AI-IDOS Module
AI and IDOS Module
Layer 9 Off-Chain Compliance Intelligence · Module-Aware IDOS Scoring · Wallet Profiling · Investor Targeting · Staking Gates
Layer 9 of the platform's architecture — the commercial intelligence engine that converts the platform's technical infrastructure into an active issuer acquisition pipeline and investor targeting system across all three production modules: Equities (Module 1), Real Estate (Module 2), and CORECM — Carbon Ore, Rare Earth, and Critical Minerals (Module 3). This page expands on Whitepaper V8 Section 9 with module-specific scoring formulas, pipeline architecture, NLP target phrases, and staking-tier access requirements.
Scope: The AI Module operates exclusively at the pre-onboarding discovery and targeting layer. It does not alter or bypass any Transfer Hook security controls. All data sources are publicly available (SEC EDGAR for Module 1; SEC REIT filings and county records for Module 2; USGS, DOE, and Federal Register feeds for Module 3; OTC Markets Group; on-chain Solana data). No proprietary, non-public, or personally identifiable data is accessed without explicit consent.
Table of Contents
Module Overview
Position in the Platform Stack
Module 1 — Equities IDOS Pipeline
Module 2 — Real Estate IDOS Pipeline
Module 3 — CORECM IDOS Pipeline
Composite IDOS Score Architecture
Outreach Pathway Multipliers
Dynamic Priority Queue
Investor-Side Wallet Profiling
Launch Readiness Score
Staking Tier Access Gates
Per-Operation Token Burns
Data Moat and Competitive Defensibility
Performance Specifications
Regulatory and Privacy Considerations
1. Module Overview
The AI Module is the platform's commercial intelligence overlay. It solves two problems simultaneously across all three production modules.
Issuer acquisition. Which issuers across Equities, Real Estate, and CORECM are most ready for tokenization right now? The module generates a continuously refreshed Issuer Distress and Opportunity Score (IDOS) for every entity in each module's target universe, enabling algorithmic prioritization of outreach — processing hundreds of issuers in parallel without proportional headcount growth.
Module 1 — Equities
~15,000 OTC-listed companies plus NASDAQ, AMEX, TSX, and global exchange-listed equities
SEC EDGAR, OTC Markets Group
Module 2 — Real Estate
Single-asset commercial properties, multifamily portfolios, real-estate funds with distress signals
SEC REIT filings, county records, MLS data, environmental databases
Module 3 — CORECM
Mineral basins, mining concessions, rare-earth operations
USGS Critical Minerals List, DOE Critical Materials Strategy, Federal Register, county mineral-rights records
Investor targeting. Which verified wallets on Solana are most likely to participate in the next ST22 offering — across Reg D (US accredited), Reg S (non-US), and Reg CF (US retail) eligibility profiles? The module profiles on-chain wallet behavior and targets outreach to wallets matching the offering's eligibility criteria.
What the AI Module Is
Purpose
Module-aware issuer acquisition pipeline + investor targeting for ST22 offerings
Module scope
Module 1, Module 2, and Module 3 — separate IDOS pipelines per module
Data sources
All public — SEC EDGAR, USGS, DOE, OTC Markets Group, county records, Solana on-chain data
Output
Module-specific IDOS scores, ranked priority queues per module, investor wallet profiles
Layer
Layer 9 — off-chain commercial intelligence overlay
Enforcement
None — the module does not participate in Transfer Hook controls
Access
Gated behind GROO staking tiers
Burns
Per-operation GROO burns create deflationary pressure
What the AI Module Is NOT
Not part of compliance enforcement — Transfer Hook Controls 1–42 operate independently and uniformly across all three modules.
Not a trading algorithm — does not execute or recommend trades.
Not a financial advisor — produces scoring data, not investment advice.
Not accessing non-public data — all sources are publicly available by design.
