Streamline your blockchain address research with Alchemy
Swiftask integrates the power of Alchemy to automate on-chain data exploration. Turn complex addresses into actionable insights instantly.
Result:
Save valuable time on technical analysis and eliminate manual data extraction errors.
AI Agents
alchemy
Connector alchemy · Secure OAuth 2.0
The technical hurdles of on-chain analysis
Manually querying blockchain data via explorers is slow and prone to errors. Teams waste massive amounts of time correlating addresses, tracking transactions, and filtering digital noise.
Main negative impacts:
Query complexity
Direct node querying via Alchemy requires technical skills that slow down decision-making.
High analysis time
Manual address history research prevents rapid responses to market opportunities or risks.
Lack of centralization
Extracted data remains siloed, making it impossible to build cohesive workflows.
Swiftask connects your AI agents to Alchemy to automate address research. You define your criteria, the AI queries the blockchain, and provides a clear summary.
BEFORE / AFTER
What changes with Swiftask
Manual research
An analyst spends hours on Etherscan, manually copies address logs, and tries to cross-reference them in Excel. The data is obsolete before it's even used.
Automation with Swiftask
Your AI agent monitors Alchemy in real-time. As soon as an address matches your criteria, it extracts the data, analyzes the context, and notifies you in your business tool.
Deploy your research agent in 4 steps
1
STEP 1 : Configure your Swiftask agent
Define address research goals and filtering criteria within the intuitive Swiftask interface.
2
STEP 2 : Secure connection to Alchemy
Integrate your Alchemy API keys into Swiftask to allow the agent to access blockchain data.
3
STEP 3 : Define triggers
Set up events that launch the research (e.g., new transaction, balance threshold reached).
4
STEP 4 : Validation and automation
Activate the agent to monitor addresses continuously and receive automated reports.
What your AI agents can do
The agent processes raw Alchemy data: transaction history, contract interactions, and token balances.
- Target connector: The agent performs the right actions in alchemy based on event context.
- Automated actions: Automatic address research by criteria. Log event extraction. Suspicious wallet monitoring. Generation of on-chain activity summaries.
- Native governance: All searches are timestamped and stored for transparent auditing.
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.
Automation benefits
Execution speed
Get blockchain data in seconds instead of hours.
Technical precision
Eliminate human errors related to manual on-chain data reading.
24/7 Monitoring
Never miss an opportunity with constant address surveillance.
Accessible no-code
No need to be a blockchain engineer to build sophisticated workflows.
Centralized reporting
View all your address research directly in your Swiftask dashboard.
Security and compliance
Swiftask applies enterprise-grade security standards for your alchemy automations.
- Secure API key management: Your Alchemy keys are encrypted and accessible only by the authorized agent.
- Access isolation: Access limited to only the methods required for your research.
- Full traceability: Every query performed on Alchemy is tracked within Swiftask.
- Compliance: Adherence to SaaS security standards to protect your business data.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Performance indicators
| Metric | Before | After |
|---|---|---|
| Research time | Hours | Seconds |
| Data accuracy | Variable | 100% (API-based) |
| Address tracking | Ad-hoc | Continuous |
| Technical complexity | High | None |
Take action with alchemy
Save valuable time on technical analysis and eliminate manual data extraction errors.