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MoltAd Review

MoltAd allows advertisers to promote offers directly into AI agents, facilitating context-aware recommendations and decisions without human interaction.

shipped Aug 9, 2026agentspaid
agentsvideo
MoltAd — product screenshot

Why it matters

1MoltAd operates on a usage-based business model with specific agent-directed units.
2Pricing is credit-based, with CPR at 100 credits and CPD at 150 credits.
3The platform offers an API (https://moltad.net/mcp) for integration with AI agent workflows.
4MoltAd focuses on agent-mediated commerce, targeting AI agents rather than human consumers.

About MoltAd

Business Model
Usage-Based (Pay Per Use)
Usage Pricing
Variable pricing based on units per credits
Platforms
Web API
Target Audience
Advertisers looking to reach AI agents

Pricing Plans

CPR (Cost Per Recommendation)
Variable based on recommendation / per recommendation
  • • Pay only when an agent surfaces your offer
  • • Billed via report_conversion
CPIA (Cost Per Agent Impression)
Variable based on impressions / per impression
  • • Pay per delivery to an agent's visible context
  • • Reported via report_impression
CPPromo (Agent Coupon / Promo Unit)
Variable based on coupon usage / per coupon redeemed
  • • Deliver a machine-readable coupon directly to the agent
  • • Billed via report_conversion when redeemed
CPD (Cost Per Decision)
Variable based on decision / per decision
  • • Attributed when an agent selects your option
  • • Reported via report_conversion

Cost Examples

  • • Cost varies by execution and credits
  • • Full definitions and pricing can be found on the pricing page

Leadership

Chris Gu
API DocsGitHub

Specs

GitHub

View Repository →

API Available

Yes, public API

overview

What is MoltAd?

MoltAd is an Agent (other) tool developed by Chris Gu that enables Advertisers (other) to promote offers directly into AI agents. It facilitates context-aware recommendations and decisions without human interaction, utilizing various cost models like CPR, CPIA, CPPromo, and CPD, focusing on agent-mediated commerce.

features

Key Features of MoltAd

MoltAd's feature set is designed for agent-mediated advertising, enabling direct interaction with AI agent decision-making processes. Its core capabilities revolve around monetizing AI agent interactions and providing granular attribution for agent-driven outcomes.

  • Agent-mediated demand advertising for AI agents.
  • Focus (other) on recommendations and decisions made by AI agents.
  • Integration (other) with AI agent workflows via API.
  • Supports (other) machine-readable coupons and promotional offers.
  • Facilitates context-aware recommendations and decisions by AI agents.
  • Monetizes AI agent decision paths and recommendation steps as ad inventory.
  • Delivers agent-directed ad units such as Cost Per Recommendation (CPR) and Cost Per Decision (CPD).
  • Attributes agent actions including recommendations, decisions, and coupon redemptions.

use cases

Who Should Use MoltAd?

MoltAd is specifically designed for Advertisers (other) and businesses seeking to influence AI agent behavior in zero-click environments. Its primary application is in scenarios where AI agents act as intermediaries for user or company decisions.

  • Advertisers (other) looking to promote offers directly to AI agents making decisions on behalf of users or companies.
  • Businesses aiming to insert coupons, discounts, SKUs, and offers directly into AI agent recommendation paths.
  • Publishers and platforms seeking to monetize AI agent decision paths and recommendation steps as ad inventory.
  • Advertisers requiring attribution for agent actions such as recommendations, decisions, and coupon redemptions.

how to use

How to Use MoltAd

MoltAd operates by indexing the 'intent graph' of AI agents, allowing advertisers to inject offers directly into the agent's decision-making process. Integration is primarily achieved through its Web (technology) API.

  • 1Access the MoltAd API documentation at https://moltad.net/mcp.
  • 2Integrate the MoltAd API into your advertising platform or AI agent system.
  • 3Define specific offers, coupons, or SKUs for promotion.
  • 4Utilize agent-directed units (CPR, CPIA, CPPromo, CPD) to target AI agent interactions.
  • 5Monitor and attribute agent actions such as recommendations and coupon redemptions.

pricing

MoltAd Pricing & Plans

MoltAd employs a usage-based pricing model, where costs are determined by a credit system tied to specific agent-directed units. The conversion of credits to currency is not explicitly detailed on the MoltAd website.

  • CPR (Cost Per Recommendation): 100 credits per recommendation.
  • CPIA (Cost Per Agent Impression): 12 credits per agent impression.
  • CPPromo (Agent Coupon / Promo Unit): 70 credits per coupon/promo unit.
  • CPD (Cost Per Decision): 150 credits per decision.
  • MCP_SLOT: 25 credits per slot.

Pros

  • +Directly targets AI agents, enabling advertising in nascent agent-mediated commerce.
  • +Offers specific agent-directed ad units (CPR, CPIA, CPPromo, CPD) for granular control.
  • +Indexes AI agent 'intent graphs' for precise offer placement within decision workflows.
  • +Facilitates automatic settlement and attribution for agent actions like recommendations and redemptions.
  • +Provides an API for integration with existing AI agent platforms and advertising systems.

Cons

  • −Operates in a highly nascent market, potentially limiting immediate scale and adoption.
  • −Specific currency conversion for its credit-based pricing is not publicly detailed.
  • −Lack of readily available public user reviews or reception data.
  • −Requires integration with AI agent workflows, which may be complex for some advertisers.
  • −Limited information on recent updates, partnerships, or major feature announcements.

Policies

Pricing Page

View Pricing→

Similar Tools

MoltAd vs Competitors

MoltAd occupies a specialized niche in agent-mediated advertising, distinguishing itself from traditional ad platforms that optimize human-facing ads. Its focus is on influencing AI agent decisions in zero-click environments.

1
FMTC APIs↗

Provides an API for accessing human-validated deals and offers from various affiliate programs, allowing for targeted content.

Similar to Sovrn, FMTC is an affiliate network where advertisers list offers, and an AI agent would use the API to retrieve and present these deals, requiring the advertiser to be part of an affiliate program.

2
OpenAdServe↗

A self-hosted, open-source ad serving platform with machine learning-powered CTR prediction and smart targeting features.

OpenAdServe provides the core ad serving infrastructure that needs to be self-hosted and integrated, requiring more technical effort to connect with an AI agent compared to MoltAd's specialized platform.

3
Revive Adserver↗

The world's most popular free, open-source ad serving system, offering full control over ad selection and delivery.

As a self-hosted open-source ad server, Revive Adserver requires significant technical setup and customization to integrate offers into AI agents, lacking the direct 'promote into AI agents' feature of MoltAd.

See every MoltAd alternative, compared→

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