2. Position in the Platform Stack
Each module-specific pipeline shares its Layer 6 oracle data with Layer 2 enforcement controls. Module 1's EDGAR pipeline feeds both Control IV-08 (issuer eligibility) at Layer 2 and IDOS scoring at Layer 9. Module 2's NAV oracle pipeline feeds both CB-21 (NAV-deviation circuit breaker) at Layer 2 and IDOS-RealEstate scoring at Layer 9. Module 3's Classification oracle pipeline feeds both CV-04 / REG-42 (federal-action freeze coordination) at Layer 2 and IDOS-CORECM scoring at Layer 9. The pipelines are shared; the consumers are independent.
3. Module 1 — Equities IDOS Pipeline
3.1 SEC EDGAR Integration
SEC EDGAR is the authoritative public record for U.S. registered and reporting companies. For Module 1 IDOS scoring, EDGAR functions as a real-time issuer distress signal monitor.
efts.sec.gov — Full-Text Search API
Distress language NLP scan across MD&A filings
Real-time on each new filing
data.sec.gov/submissions/ — Filing History
Form D, 8-K, 10-K indexing per CIK
Event-driven on new submission
data.sec.gov/api/xbrl/ — Structured Financials
Financial health and liquidity ratio scoring
Quarterly on 10-K/10-Q
EDGAR RSS Feed
New filing notification pipeline
Real-time continuous monitoring
3.2 Filing Type Usage
Form D
Reg D registration verification
Capital-raise timing and urgency scoring
10-K / 10-Q
Current information status
Liquidity Distress Index NLP scan
Form 8-K
Regulatory action detection
Real-time distress trigger alerts
DEF 14A
Active SEC reporting verification
Shareholder count extraction
15c2-11 status
Trading eligibility
Tier degradation scoring
3.3 Liquidity Distress Index (LDI) — NLP Pipeline
10-K / 10-Q MD&A sections are scanned with weighted phrase matching and normalized to a 0–100 LDI scale.
HIGH (2.0x)
"no established trading market exists" · "shareholders may have difficulty selling"
HIGH (2.0x)
"limited or no market maker activity" · "no assurance that a liquid market will develop"
MEDIUM (1.5x)
"thin trading volume" · "limited trading market" · "no broker-dealer has agreed to make a market"
INDICATOR (1.0x)
"OTC Markets" · "Pink Sheets" · "15c2-11" · "delisted" · "trading was suspended"
3.4 8-K Trigger Alert System
1.03
Bankruptcy or receivership filing
0.95
Urgent — shareholder protection window. Immediate outreach.
4.02
Non-reliance on prior financial statements
0.90
High priority — financial restatement distress
4.01
Changes in certifying accountant
0.85
High priority — audit/leadership uncertainty
2.04
Triggering events for debt acceleration
0.80
High — debt covenant / liquidity stress
5.02
Departure / appointment of officers
0.65
Medium — board restructuring; monitor follow-on filings
2.01
Completion of acquisition / disposition
0.50
Medium — corporate restructuring signal
5.03
Amendments to articles of incorporation
0.40
Low-medium — governance change
3.5 OTC Markets Tier Degradation
Downward tier movement is the most actionable signal for Module 1. The current OTC Markets tier structure is OTCQX → OTCQB → OTCID → Pink Limited → Pink No Information → Grey Market → Expert Market.
OTCQB → OTCID
Medium — early distress
Standard nurture sequence
OTCID → Pink Limited
High — liquidity degrading
Accelerated outreach
Pink Limited → Pink No Information
Very high — approaching dark
Urgent outreach
Pink → Grey Market / Dark
Critical — zero liquidity
Immediate outreach (30-day window)
Expert Market designation
Critical — retail access revoked
Same
3.6 Module 1 IDOS Composite Weights
Liquidity Distress Index (LDI)
EDGAR 10-K / 10-Q NLP
0.22
Per new filing
Tier Degradation Score
OTC Markets
0.18
Daily
Recovery Probability Score (RPS)
OTC Markets
0.18
Daily
Time Since Last Trade
OTC Markets
0.12
Daily
Shareholder Count (log-normalized)
EDGAR DEF 14A
0.12
Annual / on new filing
8-K Trigger Score
EDGAR RSS
0.10
Real-time
Form D Urgency Score
EDGAR Form D
0.08
Per new filing
TOTAL
1.00
The Recovery Probability Score combines price decay, volume decay, and trading inactivity:
4. Module 2 — Real Estate IDOS Pipeline
The Module 2 IDOS pipeline scores commercial properties, multifamily assets, real-estate funds, and basin-attached real-property assets for tokenization readiness.
