Capturing Signal
This guide covers advanced techniques for capturing signal from users and interpreting signal data within the Intuition ecosystem.
Signal Capture Mechanismsβ
Direct Stakingβ
Users explicitly deposit tokens to signal support or opposition:
// Deposit into an Atom vault
await deposit(atomVaultId, amount)
// Deposit into a Triple vault (positive side)
await deposit(tripleVaultIdFor, amount)
// Deposit into counter-triple vault (negative side)
await deposit(counterTripleVaultIdAgainst, amount)
Continuous Marketsβ
Staking is not a one-time vote but a continuous market:
- Add more stake to increase your signal
- Withdraw stake (with potential rewards or penalties)
- Counter-stake on opposite sides for Triples
- Market "odds" constantly adjust to reflect aggregated beliefs
Interpreting Signal Strengthβ
Analyzing TVL (Total Value Locked)β
Higher TVL generally indicates:
- Greater community interest
- More economic backing
- Higher perceived relevance or truth
- Stronger consensus (for Triples)
Consensus Metricsβ
For Triples, analyze the balance between positive and negative vaults:
const consensusScore = positiveStake / (positiveStake + negativeStake)
// Result between 0 and 1
// > 0.5 = net positive consensus
// < 0.5 = net negative consensus
// β 0.5 = disputed/uncertain
Attestor Qualityβ
Consider not just the amount staked, but who is staking:
- Number of unique attestors
- Reputation of attestors
- Historical accuracy of attestors
- Domain expertise of attestors
Advanced Applicationsβ
Following Listsβ
Instead of creating 1,000 separate "following" claims, use a single Triple:
[User X] - [following] - [Creator Y]
Multiple users adjust their balances on this Triple to express following. To see all followers, examine who has positive balances.
Tiered Preferencesβ
Users can express varying levels of interest by staking different amounts:
// Strong support
await deposit(tripleVaultId, 100)
// Moderate support
await deposit(tripleVaultId, 10)
// Weak support
await deposit(tripleVaultId, 1)
Prediction Marketsβ
Signal can function as a prediction market mechanism where:
- Early accurate signals are rewarded
- Later participants pay premium prices
- Market prices reflect collective probability assessment
Economic Dynamicsβ
Fee Distributionβ
When someone stakes on an Atom or Triple:
- Existing stakers earn fees from the new deposit
- Fee amount depends on bonding curve position
- Creates incentive to identify valuable data early
Self-Refinementβ
The economic model drives system improvement:
- Stakers who identify valuable data earn more rewards
- Stakers on unused data earn less
- Useful information becomes economically advantageous to support
- Irrelevant claims naturally receive less stake
Next Stepsβ
- Signal Rewards - Understand fee and reward calculations
- Signal Fundamentals - Review signal basics