Centralize open source metadata with Clearly Defined
Swiftask orchestrates your software data. Retrieve, normalize, and centralize metadata from your open source components in one single source of truth.
Result:
Gain visibility into your dependencies and ensure project compliance without manual effort.
AI Agents
clearly defined
Connector clearly defined · Secure OAuth 2.0
Data fragmentation halts your compliance
Managing hundreds of open source components means juggling disparate data sources. Licenses, versions, and origins are scattered, making audits and security complex and risky.
Main negative impacts:
Increased legal risks
Lacking clear metadata on licenses exposes your organization to undetected intellectual property violations.
Hidden technical debt
Without centralization, tracking outdated versions or security vulnerabilities in your dependencies is nearly impossible.
Information silos
Each team uses its own tracking methods, creating inconsistencies that prevent an overview of your software inventory.
Swiftask automates querying Clearly Defined to extract and centralize metadata for your components, creating a unique, reliable, and always up-to-date registry.
BEFORE / AFTER
What changes with Swiftask
Manual source management
Developers manually check each component across various repositories. Data is entered into outdated spreadsheets, increasing the risk of human errors and non-compliance.
Swiftask automated workflow
Swiftask automatically queries Clearly Defined with every new dependency. Metadata is normalized and stored in your central repository, ensuring continuous compliance.
Implementing your data pipeline
1
STEP 1 : Connector configuration
Enable the Clearly Defined connector in Swiftask to access open source metadata APIs.
2
STEP 2 : Extraction rule definition
Configure triggers to scan your dependency manifests and query corresponding data.
3
STEP 3 : Data normalization
The Swiftask AI agent processes raw data to match your internal compliance format.
4
STEP 4 : Central synchronization
Validated metadata is automatically pushed to your database or governance tool.
Data orchestration capabilities
The agent analyzes metadata quality (license, author, version) and checks for consistency with your internal policies.
- Target connector: The agent performs the right actions in clearly defined based on event context.
- Automated actions: Automatic component data retrieval. Version discrepancy detection. Real-time register updates. Automated compliance reporting.
- Native governance: Swiftask offers full traceability of every metadata update for your audits.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-clearly-defined@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.
Why centralize with Swiftask
Continuous compliance
Ensure every component meets your license standards in real time.
Lower audit costs
A clean, centralized inventory reduces time spent preparing for compliance audits by tenfold.
Total transparency
All teams have access to a single source of truth regarding software provenance.
Enhanced agility
Integrate new components without increasing the administrative burden on your developers.
Business scalability
Manage thousands of components with the same rigor, regardless of your ecosystem's growth.
Data integrity and security
Swiftask applies enterprise-grade security standards for your clearly defined automations.
- Encrypted API connection: Secure communication between Swiftask and Clearly Defined.
- Granular governance: Precisely control who accesses compliance data within Swiftask.
- Modification history: Every metadata change is logged for complete transparency.
- Sensitive data protection: Your compliance policies remain private and protected.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Software governance performance
| Metric | Before | After |
|---|---|---|
| Inventory update time | Several days per month | Automated in real time |
| Non-compliance risk | High (human errors) | Near zero (AI validation) |
| Audit efficiency | Complex manual search | Instant data export |
| Developer productivity | Repetitive data entry | Focus on development |
Take action with clearly defined
Gain visibility into your dependencies and ensure project compliance without manual effort.