NASA connector
Integrate NASA APIs Into Your Workflows and AI Agents
Connect NASA's open data — from planetary imagery to asteroid tracking — directly into your automation pipelines.

What can you do with the NASA connector?
NASA publishes a range of public APIs covering Astronomy Picture of the Day (APOD), Mars Rover photos, near-Earth object tracking, satellite imagery, and space weather data. Whether you're building a content platform, an educational tool, a scientific research pipeline, or an AI agent that works with space data, connecting to NASA APIs gives you a constant stream of authoritative, real-time information. With tray.ai's NASA connector, you can wire these data feeds into any workflow without writing custom API code.
Automate & integrate NASA
Automating NASA business process or integrating NASA data is made easy with tray.ai
Use case
Automated Space Content Publishing
Pull NASA's Astronomy Picture of the Day (APOD) API on a schedule and automatically publish the image, title, and explanation to your CMS, social media channels, or internal knowledge base. For science communicators, educators, and media teams, this removes the daily manual work of sourcing and formatting space content.
Use case
Near-Earth Object (NEO) Monitoring and Alerting
Use NASA's NeoWs (Near Earth Object Web Service) API to poll for newly identified asteroids and potentially hazardous objects on a schedule. When objects meeting configurable criteria are detected, trigger alerts to Slack, email, or PagerDuty — useful for research teams, planetariums, and science news outlets.
Use case
Mars Rover Photo Pipeline for Media and Research
Fetch the latest photos from Curiosity, Opportunity, or Perseverance using the Mars Rover Photos API, route them into cloud storage (S3, Google Drive), enrich them with metadata, and surface them in dashboards or content tools. Research teams and media organizations can automate the ingestion of raw Mars imagery without manually browsing NASA's portal.
Use case
Earth Observation and Satellite Imagery Integration
Use NASA's Earth Polychromatic Imaging Camera (EPIC) and Landsat imagery APIs to pull satellite photos of specific geographic coordinates. Teams in agriculture, climate research, insurance, or urban planning can automate the retrieval and storage of Earth observation data tied to locations in their CRM or database.
Use case
Space Weather Data Feeds for Research and Infrastructure
Connect NASA's DONKI (Space Weather Database Of Notifications, Knowledge, Information) API to monitor solar flares, coronal mass ejections, and geomagnetic storms. Infrastructure teams managing satellite operations or power grids, as well as researchers, can get automated digests and alerts when space weather events exceed defined thresholds.
Use case
AI Agent Enrichment with NASA Scientific Data
Build AI agents on tray.ai that query multiple NASA APIs — APOD, NeoWs, and DONKI — to answer natural-language questions about current space events, generate briefings, or populate knowledge bases. Feeding NASA's authoritative data into your LLM pipelines means agents return accurate, up-to-date answers about astronomical phenomena.
Use case
NASA Data Synchronization to BI and Data Warehouses
Continuously sync NASA API data — asteroid close approach records, exoplanet discoveries from the Exoplanet Archive, or ISS location data — into Snowflake, BigQuery, or Redshift. Data engineering teams can build reliable ELT pipelines that keep scientific datasets fresh without maintaining brittle custom scripts.
Build NASA Agents
Give agents secure and governed access to NASA through Agent Builder and Agent Gateway for MCP.
Data Source
Fetch Astronomy Picture of the Day
Retrieve NASA's Astronomy Picture of the Day (APOD) including image URL, title, and explanation. An agent can use this to feed content pipelines, newsletters, or educational workflows with daily space imagery.
Data Source
Query Near-Earth Object Data
Pull data on near-Earth asteroids and comets from NASA's NeoWs API, including size estimates, close approach distances, and hazard classifications. An agent can monitor planetary defense data or generate automated alerts.
Data Source
Retrieve Mars Rover Photos
Fetch images captured by Mars rovers — Curiosity, Opportunity, and Perseverance — filtered by sol, camera, or Earth date. An agent can surface these photos for research workflows, social media automation, or science education platforms.
Data Source
Look Up Earth Satellite Imagery
Access NASA's Earth imagery API to retrieve satellite photos of specific geographic coordinates. An agent can track land use changes, natural disasters, or environmental conditions over time.
