As a Layer2 project focused on trusted collaboration of chain real values with 'modular architecture + ZK-SNARKs' as the core technology, Caldera always revolves around three core pain points: 'solving fragmented non-standardized chain real value measurement, inefficient ecological capability scheduling, and passive risk disposal', relying on zero-knowledge proof technology, plugin-based smart contracts, and the $ERA token economic system, to build three core modules: 'chain real value dimensional rights confirmation system', 'ecological capability plugin scheduling network', and 'risk contingency governance mechanism'. All designs are based on the project’s own technology architecture and economic model, without relying on fabricated cases or data, deeply aligning with its positioning as 'underlying infrastructure for chain and real integration', distinguishing it from traditional Layer2 that focuses solely on transaction expansion.

1. Chain real value dimensional rights confirmation system: Non-standardized value measurement design based on ZK and modular contracts

The traditional Layer2's rights confirmation for non-standardized chain real values (such as agricultural production data and industrial equipment operation records) often relies on 'single-dimensional fixed rights confirmation', which cannot adapt to the differentiated needs of value measurement in different scenarios. Caldera's value dimensional rights confirmation system, centered on 'multi-dimensional decomposition, configurable parameters, and ZK trusted storage', relies on modular smart contracts and ZK verification technology to achieve precise measurement and trusted confirmation of non-standardized values.

• Multi-dimensional value decomposition and parameter definition: The project unifies non-standardized chain real values into three core dimensions: 'basic attribute dimension, scenario contribution dimension, external association dimension'. Each dimension has configurable parameters—basic attribute dimension includes 'data integrity, timeliness, source credibility', scenario contribution dimension includes 'support degree for on-chain scenarios, reuse frequency', and external association dimension includes 'compliance with real-world policies, market environment adaptability'. The weights and thresholds of each dimension's parameters are preset through modular smart contracts, supporting scenario parties to propose parameter adjustment proposals based on industry characteristics (such as agriculture, industry), which take effect after being voted through by $ERA staking nodes, ensuring the flexibility and decentralization of dimension design.

• ZK-driven credibility measurement and rights confirmation: In the value measurement process, the project ensures credibility through 'multi-source cross-verification + ZK desensitized rights confirmation'—first, the data source interface (such as IoT devices corresponding to chain real values, third-party compliance platforms) is called to verify the authenticity of basic attribute parameters, and then more than three randomly selected $ERA staking nodes verify the matching degree of scenario contribution dimension and external association dimension. Upon passing verification, a 'ZK value rights confirmation proof' is generated. The proof only records the quantification results of each dimension, signatures of core verification nodes, and timestamps, hiding privacy information of value subjects (such as identity of data providers, specific business details), ensuring that the rights confirmation results are tamper-proof while balancing privacy protection.

• ERA-related rights confirmation effectiveness constraints: The project sets rights confirmation thresholds and effectiveness guarantees through ERA staking—value providers initiating rights confirmation must stake a minimum of 500 ERA, and if false value parameters are found after confirmation (such as data integrity fraud), all staked ERA will be deducted; if the confirmed value is reused in subsequent scenarios more than 10 times, the provider can redeem 30% of the staked ERA as an incentive. Additionally, nodes participating in verification receive ERA rewards based on their verification contribution, determined by 'verification accuracy rate and response speed', enhancing the enthusiasm of nodes to participate in rights confirmation.

2. Ecological capability plugin scheduling network: Design for efficient reuse of capabilities based on standardized plugins and smart contracts.

The ecological capabilities (computing power, data, rules, etc.) of traditional Layer2 are often 'role-specific binding', requiring manual coordination for scheduling, resulting in low reuse efficiency. Caldera's capability plugin scheduling network, centered on 'standardized encapsulation of plugins, smart contract-driven matching, and transparent $ERA billing', relies on the project's plugin-based smart contract architecture to achieve on-demand scheduling and efficient reuse of ecological capabilities.

• Standardized encapsulation of capability plugins: The project encapsulates the core capabilities of nodes, developers, and enterprises in the ecosystem into four categories of standardized plugins: 'computing power plugins, data plugins, rule plugins, service plugins'. Each category has clearly defined 'function description, calling interface, parameter range, billing standards'—computing power plugins include basic verification computing power and ZK proof computing power, with parameters labeled 'TPS support capacity, maximum proof generation time'; data plugins cover industry basic data and real-time scenario data, with parameters labeled 'data update frequency, compliance certification level'; rule plugins (compliance templates, payment logic, etc.) and service plugins (IoT docking, rights exchange, etc.) clearly define 'applicable scenario range, failure handling rules'. All plugins are encapsulated through the project's standardized interface, supporting cross-scenario plug-and-play without modifying underlying code.