4.1 Data Sources
SEC REIT filings (10-K, 10-Q, 8-K)
Public REITs and registered real-estate funds
EDGAR RSS + EFTS daily batch
County recorder filings
Title transfers, liens, foreclosure notices, tax delinquencies
County-by-county scrapers (daily)
MLS data (where licensed)
Listing duration, price reductions, withdrawal patterns
Per MLS license cadence
Environmental databases (EPA, state DEPs)
Phase I / Phase II flags, remediation orders
Federal RSS + state portal polling
CMBS and CRE-CLO surveillance feeds
Loan-default and watchlist signals
Trustee report cadence
Real-estate market indices
Cap rates, regional vacancy, transaction volume
Quarterly data refreshes
4.2 Property Distress Signals
Lis pendens or foreclosure notice
Loan-default distress, owner motivated
High (0.20)
Listing duration > 12 months without sale
Pricing-mismatch with market
High (0.18)
Multiple price reductions on listing
Owner motivated; tokenization as alternative
High (0.16)
Lease expiration cluster (≥40% in 24 months)
NOI volatility on horizon
Medium (0.14)
Vacancy rate above submarket average
Operational distress
Medium (0.12)
Phase I / II environmental flag
Capital obstacle for traditional sale
Medium (0.10)
Tax delinquency on record
Cash-flow distress
Medium (0.10)
4.3 NAV-Reappraisal Cadence Indicators
For properties already structured as Module 2 candidates (Delaware, Wyoming, or Nevada single-asset LLCs), the module monitors reappraisal cadence as an opportunity signal — properties due for reappraisal within the next 90 days are flagged for proactive issuer outreach.
4.4 Module 2 IDOS Composite Weights
Property Distress Composite
County records, MLS, environmental
0.32
Daily
REIT Filing Distress Score
SEC REIT NLP
0.18
Per new filing
Lease Expiration Cluster Score
Tenant data, county records
0.14
Quarterly
CMBS / CRE-CLO Watchlist Score
Trustee feeds
0.12
Trustee report cadence
Submarket Cap-Rate Trajectory
Market indices
0.10
Quarterly
NAV-Reappraisal Opportunity
Tripartite registry (existing)
0.08
Per cycle
Environmental / Tax Flag
EPA, state DEP, county tax records
0.06
Daily
TOTAL
1.00
Module 2 issuers are typically single-asset entities, not the parent operating company. The IDOS pipeline accounts for this by indexing at the property level and aggregating to the entity level only at the outreach stage.
5. Module 3 — CORECM IDOS Pipeline
The Module 3 IDOS pipeline scores mineral basins, mining concessions, and rare-earth operations for tokenization readiness, with strict regulatory awareness given federal-action sensitivity.
