Staker Integration Guide
TODO: Complete Integration Guide for Stakers & Restakers
How individual stakers can use EigenWatch.
Required Sections
-
Why Stakers Use EigenWatch
- Operator selection before delegation
- Ongoing monitoring of delegated operators
- Risk-aware rebalancing
- Slashing event notifications
- Reputation research
-
Operator Discovery & Vetting
- Query operators by risk score
- Filter by AVS involvement
- Review reputation history
- Research operator background
- Make delegation decision
-
Monitoring Delegations
- Dashboard of delegated operators
- Current risk scores
- Risk score history
- Slashing alerts
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Example Workflow
from eigenwatch import EigenWatchAPI
client = EigenWatchAPI(api_key="...")
# Find low-risk operators
operators = client.query_operators(risk_score_max=30)
# Review top candidates
for op in operators[:10]:
print(f"Operator: {op['address']}")
print(f" Risk Score: {op['risk_score']}")
print(f" Reputation: {op['reputation_tier']}")
print(f" APY: {op['estimated_apy']}") # If available
# Delegate to selected operator
delegate_stake(selected_operator) -
Risk Notification Setup
- Subscribe to slashing alerts
- Set risk score thresholds
- Email notifications
- Dashboard alerts
-
Rebalancing Strategy
- When to move stake (thresholds)
- How to move without losing rewards
- Withdrawal queue mechanics
- Tax/accounting considerations
-
Tools & Dashboards
- Official dashboard URL
- Third-party integrations
- API access for power users
- Data exports
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FAQ
- "What's a good risk score?"
- "How often should I check?"
- "What do I do if my operator slashes?"
- "How does EigenWatch calculate scores?"
Use Cases
- First-time staker vetting operators
- Active staker managing portfolio
- Power user building custom dashboards
- Researcher studying operator market dynamics
Related
Status: NOT STARTED — Requires user experience design & user research