OJCP vs Topolog

The open standard for agent-consumable job feeds. Discover, reason over, and act on job opportunities with AI agents.

Topolog is a goal planner that models your plans as a directed graph and allows you to execute tasks in order, then schedules your days around them.

About OJCP

The open standard for agent-consumable job feeds. Discover, reason over, and act on job opportunities with AI agents. OJCP is shaped by employers, ATS vendors, job boards, staffing agencies, and agent platforms, each holding one seat, none holding a veto. Any MCP client can call search_jobs, get_job_detail, and begin_application out of the box. Providers MUST implement search_jobs ; all others are recommended. From discovery to application, real OJCP payloads your agents can use today.

About Topolog

Topolog is a goal planner that models your plans as a directed graph and allows you to execute tasks in order, then schedules your days around them. Topolog turns any goal into a dependency graph and schedules your days around it. Every plan is a real program, so the dates and odds are computed, not guessed. See the dependency structure, parallel branches, and where work bunches up, all in one canvas. Graph and list are two shapes of the same data, side by side.