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Human API has launched a new platform designed to allow AI agents to directly hire human workers for specialized tasks, marking a shift in how artificial intelligence systems coordinate with people.
Announced on February 11, the Human API initiative positions itself as one of the first agent-native hubs where autonomous AI entities can assign, manage, and pay for work performed by verified human contributors.
The platform, built in partnership with Eclipse, aims to bridge what developers describe as the “last mile” of AI-to-human interaction—where software systems require physical presence, nuanced judgment, or access to information unavailable through automated tools.
Backed by $65 million in venture funding, Human API seeks to establish structured cooperation between AI agents and human workers at scale.
The launch of Human API follows a broader industry trend in which AI agents increasingly generate and assign tasks that still require human execution. While AI systems have advanced in automation, reasoning, and pattern recognition, certain forms of work remain beyond their reach.
According to the project’s overview, Human API converts AI-generated requests into structured assignments that verified human contributors can accept and complete. These tasks include activities requiring physical presence, voice recordings, language interpretation, contextual judgment, and the collection of hard-to-access information.
The platform describes itself as an “agent-native” coordination and execution layer. Human contributors create verified accounts, and all assignments pass through a review process. Payments are facilitated through Stripe Connect, enabling AI agents or associated companies to compensate workers at scale.
By formalizing this process, Human API aims to eliminate informal intermediaries and instead create a standardized environment where AI agents can reliably outsource tasks.
The project’s architecture is intended to support what it describes as “zero-person companies” and autonomous research initiatives, where AI systems operate with minimal direct human management but still rely on human execution when necessary.
At launch, Human API is focusing primarily on audio-related tasks, including language parsing and interpretation. Developers say these types of assignments highlight the limitations of current AI systems, particularly when dealing with nuanced speech, dialects, or culturally specific expressions.
While AI agents can process large volumes of text and structured data, certain audio-based tasks require contextual understanding that is not always economically viable or technically feasible for automation. Through Human API, agents can directly request human assistance for this type of high-context work.
The platform also intends to license audio data to AI laboratories, positioning itself as a structured marketplace for human-generated inputs. Over time, the project plans to expand beyond audio into additional data types. Logistics-based assignments that require real-world activities may follow in later phases.
The rise of agentic systems, including projects such as Moltbook, has intensified interest in how autonomous AI entities interact with the broader economy. As new AI agents emerge with tokenized capabilities and crypto-payment functions, platforms like Human API could serve as infrastructure for bridging digital automation with physical-world execution.
Human API revealed that it developed its product in stealth mode before completing a $65 million fundraising round. Investors include Polychain Capital, DBA, and Delphi Ventures. The funding, according to the company, will be directed toward building what it describes as an AI-centric environment where human participation is structured and rewarded.
The project has not specified which digital assets it may support for payments, though it noted that other platforms have used USDC as a default crypto-payment option. As AI agents increasingly operate with tokenized frameworks, payment infrastructure is expected to play a central role in scaling agent-to-human task markets.
