Parallel

Live 29 Actions

Parallel Integration for AI Agents

Connect your AI agent to 29 QA'd Parallel actions via MCP, A2A, or SDK, with agent authentication, tool-calling execution, and security built-in.

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Parallel AI Agent Actions

29 production-ready actions for your agent to do more on Parallel.

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29 Actions

Search - Perform a web search with AI-powered relevance filtering

Extract - Extract content from one or more URLs

Chat Completions - Generate a chat completion with web research capabilities

Create Task Run - Create a new task run for structured web research. If the response is null or missing an id, the creation failed silently — do not treat it as success.

Retrieve Task Run - Retrieve a task run by ID

Retrieve Task Run Input - Retrieve the input of a task run

Retrieve Task Run Result - Retrieve the result of a completed task run. If the response contains type "error" with message "Run still active.", the run has not finished yet — that is a normal still-running signal, not a failure; wait briefly and call this action again.

Create Task Group - Create a new task group for batch task execution

Retrieve Task Group - Retrieve a task group by ID

Add Runs To Task Group - Add task runs to an existing task group

Stream Task Group Events - Stream execution events for a task group. When called via MCP tool_call, a null response is expected (SSE connection lifetime limits), not an error — the runs keep executing; poll with parallel_retrieve_task_group instead.

Retrieve Task Group Run - Retrieve a specific run within a task group

Create FindAll Run - Create an asynchronous FindAll run to discover entities. For plain company or person lookups, use parallel_entity_search instead (synchronous, one call) — choose this action only when the request explicitly needs a generator tier, an exclude list, webhooks, event streaming, or post-match enrichment.

Retrieve FindAll Run Status - Retrieve the status of a FindAll run

Retrieve FindAll Run Result - Retrieve results of a FindAll run. Returns a snapshot at the time of the request — works on active runs too, so call it to get partial results instead of waiting for completion.

Get FindAll Run Schema - Retrieve the schema of a FindAll run

Stream FindAll Events - Stream events for a FindAll run. When called via MCP tool_call, a null response is expected (SSE connection lifetime limits), not an error — the run keeps executing; poll with parallel_retrieve_findall_run_status instead.

Cancel FindAll Run - Cancel an active FindAll run

Extend FindAll Run - Extend the match limit of a FindAll run

Add Enrichment To FindAll Run - Add enrichment to extract structured data from FindAll matches. Can be called immediately after run creation — no need to wait for the run to complete or for matches to appear.

Fast Entity Search - Perform a fast synchronous entity search. Preferred for simple company or person lookups. When the request specifies a generator tier (base/core/pro), an exclude list, webhooks, streaming, or enrichment, use parallel_create_findall_run instead — though this action is also the right supplement for immediate preliminary results while a FindAll run is still matching.

Ingest FindAll Run - Generate a structured FindAll run spec (entity type, match conditions, generator, match limit) from a natural language objective. Does not start a run or return a findall_id — pass the returned spec to parallel_create_findall_run to execute the search.

List Monitors - List monitors with optional filtering

Create Monitor - Create a web content monitor

Retrieve Monitor - Retrieve a single monitor by ID

Update Monitor - Update an existing monitor

Trigger Monitor Run - Manually trigger a monitor execution

Cancel Monitor - Cancel an active monitor

List Monitor Events - List events detected by a monitor

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Integration Infrastructure for Parallel AI Agents

Multiple Interfaces

Access integrations via API, AI SDKs, MCP & A2A.

Parallel MCP server

Managed Authentication

Pre-built authentication UI.

Agent auth

Falcon Engine

Every Parallel action runs on Falcon.

Agent Execution Engine

StackOne Defender

88.7% prompt injection detection.

Prompt injection defense

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"What impressed us most about StackOne is its ambition and clarity. They're creating infrastructure that modern software and the entire AI agent ecosystem can rely on. The depth of secure integrations, the pace of delivery, and the team's foresight into AI's future uniquely position StackOne to redefine this category."

Luna Schmid, Partner at GV

"We've been impressed by how quickly and deeply StackOne integrates with complex enterprise systems -- and now, with their focus on agent-to-agent interoperability, they're unlocking even more powerful use cases for customers. StackOne delivers all of the above in a universal layer -- without compromise."