Every agent action, on the record. A storefront where ChatGPT shops for you via WebMCP — and every move it makes is printed on a tamper-evident receipt trail you govern with standing rules.\n
Aggregate36
Leverage10
Execution8
Impact9
Creativity9
Each criterion 1–10, equally weighted; aggregate is their sum. Ranking is the pipeline's consolidated output.
Origin, access model, eligibility, and substitution are reviewer diagnostics, not judging criteria. Authentication requirements are not penalized.
02 The two blind reviews
Two independent reviewers scored this project blind, from a sanitized evidence packet.
Scores are shown separately so the reasoning stays inspectable. A withheld score means the reviewers differed by more than two points.
Reviewer A (round 1)
confidence 70%
Leverage
9 /10
Human-gated pending tool calls, abort handling, policy citations, and shared receipt state are capabilities ordinary browser clicking cannot provide reliably.
Evidence cited
ABOUT describes request_checkout pausing for approval and returning pending_approval with receipt id.
ABOUT says get_recent_receipts exposes the same hash-chained trail to agent and human.
Execution
6 /10
The product contract is detailed and coherent, but there is no video and only one gallery image, so actual checkout completion is not sufficiently evidenced.
Evidence cited
ABOUT specifies checkout, approval, abort, receipts, standing rules, and refunds.
FACTS reports live demo and public repo but no submitted video.
Impact
9 /10
Trustworthy delegation of purchases addresses a clear agent-commerce barrier and gives shoppers understandable control and accountability.
Evidence cited
Pitch targets shoppers delegating real storefront purchases.
Standing rules and one-tap approval/undo directly address money-risk concerns.
Creativity
8 /10
The receipt trail as a first-class bidirectional agent-human governance surface is a strong, memorable extension of commerce checkout.
Evidence cited
Tamper-evident receipts, policy citations, pending calls, and abort semantics are integrated into the purchase model.
Reviewer B (round 2)
confidence 76%
Leverage
10 /10
Policy-bound, human-gated purchase calls that can pause, resume, abort, and expose the same receipt state to agent and human are fundamentally stronger than UI automation.
Evidence cited
About text specifies pending_approval, receipt polling, abort signal handling, standing-rule citations, and shared get_recent_receipts.
Pitch centers on every agent action being governed and recorded.
Execution
8 /10
The described flow is unusually complete for commerce governance, with a coherent trust model and concrete state transitions; no video limits direct verification.
Evidence cited
Demo is reported alive and a public repository exists.
Description covers catalog search through checkout, approval/denial, receipts, and undo/refund.
Impact
9 /10
Agentic purchasing has a clear trust and accountability problem, and this directly addresses human oversight of consequential transactions.
Evidence cited
Standing rules and one-tap approval target a concrete safety concern.
Receipt trail gives shoppers an auditable record of agent actions.
Creativity
9 /10
Combines storefront commerce with governance primitives, live approval, and tamper-evident accountability in a memorable interaction model.
Evidence cited
Human-gated async checkout and hash-chained receipt trail are central product concepts.
03 Review highlights
Standouts across reviewers
Approval that can suspend a tool call mid-execution.
Shared receipt trail with standing-rule citations.
Strong shared-state governance concept and concrete safety controls.
Red flags
Very thin visual evidence: one gallery image and no video.
Claims of tamper evidence and refunds are not independently verified in packet.
No submitted video; end-to-end behavior is claimed rather than observed.
04 Evidence
What each artifact proves is labeled on the artifact itself. A Devpost page capture is packaging evidence, not proof the product runs;
video frames are evidence from the submitted demo, not live verification.
Contact sheets from the ?s video the team submitted. This is what reviewers were shown;
it demonstrates the product in motion but is not independent verification.
· watch the original
EX-V1 Sheet 1 of 3 · reported video evidenceEX-V2 Sheet 2 of 3 · reported video evidenceEX-V3 Sheet 3 of 3 · reported video evidence
