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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.

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

STEP 1 : AI Agent Setup

Create a Swiftask agent dedicated to space monitoring. Configure its personality to interpret astronomical data.

STEP 2 : NASA API Integration

Connect the NASA NeoWs (Near Earth Object Web Service) API to your agent to ingest orbital data.

STEP 3 : Defining thresholds

Set alert conditions: minimum distance, absolute magnitude, or relative speed of objects.

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

1. 24/7 non-stop monitoring

Your agent watches the skies around the clock, where human teams cannot be present.

2. Massive data processing

AI analyzes thousands of objects in seconds, far beyond human capacity.

3. Contextual alerts

Receive only notifications that truly matter, with complete context.

4. Zero development

Integrate complex data streams without writing a single line of code.

5. 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

MetricBeforeAfter
Detection timeSeveral hours (manual)Real time (automated)
Data volume processedLimited by humansUnlimited by API
Alert reliabilityRisk of human errorAlgorithmic precision
Maintenance costHigh (researcher time)Low (SaaS)

Take action with nasa

Turn raw space data into actionable insights for research and monitoring.

Analyze NASA planetary data with your AI agents

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