Get Started
What This Tool Does
Real examples of how the connector helps your AI agent take action; like sending messages, updating records, or syncing data across tools.
Real-Time Lookup
Retrieve live streaming data from specified Kinesis streams.
Example
"Fetch the latest 20 records from the 'user-events' stream."
Memory Recall
Replay recent event streams or batches for analysis.
Example
"Load and analyze last hour's events for anomaly detection."
Instant Reaction
Trigger a response when a new event is pushed to the stream.
Example
"Send an alert if any login failure event is detected."
Autonomous Routine
Periodically monitor stream throughput and errors.
Example
"Check Kinesis stream health every 5 mins and log if over threshold."
Agent-Initiated Action
Push custom events or perform stream operations on its own.
Example
"Inject a test event into the 'payment-events' stream for QA."
Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
AWS Lambda
Process streaming data with serverless compute
Amazon S3
Store processed streaming data for analytics
Amazon Redshift
Load streaming data for data warehousing
Try It with Your Agent
Stream real-time website clickstream data into AWS Kinesis and alert me if traffic exceeds the normal threshold within any 5-minute window.
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect AWS Kinesis in Fastn UCL: Navigate to the Connectors section and select AWS Kinesis to connect.
2
Authenticate using AWS credentials with permissions for Kinesis data stream operations.
3
Enable the actions “kinesis.put_record” and “kinesis.get_records” to allow data ingestion and retrieval.
4
Use the AI Agent to get records and set alerts by issuing relevant prompts.
Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.
