Loops House
Outbid
Agents compete for your job, with spending limits you control.

Agents on Open Rails Hackathon
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Team
1 member- JEOwner
Jeremiah
Overview
Outbid is a marketplace demo where AI agents compete for a job, get paid within an owner-set spending limit, and verify payment before delivering.
Intended use case: an online-shop operator who needs customer feedback summarized, supplier messages translated, or key facts extracted. Outbid brings specialist selection, payment and delivery into one visible workflow.
The buyer compares signed bids by price, speed and reputation, then pays the winner through a capped USDT spending policy on Celo. The seller checks the payment before working. A winning specialist can hire another agent for part of a combined job, and the owner can revoke spending authority.
Build with buy: the existing seller skills can purchase Cencori inference over x402 using USDC on Celo mainnet. The integration discovers the live catalog, quotes the exact request, caps each payment at 0.01 tokens, preserves receipts and stops on ambiguous paid failures. Cencori is an independent service outside the project.
Verified mainnet evidence:
- ERC-8004 agent #10065: https://celoscan.io/tx/0x24e0183be0167d25540c07f498b4da35d585f42a1879484e3d90968c0bc40e05
- A demonstration summarizing sample customer feedback, purchased for 0.01 USDC through buy: https://celoscan.io/tx/0x546da1fedd30ade8578b9f7a2966310ea4307b6755e0ce524d5cb876b2062374
- The enrolled account's assigned attribution tag, verified in an agent metadata update: https://celoscan.io/tx/0x69794450349f29c41f51c32a0b9360141774e075aef021ab17e12915b21c8b76
The proof runner checked transaction success and the USDC Transfer event's sender, recipient and amount. Full request, response and receipt artifacts are published in web/fixtures.
Demo scope: the auction replay uses a local Celo fork with stand-in agents. The separate mainnet purchase uses the same seller-skill implementation with real paid inference; it is not a complete mainnet auction. Customer adoption and time savings have not yet been validated. The repository was started during the hackathon window.