitivity, interaction frequency' across three dimensions—cross-border financial scenarios are rated as 'high risk' due to high asset value (weight 0.4) and data sensitivity (weight 0.3), matching core security nodes + ZK proofs; game item transactions are rated as 'low risk' due to low asset value (weight 0.1) and high interaction frequency (weight 0.5), matching lightweight security nodes + simplified verification; enterprise supply chain scenarios are rated as 'medium risk' due to data sensitivity (weight 0.4) and moderate interaction frequency (weight 0.3), matching standard security nodes + hybrid proofs. A certain test showed that this model increased the attack cost for high-risk scenarios to $200 million (traditional scheme $100 million) while reducing verification costs for low-risk scenarios by 60%.

'Real-time Scheduling Algorithm' solves resource conflict issues: when multiple scenarios simultaneously request security resources (e.g., financial settlement and peak game times overlap), the algorithm dynamically ranks them by 'risk priority + resource occupation duration'—high-risk scenarios receive priority for core nodes, with occupation duration not exceeding 10 minutes (to avoid resource monopolization); low-risk scenarios may temporarily use idle standard nodes, automatically switching back to lightweight nodes once high-risk needs conclude. During a peak period in the ecosystem, the resource conflict rate between financial and game scenarios dropped from 35% in traditional schemes to 5%, with verification delays for both types of scenarios controlled within expected ranges.

2. On-chain Value Contribution Tracing System: From 'Subjective Distribution Rules' to 'Behavior Value Quantification and Confirmation'

Most Layer2's value distribution relies on 'fixed ratio distribution' (e.g., nodes receive 30%, developers 20%), with users' transaction behaviors, nodes' verification records, and developers' component calls lacking traceable on-chain certificates, leading to 'contributions being unquantifiable and value distribution being imbalanced'—a certain node providing additional verification for high-risk scenarios receives the same earnings as low-risk scenario nodes; a certain user’s high-frequency cross-chain transactions bring liquidity to the ecosystem but receive no corresponding rewards. Caldera's 'on-chain value contribution tracing system' addresses this by 'contributing behavior on-chain + standardized contribution certificates + value quantification algorithm', ensuring that every action generates an immutable on-chain record, allowing every contribution to be converted into distributable value.

'On-chain contribution behavior' enables full-process traceability: cross-chain transactions and staking operations by users, verification records and fault repairs by nodes, and component development and function iterations by developers are all recorded in real-time as 'on-chain contribution events', containing core information such as 'actor, behavior type, scenario attributes, timestamp', stored in Metalayer's tamper-proof database. For example, a node completing a high-risk scenario verification generates a 'verification contribution event' that records the node ID, verification duration, and error rate; a user completing a cross-chain transfer generates a 'transaction contribution event' recording the transfer amount, cross-chain link, and liquidity increment brought to the ecosystem. These events can be queried through a public API, ensuring full transparency of contribution behavior.

'Standardized Contribution Certificate (CC)' transforms behavior into certifiable assets: each time a valid contribution is completed, the system automatically generates a unique CC certificate, embedding 'contribution event hash, value calculation factors, income distribution ratios' within the certificate. CC certificates support on-chain transfer (e.g., developers can transfer CC certificates of component calls to team members) and pledging (e.g., users can pledge CC certificates to obtain $ERA loans), realizing the 'assetization of contribution value'. A developer's cross-chain settlement component was called 10,000 times, earning 10,000 'development CC certificates', each corresponding to a 0.1 $ERA share; the developer was able to realize $5,000 in earnings in advance by transferring part of the certificates, addressing the pain point of long traditional profit-sharing cycles.

'Value Quantification Algorithm' ensures fairness in distribution: the algorithm calculates value based on 'scenario risk weight, behavior impact range, duration of contribution' from CC certificates: the verification contribution value for high-risk scenarios = basic verification income × risk weight (high risk 1.8, medium risk 1.2, low risk 0.6); the component contribution value for developers = number of calls × scenario value coefficient (financial scenario 1.5, game scenario 0.8) × user satisfaction; the transaction contribution value for users = transaction amount × cross-chain frequency × liquidity contribution coefficient. During a certain period, nodes providing verification for high-risk financial scenarios achieve 2.3 times the value earnings of low-risk scenario nodes; the top 10% of developers in terms of call volume receive 60% of the development value share, truly implementing 'reward for excellence'.

3. Commercial Implementation: Releasing Scenario Value through Security Scheduling and Contribution Tracing

Caldera's innovations have been validated in scenarios such as finance and the Internet of Things, addressing the pain points of traditional Layer2 in 'balancing security efficiency' and 'quantifying contribution value', forming a replicable business loop.

In the cross-border financial scenario: a certain international payment institution accesses the scenario-based security scheduling network, matching 200 core security nodes + ZK proofs for 'large cross-border settlements' (high risk), ensuring absolute safety of fund transfers, with attack costs rising from the traditional solution of $80 million to $250 million; matching 50 lightweight security nodes + simplified verification for 'small retail payments' (low risk), reducing the transaction cost per transaction from $1.2 to $0.3, with a threefold efficiency increase. At the same time, the value contribution tracing system proportionally distributes payment profits to core nodes (40% for high-risk contribution), lightweight nodes (20%), payment data providers (30%), and ecological funds (10%), resulting in an average monthly income of $500,000 $ERA for core nodes, and a 70% increase in enthusiasm for data providers (such as partner banks), with the cross-border payment scale of institutions growing by 200% in three months.

In the IoT data sharing scenario: a smart agriculture platform matches lightweight security nodes through scenario-based security scheduling for 'linking farmland sensor data' (low risk, low data value but high frequency), reducing the verification cost from $0.5 to $0.08 per 1,000 pieces of data; matching standard security nodes for 'agricultural product traceability certification' (medium risk, data related to food safety) to ensure that certification results are tamper-proof. At the same time, the value contribution tracing system generates 'data contribution CC certificates' for sensor owners (providing data) and 'verification contribution CC certificates' for validating nodes, with the platform distributing 60% of data service fees based on CC certificate value—certain farmers providing 100,000 pieces of farmland data earn $3,000 in ERA per month; a certain verification node participating in traceability certification earns $12,000 in ERA per month, forming a positive cycle of 'data sharing - security verification - value distribution', with the number of sensors on the platform increasing from 10,000 to 50,000.

In summary, Caldera's breakthrough is not merely in single technology optimization, but in directly addressing the core pain points of Layer2 regarding 'misallocation of security resources' and 'vague contribution value': the scenario-based security scheduling network allows for precise matching of security resources to scenario demands, ensuring the security baseline for high-value scenarios while lowering the usage costs for lightweight scenarios; the on-chain value contribution tracing system ensures that every action receives quantifiable value recognition, activating the participation enthusiasm of all roles in the ecosystem. This dual-driven model of 'securely schedulable and contribution traceable' upgrades Caldera from a 'Layer2 scaling tool' to a 'commercial infrastructure that balances security efficiency and fair distribution', providing the industry with a new paradigm from 'function-oriented' to 'value and security collaborative orientation'.