Protocol Documentation
The IdentityRecord Protocol Specification
The standardized infrastructural protocol for converting offline business reality into machine-readable cryptographic trust for Artificial Intelligence engines.
Protocol Research & Synthesis
Technical Specification
01
The Hallucination Gap & System Objective
LLMs operate on a zero-trust model. Traditional Web2 marketing relies on rented, easily manipulated visibility, leading to AI hallucination and exclusion. The objective of the IdentityRecord Protocol is to establish a deterministic, cryptographically verifiable bridge between physical business operations and machine-readable data.
02
The 4-Layer Validation Node
The protocol processes entity data through four strict validation layers: Identity Definition, Operational Activity (Proof of Work), Decision Frameworks, and Credential Minting. Data that does not pass validation is excluded from the broadcast payload.
03
The Mint Layer (Safety & Ethics)
Offline credentials (licenses, insurance) are kept private. Each verified document is stamped with a full audit trail: time, reviewer, model, and what was extracted. The document stays private. Only the trust signal goes public. External chain anchoring is on the roadmap.
04
JSON-LD Broadcast Outcomes
Validated protocol data is compiled into strict JSON-LD schemas. This creates a continuous, machine-readable broadcast ledger that AI engines ingest directly, securing the entity's recommendation eligibility.