Advanced data analytics, machine learning, and visualization tools for satellite data
Transform raw satellite data into actionable insights with our comprehensive analytics platform. Access powerful machine learning algorithms, data visualization tools, and custom analytics workflows for deep Earth intelligence.
Advanced ML algorithms for pattern recognition, anomaly detection, and predictive analytics on satellite data.
Interactive visualization tools and dashboards for exploring and presenting satellite data insights.
Stream processing capabilities for real-time analysis of incoming satellite data streams.
Build custom analytics workflows and pipelines tailored to your specific use cases and requirements.
Automated change detection algorithms to identify and analyze changes in satellite imagery over time.
AI-powered object detection and classification for identifying specific features in satellite imagery.
Statistical analysis tools for identifying trends and patterns in time-series satellite data.
Machine learning models for predicting future conditions and outcomes based on historical satellite data.
The Ekagni Analytics Platform provides comprehensive tools for analyzing satellite data, building custom workflows, and generating actionable insights. Our platform combines powerful analytics with easy-to-use interfaces.
https://api.ekagni.com/v1/analytics
Bearer Token (API Key)
JSON
500 requests/hour (free tier)
All API requests require authentication using your API key. Include your API key in the Authorization header.
curl -X GET "https://api.ekagni.com/v1/analytics/workflows" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json"Run analytics on satellite data using predefined or custom algorithms.
data_source - Source data IDalgorithm - Analysis algorithmparameters - Algorithm parametersoutput_format - Output formatGet list of available analytics workflows and templates.
category - Workflow categoryindustry - Industry typetags - Workflow tagsCreate custom analytics workflows and processing pipelines.
name - Workflow namesteps - Processing stepsschedule - Execution schedulecurl -X POST "https://api.ekagni.com/v1/analytics/analyze" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"data_source": "satellite_imagery_123",
"algorithm": "change_detection",
"parameters": {
"threshold": 0.1,
"time_range": "2024-01-01,2024-01-31"
},
"output_format": "geojson"
}'import requests
url = "https://api.ekagni.com/v1/analytics/analyze"
headers = {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
}
data = {
"data_source": "satellite_imagery_123",
"algorithm": "change_detection",
"parameters": {
"threshold": 0.1,
"time_range": "2024-01-01,2024-01-31"
},
"output_format": "geojson"
}
response = requests.post(url, headers=headers, json=data)
result = response.json()
print(f"Analysis completed: {result['status']}")const response = await fetch('https://api.ekagni.com/v1/analytics/analyze', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
data_source: 'satellite_imagery_123',
algorithm: 'change_detection',
parameters: {
threshold: 0.1,
time_range: '2024-01-01,2024-01-31'
},
output_format: 'geojson'
})
});
const result = await response.json();
console.log(`Analysis completed: ${result.status}`);Start analyzing satellite data with Ekagni's powerful analytics platform