Agents with sufficient reasoning capability to plan tasks requiring physical-world human labor have no reliable infrastructure to actually hire, vet, and coordinate those workers—existing platforms like Upwork carry high transaction costs, slow turnaround, and poor signal quality. This bottleneck prevents agent systems from closing the loop on plans that require human execution, regardless of how capable the planning layer is. A marketplace purpose-built for agent-initiated human task delegation—with machine-readable contracts, rapid vetting, and low friction settlement—does not exist.

AI agents can plan tasks requiring physical-world human labor but have no API-native way to actually post jobs, vet workers, negotiate terms, and pay them — forcing human-in-the-loop bottlenecks that defeat the purpose of autonomous systems.

Developers building autonomous agent systems (e-commerce ops, property management, field research, logistics) that need to delegate physical or creative tasks to humans without manual intervention.

Agent builders today hack together Upwork scrapers or manual handoffs to close the physical-world gap — they'd pay for a clean API that lets their agent post a task, get matched to a vetted worker, and settle payment programmatically, because every manual step is a point of failure that kills autonomy.

MVP is a REST/WebSocket API where agents post structured task specs (JSON-schema contracts), a matching engine routes to pre-vetted workers via a mobile app, and escrow settlement triggers on verified completion — start with a narrow vertical like local errands or data collection to build supply.

The global gig economy is $500B+ and the agent orchestration layer is growing fast; even capturing 0.1% of gig tasks initiated by agents within 3 years implies a $500M+ GMV opportunity.