A computerized system configured to process and regulate oracle resolution within a prediction market distributed network to improve resolution integrity through hardware attestation, resolver selection accuracy through influence-weighted trust scoring, and resolution provenance verifiability through cryptographically sealed attestation tokens, comprising:
- one or more processors including at least one processor implementing a Trusted Execution Environment (TEE) providing hardware-isolated code and data confidentiality;
- and
- a non-transitory computer-readable memory storing instructions that, when executed by the one or more processors, cause the system to perform:
- (a) aggregating, by a Resolver Influence Aggregator, Resolver Influence Metrics comprising Resolution Accuracy Scores, Governance Participation Metrics, and Market Integrity Alignment Metrics received from one or more blockchain ledgers and authorized data providers, wherein the Resolver Influence Aggregator:
- replaces direct resolver identifiers with pseudonymous identifiers using SHA-256 cryptographic hashing with a system-controlled salt prior to storage or transmission of any metric data,
- authenticates data origin using digital signatures or Decentralized Identifiers (DIDs) verified against a system trust registry,
- applies min-max normalization to produce normalized metric values on a zero-to-one scale, and
- classifies normalized metric vectors using k-means clustering to produce cluster assignments used in resolution weight computation;
- (b) computing, by an Influence Trust Scoring Engine, an Influence Trust Score for each resolver by applying the weighted aggregation formula Influence_Trust_Score=(w_a×Resolution_Accuracy_Score)+(w_g×Governance_Participation_Metric)+(w_m×Market_Integrity_Alignment_Metric), and:
- storing the computed Influence Trust Score in the TEE's sealed storage as a binding parameter,
- programmatically enforcing the binding parameter during resolution validation such that submissions from resolvers with Influence Trust Scores below a configured minimum threshold or with resolution weights deviating from the stored Influence Trust Score are rejected prior to entry into resolution consensus, retrieving the stored Influence Trust Score during resolution validation through a deterministic lookup operation performed prior to execution of the resolution consensus, and
- assigning a resolution weight in the range of 0.05 to 1.5 based on the Influence Trust Score, a trust level category of LOW, MEDIUM, HIGH, or EXPERT output by a gradient-boosted tree classifier, and a cluster-specific multiplier, wherein the weighting coefficients w_a, w_g, and w_m are updated through an Accuracy Feedback Loop that, after each completed resolution cycle, receives resolution outcome records, computes a resolution accuracy error metric, executes a gradient-descent optimization pass over the weight coefficients, and updates model parameters of the gradient-boosted tree classifier using verified ground-truth outcome data without requiring manual administrator intervention;
- (c) processing, by a TEE Resolution Processor operating within a hardware-isolated Trusted Execution Environment initialized with a verified Enclave Measurement and a strictly increasing monotonic counter, resolver submissions for an active prediction market, wherein the TEE Resolution Processor:
- initializes a hardware-isolated enclave, computes the Enclave Measurement as a SHA-256 hash of loaded code and data pages, generates a remote attestation report signed by the hardware manufacturer's attestation key, reads the current monotonic counter value, and verifies that the monotonic counter value is strictly greater than the value recorded for the previous resolution cycle,
- validates each resolver submission against five predefined resolution rules enforced within the enclave comprising verification of resolver pseudonymous identifier registration, resolution weight consistency with the stored Influence Trust Score values retrieved by deterministic lookup, outcome vote validity against enumerated market options, digital signature verification against the resolver's registered public key, and absence of a prior submission from the same pseudonymous identifier in the active resolution cycle,
- applies a resolution consensus selected from Weighted Majority, Supermajority Threshold, and Tiered Escalation with human arbitration fallback, all executing within the TEE,
- concurrently executes, on the resolver submission stream prior to resolution consensus:
- an isolation forest algorithm that assigns anomaly scores based on deviation from historical resolver submission patterns, and
- a DBSCAN algorithm that identifies density-based clusters of correlated resolver submissions and classifies submissions outside established population clusters as potentially coordinated or sybil-originated,
- wherein submissions identified as anomalous are quarantined within the enclave and excluded from consensus computation, and
- generates a sealed Provenance Token comprising six fields:
- (i) INPUT_HASH:
- a SHA-256 hash of concatenated resolver submissions admitted to consensus;
- (ii) MODEL_HASH:
- a SHA-256 hash of current Influence Trust Scoring model parameters;
- (iii) DECISION_HASH:
- a SHA-256 hash of the resolution decision record;
- (iv) ENCLAVE_MEASUREMENT:
- the MRENCLAVE value computed at enclave initialization;
- (v) COUNTER_VALUE:
- the current monotonic counter value incremented after Provenance Token generation;
- and (vi) SIGNATURE:
- an ECDSA signature computed within the enclave over the concatenated hash chain SHA-256(INPUT_HASH∥MODEL_HASH∥DECISION_HASH∥ENCLAVE_MEASUREMENT∥COUNTER_VALUE) using the enclave's attestation signing key;
- (d) verifying, by an Attestation and Settlement Module, the Provenance Token by confirming Enclave Measurement consistency with the remote attestation report, verifying the ECDSA signature over the concatenated hash chain, and confirming the monotonic counter value exceeds the previous resolution cycle's value, and upon successful verification:
- compiling settlement instructions computing payout amounts for market participants, publishing the resolution decision record and Provenance Token to a blockchain public ledger, recording a blockchain-generated timestamp derived from the block header, storing all records in append-only Immutable Storage using SHA-256 cryptographic hashing such that each record's hash is incorporated into a subsequent block header making undetected alteration computationally infeasible, and encrypting internal audit logs using asymmetric encryption with separation from published public records;
- and
- (e) delivering, by a Regulatory Compliance Output Layer, the resolution decision record and Provenance Token through a Compliance Application Programming Interface (Compliance API) exposing three defined RESTful endpoints comprising a GET/resolution/decisions/{market_id} endpoint, a POST/resolution/verify/{market_id} endpoint, and a GET/resolution/audit/{market_id} endpoint returning five supplementary transparency records comprising eligible resolver count, accepted submission count, rejected submission count, quarantined submission count, and weighted participation rate, with API key authentication for all endpoints, wherein stored records are protected using AES-256 encryption and transmitted records are protected using TLS 1.3 encryption with message authentication code verification.