Whitepaper v1.0

RLAR Protocol

Decentralized Security Oracle for DeFi Infrastructure

Section 01

Overview

RLAR is an Ethereum-based protocol that delivers continuous, on-chain security risk feeds for DeFi protocols and smart contracts. It transforms fragmented, off-chain security data — audit reports, incident records, contract metadata — into composable oracle feeds that other protocols can consume programmatically within their smart contract logic.

RLAR does not adjudicate truth. It aggregates verifiable security signals into structured confidence metrics, enabling DeFi protocols to make automated, security-aware decisions without human intervention.

Chainlink provides price. RLAR provides risk.
Section 02

The Problem

DeFi protocols collectively secure over $80 billion in TVL, yet operate with no standardized on-chain mechanism for assessing the security posture of the contracts they interact with.

Audit reports exist as static PDFs — point-in-time snapshots with no machine-readable format and no on-chain presence. Security ratings live on centralized dashboards maintained by single entities, updated at arbitrary intervals. Risk assessments are conducted through private consulting engagements, with results neither shared nor standardized.

None of this is composable. A lending protocol cannot programmatically verify whether a collateral asset's underlying contracts have been recently audited before accepting a deposit. Wallets cannot warn users at the point of transaction signing. Insurance protocols cannot automate underwriting based on real-time security states.

Section 03

Competitive Landscape

Several projects operate in DeFi security infrastructure. RLAR occupies a distinct position that none currently fill.

Forta Network operates as a real-time threat detection network — monitoring mempool activity and anomalous transactions to issue alerts. Forta detects live threats. RLAR scores structural security posture. The two are complementary.

OpenZeppelin Defender provides centralized monitoring and operational tooling for protocol teams. Its outputs are not on-chain, not composable, and not accessible to external protocols.

Sherlock is an audit marketplace combined with exploit insurance. Sherlock's audit reports are valuable data that could feed into RLAR's Record Layer, but Sherlock does not produce on-chain risk scores consumable by other protocols.

Gauntlet and Chaos Labs provide bespoke risk management consulting to large protocols like Aave and Compound. Their analyses are private, non-standardized, and unavailable to the broader ecosystem.

RLAR's position: the composable, on-chain oracle layer that sits downstream of all the above. It aggregates, scores, and delivers security data as a standardized feed any protocol can integrate — democratizing access to security intelligence.

Section 04

Record Layer

The Record Layer accepts immutable security data submissions. Each submission is a structured entry containing: on-chain content hash (SHA-256 of the full report), source classification (audit report, incident disclosure, configuration change, dependency update), target contract address(es) and chain ID, submitter address and stake amount, and metadata including auditor identity, assessment date, severity findings, and remediation status.

Submissions require a minimum RLAR token stake, scaled by data type. Audit report registrations require a higher stake than routine configuration observations, reflecting the higher impact of inaccurate audit data.

Records are permanent. Updated assessments are published as new entries referencing prior versions, maintaining a complete audit trail per contract address.

If a submission is disputed and found inaccurate, the submitter's stake is partially slashed: 70% redistributed to the challenger, 30% to the validator committee.

Immutable registration. Stake-backed provenance.
Section 05

Reference Layer

The Reference Layer produces dynamic Risk Scores for registered contract addresses through a hybrid computation model combining deterministic on-chain signals with validated off-chain submissions.

Base Score — On-Chain Deterministic (Weight: 40%)

These signals are computed entirely from on-chain data with no human input:

Contract Maturity Index (10%) — Logarithmic function of time since deployment. Contracts surviving 12+ months without exploit score higher, reflecting the Lindy effect.
Admin Key Configuration (10%) — 5-tier rubric: EOA-only (0), Multisig without timelock (25), Multisig with short timelock (50), Multisig with 48h+ timelock (75), Immutable/Renounced (100).
Upgrade History Volatility (8%) — Penalizes more than 4 proxy upgrades per quarter. Decay function rewards upgrade stability over time.
Dependency Risk Propagation (7%) — Weighted average of Risk Scores for all contracts the target depends on (oracles, bridges, underlying tokens).
Code Verification Status (5%) — Unverified bytecode receives minimum score.

Assessed Score — Validated Off-Chain (Weight: 60%)

Tier 1 — DAO-Governed Whitelist: Submissions from whitelisted sources (auditors with established on-chain track records and minimum reputation scores) are integrated with a 24-hour observation period. The whitelist is initially managed by a 5-of-9 multisig composed of security ecosystem participants, transitioning to full DAO governance via token-weighted vote by Month 12. Whitelisting proposals require 100,000 RLAR to submit and a 7-day voting period with 10% quorum.

Tier 2 — Optimistic Ingestion with Challenge: Submissions from non-whitelisted sources enter a 72-hour challenge period. Unchallenged data is incorporated at 80% weight. Challenged submissions are resolved by a randomly selected validator committee (minimum 5 validators). Committee scores are aggregated via stake-weighted median with quadratic dampening — each validator's influence scales with the square root of their stake.

Score Composition

Final Risk Score = (Base Score × 0.4) + (Assessed Score × 0.6)
Range: 0-100 (uint8), returned with lastUpdated (uint40) and confidence (uint16)

Manipulation Defenses

Maximum ±15 score delta per epoch (7 days) — prevents sudden manipulation
EMA-30 temporal smoothing — new data blended with historical scores
No single entity may constitute more than 20% of committee stake
Minimum 90-day validator stake lockup — sybil resistance
Score decay of -2 points per month without new corroborating data
Records are permanent. Risk Scores evolve.
Section 06

Oracle Interface

RLAR's core product is an on-chain oracle feed that DeFi protocols consume directly within their smart contract logic.

function getRiskScore(address target) returns (uint8 score, uint40 lastUpdated, uint16 confidence)

Each query returns the current score (0-100), last update timestamp, and a confidence metric reflecting data density. Consuming protocols pay subscription fees denominated in RLAR tokens.