5.1 Data Sources
USGS Critical Minerals List
Mineral classification, criticality designation
Annual list + emergency updates
DOE Critical Materials Strategy
Material-priority designation, program status
Program announcements
Federal Register
Executive Orders, Section 232 proclamations, DPA Title III orders
Continuous monitoring (5-min cadence)
County mineral-rights records
Title chain, lease terms, concession status
County-by-county scrapers
State oil-gas-and-minerals registries
Permit status, operational compliance
State-by-state cadence
DOD procurement directives
Strategic-procurement actions affecting basins
RSS + agency portals
SEC mining-company filings
10-K / 10-Q / 8-K for SEC-reporting miners
EDGAR RSS + EFTS daily batch
DOE program announcements
Critical Materials Strategy updates, funding directives
Program portal monitoring
5.2 Critical-Mineral Classification Signals
USGS classification: critical mineral, rare earth
Federal strategic priority
High (0.18)
DOE Critical Materials Strategy: high priority
Federal funding eligibility
High (0.16)
Section 232 applicability
Trade-policy strategic value
Medium (0.12)
DPA Title III applicability
Defense-priority strategic value
Medium (0.12)
IRA critical-minerals provisions
Tax-credit eligibility
Medium (0.10)
Concession active and in good standing
Operational readiness
Medium (0.10)
5.3 Federal-Action Exposure (Inverse Signal)
Federal-action exposure is an inverse signal — it indicates regulatory sensitivity that elevates IDOS scoring while increasing onboarding complexity. The Module 3 IDOS pipeline tracks current federal-action posture for each basin:
No active federal action; strategic-priority designation
Highest IDOS — opportunity with low regulatory friction
Active strategic-priority designation; recent IRA tax-credit eligibility
High IDOS — opportunity with regulatory tailwind
Active Section 232 review or DPA Title III consideration
Moderated IDOS — opportunity with onboarding caution
Active federal-action freeze precedent on similar basins
Reduced IDOS — operational risk material
Active enforcement or environmental review
Lowest IDOS — defer until resolved
5.4 Operational Distress Signals (Mining-Specific)
Capital expenditure forecasts exceed cash position
Capital-raise need
High (0.15)
Delayed permit renewals
Operational uncertainty
Medium (0.10)
Workforce reduction announcements
Operational distress
Medium (0.10)
Mineral-reserve estimate downgrades
Asset revaluation needed
Medium (0.10)
5.5 Module 3 IDOS Composite Weights
Critical-Mineral Classification Composite
USGS, DOE
0.28
Daily
Operational Distress Composite
SEC filings, news, regulatory portals
0.20
Daily + event-driven
Federal-Action Exposure Score
Federal Register, EO tracker, court orders
0.18
5-minute cadence
Concession Health Score
County records, state registries
0.14
Daily
Capital-Raise Urgency
SEC filings, news
0.10
Per filing
DOD / IRA Eligibility
DOD directives, IRS guidance
0.10
Per announcement
TOTAL
1.00
Module 3 IDOS scoring exhibits the highest signal volatility of the three modules — federal actions can move a basin's score by 30+ points within minutes of Federal Register publication. The module's federal-action monitoring service feeds both the Layer 2 Classification oracle (for Control 42 freeze coordination) and the Layer 9 Module 3 IDOS pipeline.
6. Composite IDOS Score Architecture
Each module produces its own IDOS score using module-specific weights. The composite score architecture is structurally identical across modules:
Module 1 weights are documented in §3.6. Module 2 weights are documented in §4.4. Module 3 weights are documented in §5.5. The weights are calibrated empirically per module and reviewed quarterly by the platform's intelligence team. The architecture allows future modules to be added without restructuring the IDOS formula — each new module gets its own weighting profile.
Module 1 — Equities
0–100
Long-tail; ~5% of universe scores >80
Module 2 — Real Estate
0–100
Bimodal; distress-flagged properties cluster 70–95
Module 3 — CORECM
0–100
Volatility-driven; classifications shift score range significantly
Each module's priority queue is independent. A Module 1 issuer scoring 92 and a Module 3 basin scoring 92 are on parallel tracks; outreach automation processes each module's queue in parallel without cross-module priority interference.
7. Outreach Pathway Multipliers
The composite IDOS score is adjusted by a multiplier reflecting the quality of the existing relationship between the platform and the issuer's transfer agent. The multiplier applies uniformly across all three modules.
Direct Referral
2.0x
Empire Stock Transfer client confirmed + (Module 1: 10,000+ shareholders of record; Module 2: stabilized property with existing valuation; Module 3: classified critical mineral)
Warm Lead
1.5x
Empire Stock Transfer client confirmed, any other criteria
Cold Prospect
1.0x
No existing Empire or platform relationship on file
Why Empire Clients Score Higher
Empire Stock Transfer serves 530+ publicly traded companies and has expanded relationships into the real-estate single-asset entity space and the basin-asset entity space. Companies and entities already in Empire's client base have an existing custody relationship — the most complex part of ST22 onboarding is already in place. Conversion from Empire client to ST22 issuer requires significantly less legal and operational work, producing higher conversion rates and shorter onboarding timelines, regardless of module.
