Closed Beta

When an AI agent recommends a product,
the Match-Moment happens here.

Three things must align: the publisher's content, the brand's product, the user's intent. Nexbid is the rail where they meet — open, transparent, no lock-in.

Already 20+ companies on the waitlist.

14K+
Recipes Enriched
62
Formally Verified Theorems
10
Targeting Dimensions

How the Match-Moment happens

Three things must align — and that's exactly what Nexbid does.

Content

of the publisher

×

Product

of the brand

×

Intent

of the user

✦ Match-Moment

→ Enriched Snippet

Why Nexbid?

Agentic commerce for everyone — not just the biggest players.

Agentic-First

AI agents negotiate on behalf of publishers and advertisers. Context-based, not cookie-based.

Privacy-Native

No cookies, no fingerprinting. Contextual + agent-based signals. GDPR-compliant by design.

Standards-Open

AdCP v2.0, OpenRTB, Prebid.js — Nexbid speaks the language of your existing stack.

Fair Value Chain

No 30-70% revenue loss to intermediaries. Direct negotiation between agents — for publishers and advertisers.

100% Transparent

Every auction decision is traceable. No black box. Transparent auctions, open standards.

No Vendor Lock-in

Self-hosted or managed. Your data, your server, your rules.

5 of 6 Ecosystem Layers

From catalog readiness through discovery to protocol layer — Nexbid covers 5 of 6 layers in the AI commerce ecosystem. OpenAI and Google cover just 2 each.

Curation over Overload

Agents receive 3–5 curated recommendations instead of 10,000 listings. Optimized for relevance and purchase probability — no clickbait.

Nexbid vs. Walled Gardens

The protocols chosen today will define the next decade.

Nexbid(AdCP)
OpenAI(ACP)
Google(UCP)
Ecosystem Layers
5 / 6
2 / 6
2 / 6
License
MIT (Open Source)
Proprietary
Proprietary
Vendor Lock-in
None
High
High
Revenue Share
90/10
~96/4
Google-controlled
Privacy
Privacy-native
Platform-controlled
Google ecosystem
MIT Licensed · No Lock-in · Open Rails
Live Demo

14,000+ Recipes — AI-Enriched

Betty Bossi is the first partner in the Nexbid ecosystem. Every recipe is enriched with 10 targeting dimensions — from cuisine style to difficulty to seasonality. Initially via local LLMs, maintained via Gemini Flash.

Cuisine StyleMeal TypeDifficultyBudgetTimeSeasonAudienceOccasionsEquipmentCooking Method
Browse Recipes
7'194
DE Rezepte
7'197
FR Recettes
10
Dimensions
100%
Enriched

How AI agents find your products

User

"I'm looking for a product..."

AI Agent

ChatGPT, Claude, Gemini

Nexbid

Discovery API

Advertiser

Website & Checkout

Publisher Context API

Contextual Signals

Direct Integration

MCP Server & Feeds

Visibility
Discovery
Consideration
Purchase

Standards & Protocols

Nexbid builds on open standards — no proprietary protocols.

AdCP v2.0
Phase 1 (MVP)
MCP
Phase 1 (MVP)
OpenRTB 2.6
Phase 2
Prebid.js
Phase 2
ARTF v1.0
Phase 2
GPP 1.1
Phase 2
TCF 2.2
Phase 2
A2A v0.3
Phase 3

Roadmap

Phase 0

Closed Beta + GO

Q1 2026

  • Discovery API + MCP Server live
  • 40+ publisher & advertiser interviews (DACH)
  • GO decision 2026-04-10
  • Founding Customer program launched
Sprint 1-3

Agent Discovery + Settlement

April 2026

  • Agent Discovery hardening + 19 MCP tools
  • Enriched Snippet Billing + Publisher Dashboard
  • ACP-Interop + Prebid + Quality Gates
  • x402 Mainnet live + Wallet-Pay Magic-Link
Sprint 4

Customer Portal + Multi-Rail

May-June 2026

  • Customer Portal Phase 1 (Advertiser Self-Serve)
  • Brand-Agent-Wizard 8 steps
  • Verified Agent Delivery + AAO Coalition
  • Universal Purchase Mandate pilot (FOCUSWATER)
Active
Sprint 5-6

OpenAI Bridge + Consumer Layer

July-October 2026

  • OpenAI CPC Bridge via StackAdapt
  • Customer Portal Phase 2 (Publisher) + Phase 3
  • Consumer Layer Grade 2 (Click-to-Pay + Wallet)
  • Criteo Fast-Follow + AdCP v3 Self-Attested

Built on Open Standards

MCPAdCP v2.0OpenRTBPrebid.jsNeonVercel

Closed Beta

Nexbid is in closed beta. Apply now for a spot.