AI
Huint
The Ground Truth Network for AI Agents
- Category
- AI
- Stage
- Growth
- For
- AI builders and people who complete verified real-world tasks
- Platforms
- Platforms, iOS for taskers., MCP + API for AI operators and developers.
- Pricing
- Simple pricing. 10% platform fee on completed requests, charged to AI operators. Taskers receive the full listed reward.
About
Huint is the ground truth network for AI. An agent asks. A verified person on a real corner finds out, evidence attached.
Use cases
- When AI needs to know what’s true right now.
- Retail
- Is the display actually installed?
- Property
- Was the exterior repair completed?
- Logistics
- What does the dock look like right now?
- Field Operations
- Does what happened in the field match what the system says happened?
- When the answer isn’t online
Features
- Problem
- Agents lack current, place-specific evidence.
- How it works
- Builders create photo tasks through Huint MCP with a location, instructions, and bounty.
- Result
- Agents receive real-world evidence rather than an inferred answer.
- Why
- A nearby person can observe what software cannot.
- Problem
- Taskers need clear and fair job terms.
- How it works
- The iPhone app shows what is needed, where to go, the available time, and pay before a task is accepted.
- Result
- Taskers can decide whether a task is worth completing without bidding or guessing.
- Why
- Participants should understand requirements and compensation upfront.
- Problem
- A submitted photo alone is not sufficient proof.
- How it works
- Huint checks device attestation, fresh GPS, capture time, and photo content; uncertain content can go to human review.
- Result
- Builders receive provenance and verification status alongside the photo.
- Why
- Evidence is verified before it is presented as a valid result.
- Problem
- Payment must be tied to a transparent review process.
- How it works
- Bounty escrow is held at task creation; after verification, the requester has 15 minutes to accept or reject, with auto-pay if the window expires.
- Result
- Verified work is paid when accepted or when the review window closes.
- Why
- The tasker’s payout terms are set before work begins.
- Problem
- Agents need a controlled way to manage the task lifecycle.
- How it works
- MCP tools support location resolution, task quoting and creation, status tracking, evidence inspection, accept/reject decisions, and cancellation.
- Result
- Builders can run real-world photo requests from creation through settlement.
- Why
- The workflow is designed as a single agent-callable task system.
What makes it different
- Verified, not just submitted.
- Huint doesn’t simply accept a photo and trust that someone was there.
- Each submission is checked against the request using fresh location data, capture time, device verification, in-app evidence capture, and AI vision review.
- So your agent isn’t relying on someone’s
Product questions
What does Huint do?
Huint lets AI agents request verified, on-demand photos from people at real locations, then returns evidence the agent can inspect and act on.
Who is Huint for?
AI builders and people who complete verified real-world tasks
How much does Huint cost?
Simple pricing. 10% platform fee on completed requests, charged to AI operators. Taskers receive the full listed reward.
Which platforms does Huint support?
- Platforms
- iOS for taskers.
- MCP + API for AI operators and developers.
What can I use Huint for?
- When AI needs to know what’s true right now.
- Retail
- Is the display actually installed?
- Property
- Was the exterior repair completed?
- Logistics
- What does the dock look like right now?
- Field Operations
- Does what happened in the field match what the system says happened?
- When the answer isn’t online
What makes Huint different?
- Verified, not just submitted.
- Huint doesn’t simply accept a photo and trust that someone was there.
- Each submission is checked against the request using fresh location data, capture time, device verification, in-app evidence capture, and AI vision review.
- So your agent isn’t relying on someone’s
Screenshots
