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Lofty’s AI endpoints give you programmatic access to intelligent features built on top of lead and call data. You can retrieve AI-generated analysis of lead behavior, get summaries of recorded calls, generate personalized call scripts, and pre-compute insights to speed up downstream AI operations. This guide walks through each AI feature and shows you how to integrate them into your workflow.
All AI endpoints require appropriate OAuth permission scopes granted in the Developer Portal. Ensure your application has the necessary AI scopes before calling these endpoints. Requests made without the required scopes will return a 403 Forbidden response.
Lead analysis
Generate and retrieve AI summaries of a lead’s behavior, engagement patterns, and likely intent.
Call summary
Automatically extract key points and action items from recorded calls with a lead.
Call script
Generate a personalized outreach script tailored to a lead’s profile and interaction history.
Prepare insight
Pre-compute insights for a lead to accelerate subsequent AI operations like lead analysis.
Lead analysis returns an AI-generated summary of a lead’s behavior and engagement with your team. Use the GET endpoint to retrieve an existing analysis, or the POST endpoint to generate a new one on demand.Retrieve an existing analysis
The response includes an AI-generated summary covering the lead’s engagement patterns, communication preferences, and recommended next steps based on their history in Lofty.
Call Prepare insight before generating lead analysis. Pre-computing insights improves the quality and relevance of the analysis output.
Call summaries extract structured information from recorded calls, including key discussion points and recommended action items. Use the GET endpoint to fetch an existing summary, or trigger generation with POST.Retrieve an existing summary
The call script endpoint generates a personalized script for an upcoming call with a lead. The script is tailored to the lead’s profile, communication history, and current pipeline stage.
The response returns a structured script with an opening, suggested talking points, objection handling guidance, and a recommended call-to-action based on the lead’s history.
The prepare insight endpoint pre-computes AI insights for a lead and stores them for use by other AI endpoints. Calling this endpoint before lead analysis or before generating a call script gives the AI more context to work with, resulting in higher-quality output.
Insight preparation runs asynchronously. The response confirms the request was accepted; the computed insights will be available to downstream AI endpoints once processing is complete.