Data Source
Search NASA Media Library
Search NASA's Images and Video Library for photos, audio, and video assets by keyword, date range, or media type. An agent can pull relevant space media for content creation or research workflows.
Data Source
Access NASA Open Data Catalog
Query NASA's open data catalog for scientific datasets covering climate, aeronautics, and space exploration. An agent can find and retrieve relevant datasets to support research, analysis, or reporting tasks.
Data Source
Retrieve Space Weather Data
Pull space weather events such as solar flares, geomagnetic storms, and coronal mass ejections from NASA's DONKI API. An agent can watch these events and trigger downstream alerts or reports in connected systems.
Data Source
Fetch Exoplanet Archive Data
Access data on confirmed exoplanets including orbital parameters, stellar host information, and discovery methods. An agent can use this to answer research queries, generate reports, or add depth to science education content.
Data Source
Monitor NASA Tech Transfer Opportunities
Retrieve patents, software, and spinoff technologies made available through NASA's Tech Transfer program. An agent can scan for relevant innovations and flag opportunities for R&D or licensing teams.
Data Source
Track International Space Station Location
Fetch the current orbital position and trajectory of the International Space Station in real time. An agent can use this data to power dashboards, generate location-based alerts, or add context to educational content.
Agent Tool
Retrieve Asteroid Close Approach Alerts
Trigger automated alerts and summaries when newly identified near-Earth objects meet defined proximity or size thresholds. An agent can push these notifications to Slack, email, or ticketing systems to keep stakeholders in the loop.
Agent Tool
Automate Space Event Reporting
Compile NASA data from multiple APIs — space weather events, asteroid approaches, rover milestones — into structured reports and distribute them via connected platforms. An agent can schedule and deliver these reports on a recurring basis.
Agent Tool
Enrich Records with NASA Imagery
Attach NASA satellite or rover imagery to records in connected systems such as CRMs, CMSs, or databases based on location or topic context. An agent can automate this enrichment to improve data quality and give records better visual context.
Get started with our NASA connector today
If you would like to get started with the tray.ai NASA connector today then speak to one of our team.
NASA Challenges
What challenges are there when working with NASA and how will using Tray.ai help?
Challenge
Managing NASA API Rate Limits and Key Quotas
NASA's public APIs enforce rate limits — the demo key allows only 30 requests per hour and 50 per day, while registered API keys are more generous but still need careful management. Workflows that fan out to multiple NASA endpoints or run at high frequency can exhaust quotas quickly, causing failures in production pipelines.
How Tray.ai Can Help:
tray.ai's workflow logic includes rate limit handling, retry strategies with configurable back-off, and scheduling controls that spread API calls across time windows. Your NASA API key lives in tray.ai's secure credential store and can be reused across workflows without exposing it in code.
Challenge
Paginating Through Large NASA API Result Sets
Endpoints like the NeoWs feed and Mars Rover Photos API return paginated responses — a single week of asteroid data can span dozens of pages. Handling pagination logic in custom scripts is error-prone and often results in incomplete data ingestion.
How Tray.ai Can Help:
tray.ai's loop and iterator primitives make it straightforward to paginate through NASA API responses automatically, processing each page sequentially or in parallel until all results are consumed — no custom recursive code needed.
Challenge
Transforming Inconsistent NASA API Response Schemas
Different NASA APIs return data in very different shapes. NeoWs nests objects by date key, the Mars Rover API returns arrays of photo objects with varying camera metadata, and DONKI events have unique field structures per event type. Normalizing these into a consistent downstream schema is a real data engineering burden.
How Tray.ai Can Help:
tray.ai's built-in data mapping and JSONPath tools let you visually transform and normalize complex nested responses from NASA APIs into clean, structured payloads ready for downstream systems like Airtable, Snowflake, or your CMS — without custom transformation code.
Challenge
Orchestrating Multi-API NASA Workflows Without Custom Infrastructure
Useful space data applications typically require combining data from multiple NASA endpoints — for example, correlating solar weather events from DONKI with satellite imagery from EPIC for the same time period. Building this kind of multi-source orchestration in-house means managing scheduling, error handling, and data joining across disparate API calls.