Distributed Aggregation Network

Off-chain computation is performed by a permissionless node operator network (minimum 7 operators per attestation round). Node operators independently compute scores from Record Layer data and submit attestations. On-chain consensus requires matching results from at least 5 of 7 operators before score updates are committed — preventing any single aggregator from manipulating feeds. Attestation rounds occur every 6 hours or upon significant score change exceeding 5 points.

Integration Examples

Lending Protocols — Query collateral asset Risk Scores to auto-adjust liquidation thresholds, borrow caps, and interest rate parameters. Score below threshold triggers automatic collateral delisting.
Yield Aggregators — Filter vault strategies by minimum security score, excluding protocols below threshold without manual review.
Insurance Protocols — Consume Risk Score history and volatility to calculate premiums and automate policy issuance algorithmically.
Wallet Providers — Call RLAR before transaction signing to display human-readable security warnings at the point of interaction.
Section 07

Data Bootstrapping

Phase 0 — Seed Layer (Pre-Launch): RLAR seeds the Record Layer with publicly available security data before launch: verified contract metadata from block explorers, historical audit reports from public repositories, and known incident databases. This provides baseline Risk Scores for the top 200 DeFi contracts by TVL at launch.

Phase 1 — Subsidized Integration (Months 1-12): The bootstrap reserve (15% of Ecosystem allocation, vesting over 24 months) subsidizes both sides. Data submitters receive boosted rewards from the reserve. Early integrating protocols receive discounted subscription access for the first year. Target: 3-5 lending protocol integrations and 500+ scored contracts.

Phase 2 — Organic Transition (Months 12-24): As query volume scales, organic subscription revenue replaces subsidies. Reserve subsidies decrease linearly, reaching zero at month 24.

Phase 3 — Self-Sustaining (Month 24+): All protocol economics run on organic revenue. No cliff events at reserve exhaustion due to linear taper.

Section 08

Revenue Model

All protocol revenue is generated from oracle subscription fees paid by integrating DeFi protocols, wallets, insurance providers, and aggregators.

35% — Data submitter rewards, weighted by data utility (consumption frequency), accuracy (historical challenge rate), and freshness. Submitters earn proportional passive income each time their data is consumed.
25% — Validator compensation for committee participation and dispute resolution
20% — Protocol buyback and permanent burn
10% — Development treasury, governed by token holder vote with 6-month timelock
10% — Insurance reserve for slashing shortfalls and protocol contingencies

High-reputation submitters receive a multiplier (up to 2x) on their revenue share, creating compounding returns for consistent, honest participation.

Section 09

Tokenomics

Token: RLAR — Total Supply: 100,000,000 (fixed hard cap, minted at genesis). No inflation. No future minting under any circumstances.

Allocation

30% — Ecosystem (15% bootstrap reserve vesting 24mo + 15% long-term submitter/validator rewards vesting 48mo)
25% — Public sale and liquidity (fully unlocked at TGE)
20% — Team and advisors (12-month cliff, 36-month linear vesting)
15% — Strategic investors (6-month cliff, 24-month linear vesting)
10% — Development treasury (DAO-governed, 6-month timelock on all releases)

Token Utility

Data submitters stake RLAR to register security data (minimum stake varies by data type). Validators stake RLAR to participate in dispute resolution (minimum 10,000 RLAR, 90-day lockup). Consuming protocols pay RLAR for oracle subscription access. Token holders vote on governance proposals including treasury allocation, parameter changes, and whitelist management.

Deflationary Mechanism

20% of subscription revenue is used to purchase RLAR from the open market and permanently burn it. Because supply is hard-capped with no issuance, every burn is a net reduction with no dilutive offset.

Vesting Schedule

Month 0: 25% circulating (public sale). Month 6: ~32% (investor unlock begins). Month 12: ~42% (team unlock begins). Month 24: ~65%. Month 36: ~85%. Month 48: 100% fully circulating. All vesting is linear after cliff — no sudden unlock events.

Section 10

Governance

RLAR governance operates through a token-weighted DAO with the following scope: treasury allocation (10% reserve), protocol parameter adjustments (score weights, decay rates, minimum stakes), Tier 1 whitelist additions and removals, and emergency score freezes (requiring 67% supermajority).

Governance proposals require a minimum 100,000 RLAR to submit and a 7-day voting period. Quorum is 10% of circulating supply. Parameter changes are subject to a 48-hour timelock before execution.

During launch phase (Months 0-12), whitelist management is handled by a 5-of-9 multisig composed of security ecosystem participants. This transitions to full DAO control by Month 12.

Section 11

Risk Factors

Bootstrapping failure: insufficient early adoption on either supply or demand side
Regulatory uncertainty around on-chain security scoring and potential liability implications
Smart contract risk in RLAR's own contracts
Oracle manipulation despite mitigation measures
Centralization risk during early whitelisted source and multisig phase
Competition from centralized alternatives with faster go-to-market
Section 12

Roadmap

Q3 2026 — Testnet launch with seeded data for top 200 DeFi contracts
Q4 2026 — Mainnet deployment, Phase 1 subsidized integration begins
Q1 2027 — First lending protocol integration live, validator network opens
Q2 2027 — SDK release for wallet providers and aggregators
Q4 2027 — Phase 2 organic transition, cross-chain expansion (Arbitrum, Base)
2028 — Phase 3 self-sustaining economics, DAO governance fully operational

RLAR provides the trust infrastructure that DeFi requires — not by deciding what is secure, but by making the evidence trail transparent, verifiable, and economically accountable.

MARB Labs