Detect and analyze your MEV opportunities with Blocknative
Swiftask interfaces with Blocknative to transform raw mempool streams into actionable opportunities. React to market movements before anyone else.
Result:
Gain a competitive edge in DeFi markets through intelligent, automated monitoring of pending transactions.
AI Agents
blocknative
Connector blocknative · Secure OAuth 2.0
The complexity of MEV opportunity monitoring
The DeFi market moves at lightning speed. Identifying an MEV opportunity within the mempool requires an infrastructure capable of processing massive data volumes in milliseconds. Without the right tools, traders miss critical windows due to lack of visibility.
Main negative impacts:
Fatal decision latency
Delay in analyzing pending transactions means the opportunity is captured by faster competitors.
Information overload
The constant noise of the mempool makes it difficult to isolate real, profitable signals for your strategies.
High technical complexity
Maintaining a high-performance data pipeline to Blocknative requires significant engineering resources.
Swiftask simplifies Blocknative integration. Our AI agents filter streams in real-time and notify you or trigger actions as soon as an MEV opportunity matches your criteria.
BEFORE / AFTER
What changes with Swiftask
Manual or custom-built management
The trader monitors raw data streams, tries to write custom scripts to filter transactions, and often misses profitable execution windows.
Automation with Swiftask
The AI agent processes Blocknative streams continuously. It applies your profitability rules and alerts you instantly, securing the execution of your strategies.
Setting up your MEV monitoring in 4 steps
1
STEP 1 : Swiftask agent configuration
Create a dedicated DeFi monitoring agent in Swiftask without writing a single line of code.
2
STEP 2 : Blocknative connection
Integrate your Blocknative mempool streams via our secure connector.
3
STEP 3 : Defining opportunity filters
Set profitability conditions and transaction types to monitor.
4
STEP 4 : Monitoring activation
The agent immediately begins analyzing the stream and notifying your endpoints.
AI agent analysis capabilities
The agent evaluates trade viability, gas costs, and success probability based on real-time data from Blocknative.
- Target connector: The agent performs the right actions in blocknative based on event context.
- Automated actions: Intelligent filtering, instant alerts, conditional execution, and complete logging of detected opportunities.
- Native governance: Optimize your DeFi pipeline with a unified interface.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-blocknative@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Competitive advantages for your strategies
Drastic latency reduction
Access Blocknative signals closer to their emission time.
Focus on profitable opportunities
Filter out noise and receive only alerts relevant to your strategy.
No-code automation
Adapt your monitoring parameters without modifying complex infrastructure.
Decision traceability
Analyze the history of processed opportunities to refine future models.
Operational scalability
Manage multiple mempool streams simultaneously with a single agent.
Security and privacy
Swiftask applies enterprise-grade security standards for your blocknative automations.
- Secure API integration: Your Blocknative API keys are encrypted and protected.
- Isolated infrastructure: Each agent instance runs in a secure, isolated environment.
- Fine-grained access control: Precisely control who can modify your strategy parameters.
- Full audit trail: Immutable history of every opportunity processed.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Detection time | Several minutes | Milliseconds |
| False positive rate | High (mempool noise) | Reduced by AI |
| Maintenance burden | Continuous development | Intuitive configuration |
| Alert reliability | Inconsistent | High precision |
Take action with blocknative
Gain a competitive edge in DeFi markets through intelligent, automated monitoring of pending transactions.