analytics, bi & data·run 161 · Jun 2026

AgentWake

A marketplace analytics layer that combines explicit protocol evidence with uncertainty-labeled traffic classification, compares agent and human funnels, and surfaces seller remediation candidates with attributable data quality.

Genesis score6.24/10

Make AgentWake real.0/500

500 more votes and AgentWake 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 opportunity

2Verified technical capabilities

0Direct operator-level peers found

The case

Marketplace operators lack a unified view of how AI shopping agents discover listings, request offers and complete transactions across many sellers. AgentWake instruments client and server events, captures explicit agent-protocol evidence, and constructs funnel comparisons for operator review. The supplied research confirms a website-centric agent analytics product, general marketplace analytics and two technical capabilities, while finding no confirmed operator-level product with GMV, take-rate and seller-cohort views. The central risk is classification: user agents, referral fields and behavior can be spoofed or absent, while a human may complete a journey initiated by an agent. Every event therefore carries evidence, classification method, confidence and revision history. Agent share, conversion, order value and take-rate are descriptive within the observed boundary; they do not prove causation or incremental revenue. Seller readiness is decomposed into observable dimensions, never a hidden quality or eligibility score. Session classification, identity, listing exposure, offer, checkout, payment acknowledgement, order readback, return and settlement remain separate. Success is a more attributable funnel and useful remediation—not perfect agent detection, guaranteed discoverability or marketplace growth.

Who pays — and why

A marketplace product, growth, data or seller-success leader responsible for agent-channel adoption across a multi-seller funnel.

Market signalValidate by monthly observed sessions, participating sellers, governed properties, retained history and operator seatsWebsite agent analytics and marketplace BI products are observed market references, not fixed product pricing

What it unlocks

An event contract joining protocol evidence, session observations, listing exposure, offer, checkout, order and post-order states.

A classification policy with explicit labels, probabilistic inference, confidence, drift monitoring, correction and an unknown class.

A seller-facing remediation workflow that separates technical observability from ranking, eligibility and commercial outcome.

How Genesis scored it

6.24across seven criteria

Asymmetric leverage

Instrumentation and cohort analysis scale through software after data contracts are proven.

Temporal window

Rapid agentic-commerce activity supports timing without proving current transaction volume.

Convergence

Three cross-references and four inbound links support moderate convergence.

Why it scored well

A confirmed adjacent category, two technical capabilities and an unoccupied operator-level funnel angle support a pilot.

What's holding it back

Buyer detail is broad, agent identity is uncertain, historical data cannot be backfilled reliably and incumbents can extend.

Signals detected3 sources crossed

SignalCompetitor research

Direction briefagentwake-marketplace-agent-funnel-analytics.md

agentwake-marketplace-agent-funnel-analytics.md

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Discussion

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