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Clockwork Recruiting Integration for AI Agents

Connect your AI agent to Clockwork Recruiting actions via MCP, A2A, or SDK, with agent authentication, tool-calling execution, and security built-in.

StackOne
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Clockwork Recruiting AI Agent Actions

16 production-ready actions for your agent to do more on Clockwork Recruiting.

16 Actions
List People - List the firm's people — candidates and contacts — with optional LinkedIn URL filter and sorting.
Get Person - Get a single person by ID, optionally embedding their preferred contact details, position and tags.
Create Person - Create a person (candidate or contact) in the firm, optionally tagging them and setting custom field values.
Update Person - Update a person's core record — name, biography, flags, tags, and which of their contact records are preferred.
Delete Person - Delete a person from the firm by ID.
Search People - Full-text search across the firm's people, with filters for date added, LinkedIn URL, and specific person IDs.
List Projects - List the firm's search projects, optionally filtered by status, project type, or assigned user.
Search Projects - Find projects by their client company — fuzzy name, company ID, or company LinkedIn URL.
Get Project - Get a single search project by ID, optionally embedding client company, lead, owner and placement details.
List Candidacies - List the candidacies on a search project — the people being considered for that role.
Get Candidacy - Get a single candidacy on a project by ID, optionally embedding the person, project and its notes.
Create Candidacy - Add a person to a search project as a candidate.
Update Candidacy - Update a candidacy on a project — move its pipeline stage, reassign the recruiter, or change its flags.
Delete Candidacy - Delete a candidacy from a project. Only candidacies with no notes attached can be deleted.
List Companies - List the firm's companies, optionally filtered by name, do-not-contact flag, or client-company status.
Get Company - Get a single company by ID, optionally embedding its tags and logo.

Clockwork Recruiting AI Agent Use Cases

Connect your AI agent to Clockwork Recruiting and help your team scale the recruiting operations they run by hand today.

Job Posting Distribution

Use StackOne to connect your AI agent to your ATS and job boards to automate job posting distribution.

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GreenhouseLeverAshbySmartRecruitersWorkableJobviteiCIMSTeamtailor
Reference Check Automation

Use StackOne to connect your AI agent to your ATS, survey tools, and messaging systems to automate reference checks.

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GreenhouseLeverWorkdayiCIMSSmartRecruitersAshbyTeamtailorSurveyMonkey
Offer Letter Generation

Use StackOne to connect your AI agent to your ATS, HRIS, and document management tools to automate offer letter generation.

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GreenhouseLeverAshbyWorkdayBambooHRPersonioHiBobGusto

Do More, Build Less

Integration Infrastructure for Clockwork Recruiting AI Agents

Multiple Interfaces

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

Clockwork Recruiting MCP server
Managed Authentication

Pre-built authentication UI.

Agent auth
Falcon Engine

Every Clockwork Recruiting 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

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Clockwork Recruiting AI agent integration resources

Unified API Limitations for AI Agent Integration: 7 Ways They Break

Unified APIs work for traditional software but fail AI agents in specific, measurable ways. Here are 7 problems we found after building both approaches, with examples from Workday, Greenhouse, Jira, and Salesforce.

14 min

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.

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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.