Swiftask links your AI agents to Alchemy data streams. Transform raw transactions into structured, actionable insights instantly.
Result:
Save valuable time on on-chain analysis and accelerate decision-making based on reliable data.
The complexity of manual on-chain data indexing
Extracting and indexing data from Alchemy often requires significant technical resources. Manual processing of blockchain logs and events is slow, error-prone, and expensive in development time.
Main negative impacts:
Swiftask automates indexing via AI agents that filter, structure, and store your Alchemy data according to your specific needs, without writing a single line of code.
BEFORE / AFTER
What changes with Swiftask
Traditional approach
Developing custom scripts to query Alchemy, managing indexing servers, and constant maintenance to adapt to protocol updates.
The Swiftask advantage
Visual configuration of your AI agents. Data is indexed and processed automatically upon receipt, ready to be used by your business tools.
4-step indexing process
STEP 1 : Agent initialization
Define your AI agent in Swiftask with a clear mission for specific data indexing.
STEP 2 : Alchemy integration
Use your Alchemy credentials to allow your agent to access real-time data streams.
STEP 3 : Rule configuration
Configure filters and desired output formats for your indexed data.
STEP 4 : Deployment and monitoring
Activate the flow and monitor indexing directly from your Swiftask dashboard.
Data processing capabilities
The agent analyzes transactions, smart contract logs, and specific events defined in Alchemy.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-alchemy@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.
Major operational benefits
1. Speed gains
Drastic reduction in the time between on-chain occurrence and data availability.
2. No-code accessibility
Allows business analysts to configure indexing without depending on developers.
3. Native scalability
Swiftask infrastructure handles traffic spikes without your intervention.
4. Ready-to-use data
Data arrives structured and ready for your analytical models or reports.
5. Cost reduction
Less time spent on development and server maintenance.
Data security and integrity
Swiftask applies enterprise-grade security standards for your alchemy automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Automation performance
| Metric | Before | After |
|---|---|---|
| Indexing time | Hours (manual/script) | Real-time |
| Maintenance cost | High | Minimal |
| Reliability | Variable | High (AI logs) |
| Setup time | Days/Weeks | Minutes |
Take action with alchemy
Save valuable time on on-chain analysis and accelerate decision-making based on reliable data.