Resolution Protocol
🧾 What is Resolution?
In most markets, resolution is binary.
In $RUN, resolution is ritualized. It is not just about outcomes. It is about verifying belief.
An Oracle must eventually be resolved. Who was right? What happened? Did the alpha run?
🧠 SeerNode – The Truth Engine
SeerNode is the protocol’s truth oracle.
It listens to:
Onchain swap volume
Token price feeds
Event triggers (e.g. trending rank, volume spikes)
When a resolution condition is met:
SeerNode finalizes the Oracle
Distributes rewards
Updates CAP scores
Triggers badge unlocks + remix chain logic
It is the heartbeat of the belief loop.
🧬 Resolution Layers
There are 3 layers of truth:
✅ 1. Fully Onchain (Auto)
Source: Volume, price, liquidity
Feeds: GMGN, Redstone, custom LP scanners
Example: “Will $WIF hit $20M volume in 24h?”
🔒 2. Multisig Verified
For semi-centralized events (trending rank, Twitter spikes, NFT mints)
DAO or trusted set confirms truth
Used for Meme Oracles and narrative signals
🧑⚖️ 3. Community Consensus (Later)
Real-world events (sports wins, hacks, launches)
Crowd voting or delegated Seer Circle verifies
Token-weighted or role-weighted decision
🔁 Optional Expiry & Slashing
Each Oracle can define:
A duration (e.g. 24h, 72h)
A slashing condition if Caller sells their tracked asset before it resolves
This adds skin-in-the-game for Callers
🔔 Resolution Events Trigger:
Payouts to Runners
Rewards to Callers
Remix eligibility
Badge evolutions
Hall of Fame induction
Constellation lineage update
$RUN is not just resolved by outcome. It is resolved through a sequence of ritual checkpoints that update the ecosystem’s memory.
🔁 Phase 2: Semi-Manual Resolution Module
Admins can manually resolve Oracles via
/verifydashboardToggle outcome: [TRUE] / [FALSE] with confirmation
Marks resolution hash on OracleNFT
Logged via console and ready for future onchain call
🧠 Phase 3: AI-Powered SeerNode
SeerNode now classifies Oracle types (price, narrative, off-chain)
Triggers AI agent to:
Search web (price feeds, news)
Parse data via LLM
Output verdict + justification trail
AI verdicts stored in audit log and optionally written onchain
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