8. Dynamic Priority Queue
The IDOS engine maintains continuously ordered priority queues — one per module — across the target universes. Outreach automation consumes from the head of each queue in parallel.
Queue Properties
Universe depth
15,000+ issuers
10,000+ properties (growing)
1,000+ basins / concessions (growing)
Storage
Memory-resident with persistent backing
Same
Same
Re-ranking
Continuous — any new data point triggers re-sort
Same
Same — federal actions trigger immediate re-sort
Top targets
Rolling top 50–100
Rolling top 30–50
Rolling top 20–40
Outreach dispatch
Automated — highest IDOS consumed from queue head
Same
Same
Trigger delay
< 2 minutes from threshold breach
< 2 minutes
< 5 minutes (federal-action verification window)
9. Investor-Side Wallet Profiling
The module profiles on-chain wallet behavior to identify and target verified wallets on Solana for ST22 offering notifications. Wallet profiling operates module-agnostically — the same wallet may participate in Module 1, Module 2, and Module 3 offerings provided the wallet's eligibility profile matches the offering's exemption.
9.1 Behavioral Signals
Historical transaction volume
Solana on-chain
Investment capacity
DeFi protocol participation
Solana on-chain
Financial sophistication
Token portfolio diversity
Solana on-chain
Investment breadth
Stablecoin holdings (USDC / PYUSD)
Solana on-chain
Available capital for ST22 purchase
Empire verification status
Empire MSF
Already KYC-verified — conversion-ready
Empire eligibility flags
Empire MSF
Reg D / Reg S / Reg CF eligibility profile
GROO staking status
Platform staking contract
Platform-engaged — high conversion
Previous ST22 participation
CEDEX trading history (per module)
Repeat investor — highest conversion
9.2 Eligibility-Aware Targeting
The module profiles wallets across three eligibility tracks corresponding to the platform's offering exemptions:
Reg D (US accredited)
Empire accreditation verification
Module 1 / 2 / 3 Reg D primary offerings
Reg S (non-US)
Empire non-US-person verification
Module 1 / 2 / 3 Reg S primary offerings
Reg CF (US retail)
Empire Reg CF investor-cap verification
Module 1 / 2 / 3 Reg CF primary offerings (when conducted via FINRA-registered funding portal partnership)
A single wallet may carry multiple eligibility flags (for example, US Reg D plus Reg CF tracks). The targeting engine matches wallets to offerings by eligibility intersection.
9.3 Wallet Engagement Score
The module generates a Wallet Engagement Score (WES) for Solana wallets matching the platform's investor profiles:
9.4 Compliance Constraint
All investor targeting operates within the relevant offering exemption parameters — Reg D (US accredited), Reg S (non-US), or Reg CF (US retail). The module enforces this programmatically, filtering wallet profiles through the offering's eligibility criteria before any outreach sequence triggers. Wallets that cannot be verified as matching the offering's eligibility profile are excluded from that offering's targeting — no exceptions.
10. Launch Readiness Score
For issuers in the active onboarding pipeline, the module generates a Launch Readiness Score (LRS) assessing optimal offering timing based on market conditions, investor demand signals, and platform capacity. The LRS is module-aware — Module 2 and Module 3 LRS scores incorporate module-specific oracle signals.
10.1 LRS Inputs
Investor demand signals
Wallet profiling — interested wallets for issuer category
0.30
0.28
0.26
Solana network conditions
Gas fees, congestion, block reliability
0.20
0.18
0.16
CEDEX liquidity depth
Current Global Pool TVL and depth per trading pair
0.20
0.18
0.16
Similar issuer performance
Recent ST22 offering conversion rates for comparable issuers in the same module
0.15
0.16
0.14
Macro sentiment
Stablecoin inflow / outflow on Solana
0.15
0.10
0.10
Module 2: NAV trajectory and reappraisal currency
NAV oracle
—
0.10
—
Module 3: Federal-action posture stability
Classification oracle
—
—
0.18
TOTAL
1.00
1.00
1.00
10.2 LRS Thresholds
> 0.80
Strong launch window
Expedited investor notification sequence (first 72 hours)
0.60–0.80
Favorable conditions
Standard launch timing
0.40–0.60
Acceptable
Launch proceeds with standard expectations
< 0.40
Suboptimal
Recommend delay — investor demand or market conditions weak
LRS updates every 4 hours, with real-time updates triggered by significant Solana congestion events, large stablecoin movements, NAV oracle updates (Module 2), or federal-action events (Module 3).
