Domain Profiles
Athena's 6-pillar framework applies across domains. Same principles, domain-specific signals.
Universal Pillars
The same 6 pillars apply everywhere. Credibility has the same dimensions whether you're evaluating a crypto influencer, a financial analyst, or a political commentator.
Domain-Specific Signals
What varies is how we measure each pillar. Crypto uses price targets; finance uses earnings forecasts; politics uses election outcomes. Different signals, same framework.
Pillar: Outcome Alignment
Crypto: Price target accuracy
Finance: Earnings forecast accuracy
Politics: Election prediction accuracy
Cryptocurrency
LiveEvaluates crypto influencer credibility based on prediction accuracy, market calls, and disclosure practices.
Key Signals
- Price target accuracy
- Direction accuracy (bullish/bearish)
- Timeframe precision
- Market condition context
- Sponsor disclosure rates
- Correction acknowledgment
- Consistency over time
Pillar Mapping
Did price predictions match actual market outcomes?
Are high-confidence calls more accurate than low-confidence ones?
Is the thesis stable or frequent flip-flopping?
Are claims specific ("$50K by March") vs vague ("bullish long-term")?
Example Claims
"BTC will hit $100K by end of year"
"ETH is undervalued at current prices"
"This altcoin will 10x"
Traditional Finance
Coming 2026Will evaluate financial analysts and commentators on earnings forecasts, sector picks, and risk ratings.
Key Signals
- Earnings forecast accuracy
- Sector pick performance
- Risk rating calibration
- Market timing calls
- Disclosure of positions
- Thesis revision frequency
- Citation quality
Pillar Mapping
Did earnings/sector predictions match outcomes?
Are risk ratings accurate? Do high-conviction calls outperform?
Is the investment thesis stable over market cycles?
Are predictions data-backed with clear timeframes?
Example Claims
"AAPL will beat earnings by 15%"
"Recession coming in Q3"
"Tech sector is overvalued"
Politicians
Coming SoonWill evaluate politicians and political commentators on policy predictions, election forecasts, and position consistency.
Key Signals
- Election outcome predictions
- Policy impact forecasts
- Position consistency
- Voting record alignment
- Funding disclosure
- Partisan bias detection
- Retraction frequency
Pillar Mapping
Did election/policy predictions match actual outcomes?
Are high-confidence predictions more accurate?
Is the position stable or shifting with political winds?
Are predictions specific and measurable?
Example Claims
"Candidate X will win by 5+ points"
"This policy will pass before midterms"
"Economic impact will be minimal"
News & Journalism
Research PhaseWill evaluate journalists and news commentators on investigative reporting accuracy, fact-checking quality, and correction transparency.
Key Signals
- Story accuracy tracking
- Source verification quality
- Correction frequency and speed
- Conflict of interest disclosure
- Follow-up on breaking news
- Retraction handling
- Bias detection
Pillar Mapping
Did breaking news and investigations prove accurate?
Are confident reports more reliable than speculative ones?
Is reporting quality consistent across different topics?
Are sources named? Are claims specific and verifiable?
Example Claims
"Breaking: Company X will announce merger"
"Sources confirm policy change next week"
"Investigation reveals regulatory violations"
Phase 1: Crypto
Live now with 125+ entities tracked
Phase 2: Finance
Targeting Q4 2026 launch
Phase 3: Politicians
Targeting Q2 2027
Phase 4: News & Journalism
Research phase, 2027
Same pillars, new signals, new domains. The framework scales.