- This gives AI agents and businesses a direct, programmatic route to large amounts of high-quality, human-generated data.
- So far, investors such as Placeholder, Hack, Polychain, DBA, and Delphi Ventures have contributed $65 million to the platform.
In order to simplify human-agent coordination, Human API has come out of stealth and released its solution. For effective project management, the first-of-its-kind platform allows AI agents to assign work directly to people.
The Human API provides the essential infrastructure that allows AI agents to communicate directly with people. It was created by Eclipse, the company behind the fastest Ethereum L2 powered by the Solana Virtual Machine (SVM). By accomplishing this, the “last mile” problem—where agents are unable to engage in real-world interactions—is resolved.
Agents must depend on human inputs, such as judgment and labor requiring physical presence, in order to do economically valuable activities. This gap is successfully filled by human API, which enables human-agent collaboration and expands the potential of AI.
The Human API platform serves as an execution and coordination layer for agent-native systems. Human contributors may explore jobs, accept assignments, and do suggested work, including voice recordings, after registering an account. After submissions are reviewed, Stripe Connect is used to pay for the work that is accepted. This gives AI agents and businesses a direct, programmatic route to large amounts of high-quality, human-generated data.
Tasks that are simple for humans but challenging or costly for computers are increasingly encountered by AI agents as their capabilities increase. High-context tasks like deciphering spoken language or recording complex audio are among them. This is addressed by Human API, which facilitates an agent-native workflow in which AI agents may directly request human input instead of relying on centralized vendors or systems created just for human users.
In stealth mode, Human API helped a top-tier AI lab create a studio-quality audio dataset, showcasing the platform’s capacity to generate high-fidelity speech data that incorporates linguistic complexity and nuanced accents. The platform will grow into other data kinds and job categories, such as computer use statistics and work that needs real-world execution, including logistics, even though the Human API’s first revenue model will concentrate on licensing voice data to AI laboratories.
So far, investors such as Placeholder, Hack, Polychain, DBA, and Delphi Ventures have contributed $65 million to the platform. In order to move away from human-centric systems that see AI agents as second-class players and toward an agent-native environment where people are incorporated as financially compensated collaborators, Human API has received financing.
The Human API will serve as a fundamental component in the development of AI by formalizing the interactions between people and agents. By doing this, it opens up a new market where human abilities that are still hard to automate can be made profitable on a global scale and provides AI businesses with the high-quality data they need to succeed.
The first platform designed to allow AI agents to communicate directly with people is Human API. The Human API, which was created using an agent-native, agent-first request-for-data flow, allows agents to source high-quality human input at scale and gives contributors worldwide the opportunity to be paid quickly for jobs that are simple for people but difficult for AI.
