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Live 32 Actions

Parallel Integration for AI Agents

Connect your AI agent to 32 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

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

32 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
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
Stream Task Run Events - Stream execution events for a task run
Stream Task Run Events (Beta) - Stream execution events for a task run using the beta endpoint with enhanced event data
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
Fetch Task Group Runs - Fetch runs from a task group as an SSE stream
Stream Task Group Events - Stream execution events for a task group
Retrieve Task Group Run - Retrieve a specific run within a task group
Create FindAll Run - Create a FindAll run to discover entities matching specific conditions
Retrieve FindAll Run Status - Retrieve the status of a FindAll run
Retrieve FindAll Run Result - Retrieve results of a FindAll run
Get FindAll Run Schema - Retrieve the schema of a FindAll run
Stream FindAll Events - Stream events for a FindAll run
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
Fast Entity Search - Perform a fast synchronous entity search
Ingest FindAll Run - Create a FindAll run from a natural language objective
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

Do More, Build Less

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
StackOne Defender Meta PG v1 Meta PG v2 DeBERTa 88.7% 67.5% 63.1% 56.9% Detection accuracy

88.7% prompt injection detection.

Prompt injection defense

"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."

Barbry McGann, SVP at Workday Ventures

G2 - High Performer G2 - Easiest To Do Business With G2 - Users Love Us G2 - Users Most Likely To Recommend G2 - Easiest Admin

Product Teams Love Building Agent Integrations With StackOne

G2

Parallel Agent Integration Resources

Agentic Context Engineering: Why AI Agents Kill Their Own Context Windows

AI agents exceed their context windows without knowing it. Six failure patterns and seven survival architectures for agentic context engineering.

15 min

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

11 min

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.