AI Agent: Make HTTP calls
planned
Z
Zy
Business Problem:
Right now, Respond AI Agents can't interact with external systems in real time — limiting their ability to trigger workflows, fetch dynamic data, or complete transactions. Without the ability to make HTTP calls, the AI is cut off from countless integrations and use cases that require external API access, forcing handoffs to humans or third-party automations.
Desired Outcome:
An AI Agent capability to
make HTTP requests (GET, POST, PUT, DELETE)
to external endpoints. This would allow AI Agents to fetch live data, check product availability, update CRM records, trigger automations, check order statuses, submit forms, or interact with custom services based on the conversation flow. This unlocks endless possibilities for customization, automation, and AI-driven execution.Use Case (All Lifecycle Phases)
*
Capture
: Call a lead enrichment API to personalize outreach.*
Convert
: Check shipping costs or create orders via third-party services.*
Retain
: Fetch ticket status or update records in real-time.With HTTP support, Respond AI transforms from a chat assistant into an action engine — fully capable of reading, writing, and reacting across your ecosystem in real time ⚙️🌐🚀
Alex Kemsley
Maybe mcp as well as webhook?
N
Nabilah Binti Salleh
Merged in a post:
AI Agent: Check Product Availability
Z
Zy
Business Problem
Currently, our platform lacks a dedicated feature for efficiently checking product availability (Stock inventory checking). This gap leads to challenges in inventory management, potential over-selling, or missed sales opportunities due to lack of real-time stock visibility. Sales and customer service teams may not have immediate access to up-to-date inventory information, impacting their ability to serve customers effectively.
Desired Outcome:
AI Agent 'Stock Check' objective that provides real-time visibility into inventory levels. This feature should enable quick and accurate stock level checks, helping in better inventory management, preventing stock-outs or overstock situations, and enhancing customer service by providing immediate and accurate stock information.
Use case (Capture and Convert):
This feature operates mainly in the Capture and Convert phases:
- In Capture phase, it helps prospects determine if their desired product is even available, reducing friction and building confidence.
- In Convert phase, it clears a critical blocker by ensuring the product is in stock, helping the AI push the customer to checkout without delay or confusion.
S
Shi Hui
planned