SiteSpeakAI enables businesses to automate customer support by creating custom-trained, embeddable GPT chatbots that provide real-time answers about products and services, reducing support tickets.
SiteSpeakAI enables businesses to automate customer support by creating custom-trained, embeddable GPT chatbots that provide real-time answers about products and services, reducing support tickets. On Nagent, Sitespeakai is exposed as a fully-configurable ai chatbots integration that any agent can call — 4 actions, and API key authentication. No code is required to wire Sitespeakai into your workflow — connect it once via the External Integrations panel and reuse it across every agent you build.
Agent builders use Sitespeakai to automate the kinds of tasks ai chatbots teams previously handled manually. Concrete examples — each one is a single agent step in Nagent — include:
Every action and trigger is paired with a structured input/output schema (visible in the sections below), so when you wire Sitespeakai into Helix — our agentic agent builder — the editor knows exactly what each step expects and produces. Configure once, deploy anywhere across your Nagent agents.
Every operation an agent can call against Sitespeakai, with input parameters and output schema. Drop these into any step of an agent built in Helix.
SITESPEAKAI_GET_LEADSTool to retrieve all leads for your chatbot. Use when you need to access contact information captured through chatbot interactions.
Input parameters
The ID of your chatbot
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
SITESPEAKAI_GET_PROMPTSTool to retrieve smart prompts available for a chatbot. Use when you need to list prompts before selecting or managing them.
Input parameters
Unique identifier of the chatbot
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
SITESPEAKAI_GET_USERTool to retrieve details of the authenticated user account. Use after obtaining a valid bearer token and when you need the current user's profile.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
SITESPEAKAI_LIST_CHATBOTSTool to list all chatbots. Use when you need an overview of every chatbot linked to your account. No parameters required.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
No publicly available marketplace agent is found using this tool yet. There are 63 agents privately built on Nagent that already use Sitespeakai.
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Connect Sitespeakai to any Nagent agent in minutes — no API key management, no boilerplate. Just configure and deploy.
The five questions agent builders ask before adopting a new integration.
Open the External Integrations panel inside Nagent (app.nagent.ai/externalIntegration), find Sitespeakai, and click "Connect Now." You'll authenticate with an API key — Nagent handles credential storage and refresh automatically. Once connected, Sitespeakai is available to any agent in your workspace.
No. Nagent provides no-code integration for every tool. Once Sitespeakai is connected, you configure its 4 actions directly in the agent builder UI — no API calls, no boilerplate, no schema management.
Helix — Nagent's agentic agent builder — lets you drop Sitespeakai steps into any workflow visually. Pick an action (e.g., one of those listed above), fill in the inputs (Helix knows the required vs. optional schema for each parameter), and connect it to upstream/downstream steps. Triggers run as the entry point of an agent, so when a Sitespeakai event fires, the agent kicks off automatically.
Every Sitespeakai action and trigger ships with a fully-typed schema — input parameters with name, type, required flag, and description, plus the output payload shape. The schemas are documented in the sections above. Helix uses these schemas to validate your configuration at build time and to type-check the data flowing between steps.
Yes. While Sitespeakai ships with 4 pre-built ai chatbots actions, you can layer custom logic around them inside Helix — pre/post-processing steps, conditional branches, retries, or stitching Sitespeakai together with other connected tools. For deeper customization, talk to our team about Nagent's Agentic AI Lab — forward-deployed engineers who build Sitespeakai-based workflows tailored to your business.