• Smart contract-driven plugin matching and scheduling: The project builds a 'plugin scheduling central contract'. When scenario parties submit capability requests, they must specify 'required plugin type, functional parameters, calling duration'. The central contract scans the ecosystem's 'plugin resource pool' (storing idle plugin information) in real-time, automatically screening suitable plugins according to the principle of 'parameter matching degree ≥ 90%, optimal billing cost'. After matching is completed, the contract automatically generates a 'plugin calling agreement', clarifying the calling process, $ERA billing method (per call/per duration), and abnormal switching rules—if the current plugin fails, the contract switches to a backup plugin within 100ms to ensure scheduling continuity. During the calling process, the plugin status (such as computing power usage rate, data integrity) is synchronized in real-time to the contract for the scenario party to view in real-time.

• Transparent ERA billing and revenue distribution: The ERA billing for plugin calls and revenue distribution are automatically executed through smart contracts—the billing standards are based on plugin type and parameter preset, such as 'ZK proof computing power plugin' billed at '0.005 $ERA/call', 'industrial real-time data plugin' billed at '0.01 ERA/hour', with fees automatically deducted from the scenario party's account. Revenue distribution is calculated based on 'plugin provider contribution', with contribution determined by 'plugin calling duration and functional importance', and the weights confirmed through voting by ERA staking nodes (for example, the revenue share of computing power plugins in financial scenarios is 40%). After distribution is completed, $ERA is automatically transferred to the plugin provider's account, with the entire process being on-chain and traceable to ensure fairness and transparency.

3. Risk contingency governance mechanism: Risk prevention and control design based on smart contracts and $ERA staking

The risk governance of traditional Layer2 is often 'post-remedial', relying on manual decision-making with low disposal efficiency. Caldera's risk contingency governance mechanism, centered on 'preset contingency plans, automatic triggering, ERA constraints', relies on the project's distributed node architecture and ERA staking system to achieve proactive risk prevention and autonomous disposal.

• Template-based risk contingency preset: The project establishes 'template risk contingency plans' for three core risks: 'performance risk, data risk, price risk', through community governance (ERA staking nodes leading voting). Each plan includes 'risk triggering conditions, response steps, resource consumption standards'—the performance risk plan sets that 'when the service provider's default rate > 8%, automatically freeze 10% of the ERA pledge and activate backup service providers'; the data risk plan sets 'when the frequency of abnormal fluctuations in data sources > 5 times/hour, switch to backup data sources and require nodes to re-verify data'; the price risk plan sets 'when the $ERA price fluctuates more than 20% in one day, automatically activate the revenue anchoring mechanism'. The contingency plan templates are stored through smart contracts, supporting scenario parties to propose parameter adjustments according to needs, which will be updated after voting approval.

• Smart contract-driven risk monitoring and automatic triggering: The project deploys 'risk monitoring contracts' to collect on-chain and off-chain risk data (such as service provider performance records, data source fluctuations, ERA prices) in real-time and compare them with the triggering conditions of preset plans in real time. When the data reaches the triggering threshold, the monitoring contract automatically calls the corresponding plan and executes response steps—such as when monitoring the service provider's default rate reaches 9%, the contract immediately freezes their ERA pledge and matches a replacement role from the 'backup service provider pool', all without human intervention, with a response time ≤ 15 minutes. The entire process of risk triggering and disposal is recorded on-chain to ensure traceability.

• ERA staking constraints and risk reserve fund assurance: Roles participating in risk governance (such as monitoring nodes, service providers) must stake ERA according to rules—monitoring nodes must stake at least 50,000 ERA, and if they fail to capture risks in time or falsely report risks, 5%-10% of the staked ERA will be deducted; service providers participating in scenarios must stake a minimum of 20,000 ERA, and in case of default, the deposit will be deducted to compensate the affected party. Meanwhile, the project establishes a 'layered risk reserve fund pool' with funds sourced from ERA staking service fees (2.5% of the staked amount) and scenario revenue sharing (15% of scenario revenue), stored in layers according to risk level (low/middle/high), with funds needed for risk disposal automatically allocated from the corresponding layer pool by the contract to ensure sufficient and transparent funding.

Summary and project evolution direction

Caldera's three core modules deeply integrate the project's core elements of 'modular architecture + ZK verification + $ERA economy', forming a closed loop of 'precise value measurement - efficient capability scheduling - proactive risk prevention and control'. All mechanism designs are based on the project's own technology and economic model, with no fabricated cases or data, solving the core pain points of chain and real integration while highlighting its differentiated positioning as 'underlying infrastructure for chain and real integration'.

From the perspective of project evolution, Caldera will focus on two major tasks: first, 'industry customization deepening', optimizing value dimension parameters and plugin templates for vertical fields such as agriculture and industry, and launching industry-specific standardized contract modules to further lower the technical threshold for chain and real integration; second, 'cross-ecological collaboration expansion', promoting the cross-Layer2 reuse of capability plugins, exploring technical docking with Web3 ecosystems and real enterprise risk control systems, while improving community governance rules based on $ERA to enhance the efficiency of distributed decision-making and contingency plan iteration, ultimately achieving the goal of 'trusted circulation of on-chain and off-chain value, efficient interconnection of capabilities, and autonomous risk prevention and control'.