11. Staking Tier Access Gates
AI Module features are gated behind active GROO staking. Staking gates apply uniformly across all three modules — a Gold-tier staker has the same Module 1, Module 2, and Module 3 IDOS access.
Bronze
1,000 GROO
IDOS dashboard read-only — top 500 issuers per module
Silver
10,000 GROO
Full IDOS access (all three modules) + weekly AI-generated prospect report
Gold
50,000 GROO
Full module-specific NLP engines (EDGAR for Module 1; REIT-NLP for Module 2; USGS/DOE feeds for Module 3) + tier alerts + investor-pool analytics
Platinum
100,000 GROO
Complete suite: real-time feeds across all modules, IDOS priority queues, Launch Readiness Score, wallet profiling, outreach automation
Why Staking Gates Exist
Staking gates serve three purposes: they generate staking demand for GROO (driving the 1.5% fee distribution), they ensure module users have economic alignment with the platform (staked GROO = skin in the game), and they create tiered value that rewards larger participants with more sophisticated tooling. The gates apply identically regardless of which module(s) the staker is targeting.
12. Per-Operation Token Burns
Individual AI Module operations carry GROO token burn costs. Burns execute at the smart-contract level, are irreversible, and are permanently recorded on chain. The burn schedule is module-aware — operations on more data-intensive modules carry slightly higher burn costs.
EDGAR batch query execution (per 500 records)
1,000 GROO
Module 1
OTC Markets feed refresh subscription (monthly)
50 GROO
Module 1
REIT-NLP batch query execution (per 500 records)
1,000 GROO
Module 2
County-records refresh subscription (monthly per state)
50 GROO
Module 2
USGS / DOE batch query execution (per 500 records)
1,000 GROO
Module 3
Federal-action subscription (continuous)
100 GROO / month
Module 3
Investor wallet behavioral report (per ST22 offering)
250 GROO
All modules
Launch Readiness Score analysis (per deployment)
500 GROO
All modules (Module 2 / 3 incorporate module-specific oracle reads)
Full IDOS universe refresh cycle (per module)
1,000 GROO
Per module
Automated outreach sequence launch (per issuer)
750 GROO
All modules
Deflationary Impact
As AI Module usage grows across all three modules — more issuers analyzed, more investors targeted, more offerings launched — circulating GROO supply decreases permanently. Combined with the 2% staking-reinvestment lock (which removes GROO from circulation into the Global Pool), the effective circulating supply trends downward while staking demand trends upward.
13. Data Moat and Competitive Defensibility
Every campaign executed, every issuer conversion or non-conversion, every investor wallet interaction, and every ST22 offering outcome feeds back into the module's training data. The module improves continuously with platform scale. The data moat compounds across modules — a wallet that participates in Module 1 issuances generates training data that improves Module 2 and Module 3 wallet profiling accuracy for the same investor profile.
Three-Module Flywheel
After 500 ST22 launches across the three modules, the platform will have accumulated a dataset on Digital Securities investor behavior, issuer conversion patterns, and offering timing correlations that no competitor can replicate without operating at equivalent scale across multiple asset classes. This dataset constitutes a structural moat: the AI's accuracy improves as the platform grows, which improves commercial outcomes, which accelerates growth — compounding with each issuer onboarded across each of the three modules.
