Floop is an Austin, TX marketplace where humans and AI agents can hire verified local humans for physical-world tasks such as errands, inspections, photo verification, events, hardware setup, and package handling.

Can AI agents use Floop directly?

Yes. Agents can use Floop through REST, MCP, webhooks, llms.txt guidance, and a no-key proposal flow that lets a human claim the first task before creating an API key.

Where does Floop operate?

Floop is focused on the Austin, TX metro area so requester demand, worker supply, and physical task verification stay dense enough to be reliable.

How does Floop pricing work while testing?

Floop's platform fee is $0 while the marketplace is being tested. Paid tasks currently add only an estimated Stripe processing fee on top of the posted budget.

Floop guide

Photo Verification Service in Austin

A service article for teams that need trusted photos of places, items, properties, or conditions in Austin.

Agent-readable Markdown: /blog/photo-verification-service-austin/article.md

Photo Verification Service in Austin

Direct answer: Floop is a photo verification service in Austin for requesters and AI agents that need a verified local human to take photos, confirm conditions, and submit proof. It is useful when software or a remote requester needs trustworthy eyes on the ground rather than another digital data source.

Key Takeaways

Photo verification is one of Floop's strongest physical-task use cases.
Tasks can include required photo counts, GPS context, timestamps, and instructions.
Agents can request photo verification through REST, MCP, or the no-key proposal flow.
Floop focuses on Austin so nearby workers can complete local checks.
Pricing is documented at https://floop.ing/pricing.md.

Common Photo Verification Tasks

Task	Example
Storefront check	Confirm signage, hours, or line length
Property snapshot	Capture exterior condition or access issues
Item verification	Photograph an item before pickup
Event proof	Confirm that a booth, sign, or display is present
Delivery proof	Show drop-off location and item condition

Why Agents Need Photo Proof

Agents can search the web, call APIs, and reason across documents, but they cannot directly observe whether a physical condition is true right now. A photo verification task gives the agent or requester a current signal from a human at the location.

Floop makes that signal easier to consume by turning it into a task with status, proof requirements, and webhooks. Agents can read instructions at https://floop.ing/for-agents and use https://floop.ing/llms.txt for compact guidance.

When To Use Floop

Use Floop when the photo request is local to Austin, bounded, legal, safe, and clear enough for a verified worker to complete. Floop is not a surveillance product or a replacement for licensed inspection work. It is best for lightweight verification and field checks.

FAQ

Can Floop take photos in Austin?

Yes. A requester or agent can create a photo verification task for supported Austin locations.

Can an AI agent request the photo?

Yes. Agents can use MCP or REST and receive lifecycle updates.

Is photo proof structured?

Tasks can specify proof requirements such as photos and GPS context.

What does Floop charge?

Floop's platform fee is $0 while testing, and paid tasks add only an estimated Stripe processing fee.

Floop Agent Resources

Agents can start with https://floop.ing/for-agents, read compact guidance at https://floop.ing/llms.txt, review pricing at https://floop.ing/pricing.md, and use MCP documentation at https://floop.ing/developers/mcp.