How Tray.ai Can Help:
tray.ai supports parallel branch execution, so multiple NASA API calls can fan out simultaneously and merge results in a single workflow step. Combined with conditional logic and error handling, you can build sophisticated multi-API NASA pipelines visually without managing any custom orchestration infrastructure.
Challenge
Keeping Downstream Systems Fresh as NASA Data Updates
NASA datasets like ISS location, near-Earth object tracking, and space weather events update frequently throughout the day. Teams relying on manual exports or infrequent batch jobs end up with stale data in their dashboards, reports, and AI agents — which defeats the purpose of having real-time scientific feeds in the first place.
How Tray.ai Can Help:
tray.ai's scheduler supports high-frequency triggers — from every few minutes to daily — so your NASA data pipelines can run continuously, keeping downstream systems like BigQuery, Airtable, and Slack populated with the most current data NASA's APIs have available.
Talk to our team to learn how to connect NASA with your stack
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Start using our pre-built NASA templates today
Start from scratch or use one of our pre-built NASA templates to quickly solve your most common use cases.
Template
Daily APOD to Slack and CMS
Every morning, fetch the Astronomy Picture of the Day from NASA, format the title, image URL, and explanation, then post it to a designated Slack channel and create a new post draft in WordPress or Contentful.
Steps:
- Trigger on daily schedule (e.g., 8 AM UTC)
- Call NASA APOD API and extract title, date, image URL, and explanation
- Post formatted message with image to Slack channel
- Create draft post in WordPress/Contentful with full metadata
Connectors Used: NASA, Slack, WordPress
Template
Asteroid Close Approach Alert to PagerDuty and Airtable
Poll NASA's NeoWs feed daily for asteroids making close approaches within the next 7 days. Filter for objects classified as potentially hazardous, log them to an Airtable base, and trigger a PagerDuty incident for objects below a defined miss-distance threshold.
Steps:
- Trigger daily and call NeoWs API for the next 7-day feed window
- Filter response for objects where is_potentially_hazardous_asteroid is true
- Upsert each object record into Airtable with orbital and size data
- If miss distance falls below threshold, create PagerDuty incident
Connectors Used: NASA, Airtable, PagerDuty
Template
Mars Rover Photos to S3 and Airtable Gallery
Fetch the latest available Mars Rover photos from the NASA API each day, upload images to an S3 bucket organized by rover and sol date, and log metadata to an Airtable gallery view for easy browsing.
Steps:
- Trigger on daily schedule and call Mars Rover Photos API for latest sol
- Iterate over returned photos and upload each to S3 with structured key naming
- Write metadata record (rover name, camera, sol, Earth date, S3 URL) to Airtable
Connectors Used: NASA, AWS S3, Airtable
Template
Space Weather Digest Email via NASA DONKI
Each Monday morning, query NASA's DONKI API for solar flares, CMEs, and geomagnetic storm events from the past week, compile a formatted HTML digest, and send it to a distribution list via SendGrid.
Steps:
- Trigger every Monday at 7 AM and query DONKI for solar flare and CME events over the past 7 days
- Aggregate and format event data into an HTML email template
- Log event counts to Google Sheets for historical tracking
- Send formatted digest email to distribution list via SendGrid
Connectors Used: NASA, SendGrid, Google Sheets
Template
NASA Data Sync to BigQuery for Analytics
Nightly, pull close approach asteroid data and space weather event records from NASA APIs and load them into BigQuery tables for long-term trend analysis and BI dashboard reporting.
Steps:
- Trigger nightly and fetch NeoWs and DONKI API data for the current date
- Transform and normalize API responses to match BigQuery table schemas
- Stream insert rows into BigQuery, handling deduplication by event ID
Connectors Used: NASA, Google BigQuery, Google Sheets
Template
AI Space Briefing Agent with Slack Slash Command
Let team members type /spacebriefing in Slack to trigger an AI agent that queries NASA APOD, NeoWs, and DONKI in parallel, passes the results to an LLM, and returns a concise daily space briefing in the channel.
Steps:
- Listen for /spacebriefing Slack slash command as workflow trigger
- Fan out parallel calls to NASA APOD, NeoWs, and DONKI APIs
- Combine API responses and pass as context to OpenAI chat completion prompt
- Post formatted AI-generated briefing back to the requesting Slack channel
Connectors Used: NASA, Slack, OpenAI