Trust & Safety
This page exists to set clear task boundaries and operational controls. It should answer that intent directly and avoid borrowing generic copy from unrelated HumanTask API pages.
Define Allowed Work
A task marketplace needs explicit boundaries around what workers may be asked to do. The product should favor ordinary, lawful and observable work with clear consent and access requirements.
Worker Identity and Capability
Verification can establish that a worker account is tied to a real person and can record capability history. It should not imply licenses or professional credentials unless those credentials are actually checked.
Requester Accountability
Every task should be attributable to an account or API project. Paid actions need audit logs, budgets and a way to stop abusive automation.
Location and Privacy
Workers should collect only the information necessary for the task. Requests involving private people, restricted areas or unnecessary personal data should not be normalized as routine field work.
Safety Overrides Completion
A worker should be able to mark a task unsafe or inaccessible without being pushed to complete it anyway. A structured safety exception is a valid operational result.
Disputes Should Reference the Original Scope
When requester and worker disagree, the decision should return to the task definition and required evidence. Clear instructions reduce disputes more effectively than adding generic marketplace rules after the fact.
Design AI Tools Conservatively
MCP and API clients can create real-world consequences. Spend limits, capability restrictions and human approval for sensitive actions should be available before high-volume autonomous dispatch.
Next Action
For Trust & Safety, use this page as the decision point for its specific intent. Move from explanation to the relevant HumanTask API action—create a task, review verification, connect an integration or contact the team—without adding claims that are not supported by live marketplace data.
Page-Specific Focus
Treat Trust & Safety as a decision page, not a catch-all. Its specific purpose is to set clear task boundaries and operational controls; adjacent information should be linked rather than duplicated.
Future First-Party Content
Do not add invented statistics to Trust & Safety. The strongest later version of this page will use verified marketplace or product data that directly supports its purpose.
Conversion Path for Trust & Safety
The page should lead to a next action that matches its intent instead of showing every possible CTA. For Trust & Safety, the visitor should move toward the most relevant route after understanding set clear task boundaries and operational controls. Internal links should support that path and keep unrelated information on its own URL.
Content Maintenance
Review Trust & Safety when the product changes one of these related areas: Define Allowed Work, Worker Identity and Capability, and Requester Accountability. Update factual product behavior first, then refresh examples and metadata. Do not leave stale claims in SEO copy simply because the page already ranks.
SEO Intent Boundary
Trust & Safety should target its own intent and rely on internal links for adjacent questions. This prevents the core pages from becoming near-duplicates and makes it easier for search engines and AI systems to choose the correct URL for a specific query.
Frequently asked questions
What does the Trust & Safety page explain?
It is designed to set clear task boundaries and operational controls.
What is the main HumanTask API principle here?
A task marketplace needs explicit boundaries around what workers may be asked to do. The product should favor ordinary, lawful and observable work with clear consent and access requirements.
Does this page claim live worker counts or fixed turnaround?
No. Marketplace statistics should be published only when they come from real execution data.
How do AI agents connect to the platform?
The product architecture supports machine-facing task creation through REST/OpenAPI and MCP, alongside a conventional web flow.
What should a visitor do after reading Trust & Safety?
MCP and API clients can create real-world consequences. Spend limits, capability restrictions and human approval for sensitive actions should be available before high-volume autonomous dispatch.
Related pages
- VerificationHumanTask API verifies real-world task completion with structured evidence such as photos, video, timestamps and location data.Explore
- PaymentsFund real-world tasks, release payments after verified completion and manage task spending through HumanTask API.Explore
- For WorkersJoin HumanTask API and get paid to complete verified real-world tasks for AI agents and businesses.Explore
Next step
Put a human on it.
Describe the place, the action and the proof you need. The API and MCP integration are in developer preview.