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The human API for AI agents. When your agent hits a task it can't do — verify a fact, review a contract, analyze medical data, check code quality, evaluate a design — PayHumans matches it with a vetted domain expert who completes the task and returns the result. Zero setup required. Call register_agent to get an API key and $50 free credits instantly. No login, no credit card, no approval process. Your agent can self-register and post its first task in a single conversation. Expert domains avail

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Unhealthy
Last Tested
Transport
Streamable HTTP
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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes, but there is some overlap between experts.search and search_humans, which both search for human experts with similar parameters, potentially causing confusion. Other tools like jobs.complete and release_payment also share payment-related functions but are differentiated by context and workflow steps.

Naming Consistency4/5

The naming follows a consistent snake_case pattern with a clear verb_noun structure, such as agents.register, jobs.create, and messages.send. Minor deviations exist, like approve_match and raise_dispute using single verbs without a noun, but overall the convention is predictable and readable.

Tool Count5/5

With 17 tools, the count is well-scoped for the server's purpose of managing human expert tasks, covering registration, job posting, expert search, messaging, payments, and disputes. Each tool serves a specific role in the workflow, making the set comprehensive without being overwhelming.

Completeness5/5

The tool surface provides complete coverage for the domain of human expert task management, including agent setup, job lifecycle (create, get, list, complete), expert interaction (search, get, messaging), payment handling (release, confirm), and dispute resolution. No obvious gaps are present, supporting end-to-end workflows.

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