No-Code Platform for Enterprise AI. Build, deploy, and scale AI workflows without code.
No-Code Platform for Enterprise AI. Build, deploy, and scale AI workflows without code. On Nagent, Stack Ai is exposed as a fully-configurable artificial intelligence integration that any agent can call — 22 actions, and API key authentication. No code is required to wire Stack Ai into your workflow — connect it once via the External Integrations panel and reuse it across every agent you build.
Agent builders use Stack Ai to automate the kinds of tasks artificial intelligence 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 Stack Ai 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 Stack Ai, with input parameters and output schema. Drop these into any step of an agent built in Helix.
STACK_AI_CHECK_HEALTHTool to check the health status of the Stack AI API. Use to verify API availability and service status.
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
STACK_AI_GET_ACTION_INPUTSTool to retrieve the input schema for a specific provider action in Stack AI. Use when you need to understand what parameters are required for a provider action.
Input parameters
The ID of the action to get inputs for (e.g., 'database_delete_airtable').
The ID of the provider (e.g., 'airtable', 'slack', 'notion').
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
STACK_AI_GET_ACTION_OUTPUTSTool to retrieve the output parameters schema for a Stack.ai provider action as JSON schema. Use when you need to understand what data fields an action returns or to validate action outputs.
Input parameters
The unique identifier of the action within the provider (e.g., 'database_delete_airtable'). Used in the URL path to specify which action's output schema to retrieve.
The unique identifier of the provider (e.g., 'airtable', 'slack'). Used in the URL path to identify which provider's action to query.
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
STACK_AI_GET_CONNECTOR_TYPE_SCHEMATool to retrieve the configuration schema for a specific connector type in Stack AI. Use when you need to understand what parameters are required to configure a connector.
Input parameters
The unique identifier for the connector type (e.g., 'airtable', 'notion', 'slack').
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
STACK_AI_GET_LICENSE_STATUSTool to retrieve the current Stack AI license status. Use when you need to check license validity, expiration date, or days remaining.
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
STACK_AI_GET_PROVIDERTool to retrieve details of a specific Stack AI tool provider. Use when you need information about available actions, triggers, and configuration for a provider.
Input parameters
The unique identifier of the provider to retrieve (e.g., 'airtable', 'slack', 'github')
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
STACK_AI_GET_PROVIDER_ACTIONTool to get details of a specific action for a provider. Use when you need information about a provider's action including its parameters, description, and API details.
Input parameters
The unique identifier of the action for the provider.
The unique identifier of the provider (e.g., 'gmail', 'slack').
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
STACK_AI_GET_PROVIDER_ICONTool to fetch a provider icon image by provider identifier. Use when you need to retrieve the icon for a tool provider.
Input parameters
Provider identifier string (e.g., 'airtable', 'slack').
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
STACK_AI_GET_PROVIDER_TRIGGERTool to retrieve detailed information about a specific trigger for a provider. Use when you need to understand the configuration, inputs, outputs, or behavior of a specific trigger.
Input parameters
The unique identifier of the trigger to retrieve (e.g., 'on_record_change', 'new_message').
The unique identifier of the provider (e.g., 'airtable', 'slack', 'github').
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
STACK_AI_GET_ROOTTool to retrieve information from the Stack AI API root endpoint. Use when you need to verify API connectivity or get basic API information.
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
STACK_AI_GET_TRIGGER_BY_PROVIDERTool to retrieve detailed information about a specific trigger from a provider. Use when you need to get trigger configuration, capabilities, or metadata for a specific provider's trigger.
Input parameters
The unique identifier of the trigger (e.g., 'on_record_change').
The unique identifier of the provider (e.g., 'airtable', 'slack').
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
STACK_AI_GET_TRIGGER_INPUTSTool to retrieve the input parameters for a trigger as a JSON schema. Use when discovering what data inputs a specific trigger requires before executing it.
Input parameters
Identifier for the specific trigger to retrieve input schema for (e.g., 'custom_webhook').
Identifier for the provider (e.g., 'stackai' for Stack AI providers).
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
STACK_AI_GET_TRIGGER_OUTPUTSTool to retrieve the output schema for a specific trigger in Stack AI. Use when you need to understand what fields a trigger will produce when it fires. This action helps discover the structure of data that will be available from a trigger event, which is useful for configuring workflows and data processing.
Input parameters
The unique identifier of the trigger (e.g., 'on_record_change', 'on_contact_update'). This identifies the specific event type being monitored.
The unique identifier of the provider (e.g., 'airtable', 'salesforce'). This identifies which external service the trigger is connected to.
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
STACK_AI_LIST_CONNECTOR_TYPESTool to list all available connector types from Stack AI. Use when you need to retrieve the available connectors that can be configured.
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
STACK_AI_LIST_INTEGRATIONSTool to list all available Stack AI integrations. Use when you need to discover available integrations, actions, and triggers in Stack AI.
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
STACK_AI_LIST_PERMISSION_GROUPSTool to list all permission groups with their associated permissions. Use when you need to retrieve available permission groups and their permissions for access control management.
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
STACK_AI_LIST_PERMISSIONSTool to list all available permissions in Stack AI. Use when you need to view or check available permission types.
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
STACK_AI_LIST_PROVIDER_TRIGGERSTool to get all available triggers for a specific provider. Use when you need to discover what trigger types are supported by a provider.
Input parameters
The identifier of the provider to list triggers for.
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
STACK_AI_LIST_STACKAI_ACTIONSTool to list all available Stack AI tool actions. Use when you need to discover available automation capabilities organized by provider.
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
STACK_AI_LIST_STACKAI_PROVIDERSTool to list all Stack AI tool providers (integrations). Use when you need to discover available integrations and their capabilities. Returns comprehensive information about each provider including available actions, triggers, and metadata.
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
STACK_AI_LIST_STACKAI_TOOLSTool to list all Stack AI built-in tools. Use when you need to discover available Stack AI native tools and their capabilities.
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
STACK_AI_LIST_STACK_AI_TRIGGERSTool to list all available Stack AI tool triggers. Use when you need to discover what triggers are available in the Stack AI platform.
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 65 agents privately built on Nagent that already use Stack Ai.
Build on Nagent
Connect Stack Ai 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 Stack Ai, and click "Connect Now." You'll authenticate with an API key — Nagent handles credential storage and refresh automatically. Once connected, Stack Ai is available to any agent in your workspace.
No. Nagent provides no-code integration for every tool. Once Stack Ai is connected, you configure its 22 actions directly in the agent builder UI — no API calls, no boilerplate, no schema management.
Helix — Nagent's agentic agent builder — lets you drop Stack Ai 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 Stack Ai event fires, the agent kicks off automatically.
Every Stack Ai 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 Stack Ai ships with 22 pre-built artificial intelligence actions, you can layer custom logic around them inside Helix — pre/post-processing steps, conditional branches, retries, or stitching Stack Ai together with other connected tools. For deeper customization, talk to our team about Nagent's Agentic AI Lab — forward-deployed engineers who build Stack Ai-based workflows tailored to your business.