14. Performance Specifications
IDOS refresh — 8-K trigger (Module 1)
< 60 seconds from EDGAR RSS publication to score update
Module 1
IDOS refresh — federal-action event (Module 3)
< 5 minutes from Federal Register publication to score update
Module 3
IDOS full universe refresh (per module)
Every 24 hours + continuous partial refresh on real-time events
All modules
EDGAR full-text search throughput
1,000 CIKs per batch cycle
Module 1
REIT filing batch throughput
500 REITs per batch cycle
Module 2
USGS / DOE batch throughput
Full target universe per daily batch
Module 3
OTC Markets tier change detection
Near real-time (15-minute polling)
Module 1
County-records refresh
Daily per state
Module 2
Federal Register polling cadence
5 minutes
Module 3
Investor wallet profile refresh
Every 6 hours + event-driven on large on-chain movements
All modules
Launch Readiness Score
Every 4 hours + real-time on Solana congestion / NAV / federal-action events
All modules
Priority queue depth
15,000 (Module 1) + 10,000 (Module 2) + 1,000 (Module 3); memory-resident with persistent backing
Per module
Empire cross-reference match
< 5 seconds on new issuer ingestion
All modules
Outreach sequence trigger delay
< 2 minutes (Module 1, 2); < 5 minutes (Module 3)
Per module
15. Regulatory and Privacy Considerations
15.1 Data Sources — All Public
SEC EDGAR
Yes — operated for universal public access
No license required
Module 1 (primary), Module 2 (REITs)
OTC Markets Group
Yes — market infrastructure data
Public tier data free; enhanced feeds via subscription
Module 1
County recorder filings
Yes — public records
Per-county access (free or fee-based)
Module 2
MLS data
Yes — within license terms
Per-MLS license required
Module 2 (where licensed)
EPA / state environmental databases
Yes — public records
Free
Module 2
USGS Critical Minerals List
Yes — public
Free
Module 3
DOE Critical Materials Strategy
Yes — public
Free
Module 3
Federal Register
Yes — public
Free
Module 3
Solana blockchain
Yes — all on-chain data is public
No license required
All modules
LinkedIn / public web
Yes — publicly available professional profiles
Standard web access
All modules
15.2 Privacy Compliance
Issuer data
All from public sources — no non-public information
Investor wallet data
On-chain Solana data (inherently public)
Off-chain identity enrichment
Limited to publicly available professional sources
Investor outreach
CAN-SPAM Act compliant; GDPR Article 6(1)(f) legitimate interest
Offering notifications
Reg D, Reg S, and Reg CF general solicitation parameters enforced programmatically per offering
PII handling
Module does not store SSN, payment cards, or health information
Data retention
Subject to the platform's Privacy Policy and annual compliance audit
15.3 Reg D / Reg S / Reg CF Compliance Gate
The AI Module enforces offering-exemption compliance programmatically. All investor targeting filters through the relevant offering's eligibility criteria before outreach:
Reg D offerings: wallets must be verified accredited investors via Empire's accreditation verification.
Reg S offerings: wallets must be verified non-US persons via Empire's non-US-person verification.
Reg CF offerings: wallets must satisfy Empire's Reg CF investor-cap verification per 17 CFR §227.100(a)(2), and offerings must be conducted through a FINRA-registered funding portal partnership.
Wallets that cannot be verified as matching the offering's eligibility profile are excluded from all targeting sequences for that offering. This is a code-enforced gate, not a policy. Module-aware: the same gate applies to Module 1, Module 2, and Module 3 offerings — only the eligibility profile required varies by exemption, not by module.
Related Documentation
Whitepaper V8 Section 9 — AI Module complete technical specification.
Oracle Integration Guide — EDGAR pipeline (Module 1), NAV oracle (Module 2), Classification oracle (Module 3) — all shared with Layer 2.
Tokenomics Deep Dive — Staking tiers, burn mechanics, fee distribution.
Issuer Onboarding Guide — 9-stage process that the AI Module feeds into; module-specific onboarding variations.
Empire Stock Transfer Integration — Empire client cross-reference for outreach multipliers; module-aware custody coverage.
Compliance Integration Guide — Regulatory mapping including module-specific compliance and federal-action coordination.
Transfer Hook Reference — The 42 controls that the AI Module does not interact with at runtime.
RWA Tokens · AI and IDOS Module · Groovy Company, Inc.
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