Tarification

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.

Resultat:

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.

Les principaux impacts négatifs :

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.

AVANT / APRÈS

Ce qui change avec 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

ÉTAPE 1 : AI Agent Setup

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

ÉTAPE 2 : NASA API Integration

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

ÉTAPE 3 : Defining thresholds

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

ÉTAPE 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.

Connecteur cible : L'agent exécute les bonnes actions dans nasa selon le contexte de l'événement.
Actions automatisées : Scheduled NASA API queries. Intelligent AI filtering. Trajectory summary generation. Multichannel alert delivery. Surveillance log archiving.
Gouvernance native : Swiftask ensures full traceability of requests made to NASA for impeccable scientific compliance.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-nasa@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

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 applique des standards de sécurité enterprise pour vos automatisations nasa.

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.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Operational monitoring performance

Métrique	Avant	Après
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)

Passez à l'action avec nasa

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

Analysez les données planétaires de la NASA avec vos agents IA

Cas d'usage suivant.