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
Perform real-time document classification using Nano Nets when a new document is uploaded.
Example
"Classify the uploaded invoice image and return the vendor name and amount using Nano Nets"
Memory Recall
Monitor document parsing accuracy and rejection rates.
Example
"Log failed document classifications in Nano Nets."
Instant Reaction
Notify team when Nano Nets fails to classify a document.
Example
"Send alert if invoice upload fails OCR extraction in Nano Nets."
Autonomous Routine
Monitor model performance on classification accuracy and failed document reads.
Example
"Send daily summary of documents with below 90% confidence score."
Agent-Initiated Action
Reprocess failed documents or route for manual review.
Example
"Flag document for human review if model confidence < 70%."
Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
Google Cloud Vision
Extract text from scanned documents
Slack
Notify on failed OCRs
Google Sheets
Store extracted data
Try It with Your Agent
Example Prompt:
"Run OCR with Nano Nets on scanned receipts and store the vendor names in Sheets."
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect Nano Nets in Fastn UCL: Navigate to the Connectors section and select Nano Nets, then click Connect.
2
Authenticate using your Nano Nets API key.
3
Enable “upload_image” and “extract_text” in the Actions tab.
4
Use the AI Agent to automate document OCR.
Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.
