Automated Near Earth Object surveillance with Swiftask
Swiftask integrates NASA data to monitor Near Earth Objects (NEOs). Receive AI-powered analysis and instant alerts on orbital trajectories.
Result:
Turn raw space data into actionable insights for research and monitoring.
AI Agents
nasa
Connector nasa · Secure OAuth 2.0
The complexity of astronomical data tracking
Manually tracking NEOs via the NASA API is tedious. Researchers handle massive data volumes where every trajectory change matters. Without automation, critical alerts are missed, delaying the analysis essential for risk assessment.
Main negative impacts:
Raw data saturation
The NASA API generates a constant stream of information. Manually filtering relevant data is inefficient and error-prone.
Reporting latency
Reactivity is key. Delays in data processing can hinder precise predictive analysis.
Lack of AI interpretation
Raw data lacks semantic context. Without AI, correlating events to identify trends is difficult.
Swiftask automates NASA API queries, analyzes data via AI, and triggers personalized alerts as soon as a critical threshold is reached.
BEFORE / AFTER
What changes with Swiftask
Traditional manual monitoring
A researcher manually queries the NASA API, downloads JSON files, processes them in Excel, and hopes to spot an anomaly. The process is slow, repetitive, and unreliable.
Automation with Swiftask
Swiftask continuously queries the NASA API, analyzes data in real time via LLM, and sends a detailed alert to Slack or Teams if an object approaches a safety threshold.
Activate your space monitoring system
1
STEP 1 : AI Agent Setup
Create a Swiftask agent dedicated to space monitoring. Configure its personality to interpret astronomical data.
2
STEP 2 : NASA API Integration
Connect the NASA NeoWs (Near Earth Object Web Service) API to your agent to ingest orbital data.
3
STEP 3 : Defining thresholds
Set alert conditions: minimum distance, absolute magnitude, or relative speed of objects.
4
STEP 4 : Alert deployment
Configure the notification channel for your research team.
Swiftask agent analysis capabilities
The agent correlates distance, speed, and diameter data to assess the risk potential of each detected object.
- Target connector: The agent performs the right actions in nasa based on event context.
- Automated actions: Scheduled NASA API queries. Intelligent AI filtering. Trajectory summary generation. Multichannel alert delivery. Surveillance log archiving.
- Native governance: Swiftask ensures full traceability of requests made to NASA for impeccable scientific compliance.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-nasa@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.
Benefits of space automation
24/7 non-stop monitoring
Your agent watches the skies around the clock, where human teams cannot be present.
Massive data processing
AI analyzes thousands of objects in seconds, far beyond human capacity.
Contextual alerts
Receive only notifications that truly matter, with complete context.
Zero development
Integrate complex data streams without writing a single line of code.
Scalable architecture
Easily add new data sources or adjust your analysis models.
Data security and integrity
Swiftask applies enterprise-grade security standards for your nasa automations.
- Encrypted API connection: All communications with NASA servers are secured via HTTPS.
- Environment isolation: Every data stream is isolated within your Swiftask workspace.
- Scientific audit: Every decision made by the agent is logged to allow for post-hoc verification.
- Access management: Control exactly who has access to alerts and agent configurations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Operational monitoring performance
| Metric | Before | After |
|---|---|---|
| Detection time | Several hours (manual) | Real time (automated) |
| Data volume processed | Limited by humans | Unlimited by API |
| Alert reliability | Risk of human error | Algorithmic precision |
| Maintenance cost | High (researcher time) | Low (SaaS) |
Take action with nasa
Turn raw space data into actionable insights for research and monitoring.