An agent-facing booking layer for expert networks and coaching platforms that exposes verified expertise, fresh availability, scoped pricing, hold and quote actions, and human-approved payment above defined limits.
Genesis score0.00/10
Make Mentorport real.0/500
500 more votes and Mentorport is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The case
Calendar infrastructure, agent-facing merchant directories, and agent-callable payment rails confirm the components, while no reviewed product made individual experts discoverable, bookable, and payable as one governed transaction. Credential claim, verification, availability observation, search result, quote, hold, human approval, booking instruction, provider acknowledgement, payment authorization, settlement, session completion, refund, dispute, payout, and learning outcome remain separate.
Who pays — and why
An expert network, coaching marketplace, tutoring platform, professional association, or education provider that already manages expert supply and wants demand from AI-assisted buyers. Expert count, buyer segment, booking volume, verification policy, calendar access, payment authority, support model, budget, and willingness to expose an agent surface remain unvalidated.
Market signalCalendar software was observed with a free individual tier and team plans around $12 and $28 per seat per month, while platform access requires a custom quote. These are infrastructure references, not evidence for Mentorport pricing or per-booking economics.Observed market reference, not fixed product pricing
What it unlocks
An expert profile separating identity, credential claim, verification source, verifier decision, domain, exclusions, language, jurisdiction, format, rate, cancellation terms, conflict disclosure, last review, and correction
A freshness record for calendar connection, observed availability, source timestamp, hold policy, hold expiration, timezone, buffer, capacity, manual blackout, stale threshold, provider acknowledgement, and destination readback
A transaction chain separating agent identity, human principal, delegated scope, search request, shortlist, quote, hold, low-value policy result, human approval where required, booking command, acknowledgement, payment authorization, settlement, session evidence, refund, dispute, and expert payout
A ranking policy that distinguishes verified fit, availability freshness, honored-booking history, buyer preference, commercial placement, uncertainty, conflict, correction, and outcome
How Genesis scored it
0.00across seven criteria
8
Asymmetric leverage
Profile normalization, search, freshness checks, quotes, holds, approvals and transaction records scale through software.
7
Temporal window
Recent agent-facing directory and transaction activity creates a current discovery and payment window.
4
Why nobody did it
Fresh calendar access, expert verification, delegated purchasing authority, holds, payments, cancellations, disputes and marketplace trust must align.
Why it scored well
Confirmed calendar infrastructure, a live agent-facing merchant directory, an agent-callable payment pattern, and no found individual-expert surface support a plausible platform product.
What's holding it back
The stored score is zero. The original two interfaces were unverified, there were no bank cross-references, directory participation terms are unpublished, expert credentials and availability can go stale, and the buyer, volume, payment liability, support cost, and willingness to delegate remain incomplete.
Signals detected3 sources crossed
SignalCalendar platform review
SignalAgent commerce infrastructure review
SignalGenesis competitive review
Direction briefmentorport.md
mentorport.md
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