The current version generates a Standard Analysis and an Advanced Analysis from a pricing page URL. Let’s explore this agent to see what it can do for you and how it works.

These work together to give you a 360-degree view of your pricing. Understanding pricing of your competitors and comparing it to your own pricing, and getting a buyer’s perspective, are all critical inputs into pricing renewal.

This is the first way most people are using this agent. They put in their own pricing page and look at the results. Some companies that do not make their pricing public feed the URL for their internal pricing documents.

The agent extracts data from the pricing page, enhances it, and then runs several different analyses (see below). The agent generates a snapshot of the current state of pricing, identifies strategic imperatives, looks at how value is created, and then assesses the pricing model using Michael Mansard’s COMPASS framework (see below) and provides a Pricing SWOT (Strengths, Weaknesses, Opportunity, Threats).

This provides product managers, sales teams, and pricing leaders with insights about their own pricing and direction on what they need to improve.

The competitive alternatives are always relevant to pricing. One of the best ways to use the Pricing Intelligence agent is to get reports on all the competitive alternatives and compare them. Comparing the Pricing SWOTs and the performance of each pricing model on the COMPASS framework is a good place to start.

Check out our Pricing Page Teardown of Lovable. Then compare Lovable with its direct competitors: Bolt, v0 from Vercel, Base 44, etc. Comparing pricing models can provide deep insights into comparative positioning and competitive strategy.

Buyers are also concerned with pricing models, and this goes beyond just the price (the number on the price tag). The pricing model (what the pricing tag goes on) also has a big impact on the long-term success of any purchase. Value is an especially important part of this. Pricing Intelligence reports have a section on value. Comparing the Ideal Customer for each solution and the value delivered for different use cases plays an important part in modern buying processes.

Pricing Intelligence currently provides two reports, a Standard Report (30 credits) and an Advanced Report (120 credits). Over the coming months, we will be adding additional reports at a pace of about one per month.

This report covers the essentials. One can generate up to six reports with just the 200 free credits that every user gets each month. It is most useful to get a quick understanding of a pricing page and to decide if an Advanced Report is needed.

One does not always need an Advanced Report.

The Advanced Report is equivalent to or superior to a pricing page analysis done by an experienced pricing consultant. These can cost anywhere from $5,000 to $30,000 when performed by human consultants, depending on the consultant’s experience, brand, and the depth of the report.

valueIQ plans to add additional reports each month. The next reports up are as follows:

Today, the Pricing Intelligence agent keys off the pricing page, and if there is no pricing page, there is no place to start.

Furthermore, the pricing page has to actually include prices. A page that just says ‘contact sales’ is not an actual pricing page.

Of course, many companies do not have a pricing page, or when they do, the information is incomplete. To address this, valueIQ is adding additional formats that the eData Extraction agent can work with.

Value modeling is critical to pricing. valueIQ has a very capable Value Model agent that it uses in its Value Sales agent. Soon, this agent will also be connected to the Pricing Analyst agent, and a much richer and interactive EVE (Economic Value Estimation) style value model will be available and fed to the Pricing Analyst agent.

The valueIQ Pricing Intelligence agent is much more than a wrapping on a large language model (LLM) or even a series of fancy prompts. It is built on Lovable and uses Vellum as its AI middleware and routing component.

In addition to a number of LLMs, it uses a set of proprietary data sources to enrich its reasoning.

The current version of the agent uses 6 sub-agents.

Data Extraction Agent - extracts and organises all the data on a pricing page

Data Enhancement Agent - goes out, finds more information, and integrates it with the data already extracted

Pricing Analyst Agent - this agent does the heavy lifting. In addition to carrying out the analysis, it regularly updates its knowledge base on pricing to stay current with emerging practices, like credit-based pricing.

COMPASS Agent - this agent applies the COMPASS framework (see below).

Synthesis Agent - this agent pulls all the pieces together and runs QA rubrics to test the quality of the outputs.

Report Generating Agent - takes the data and analysis from the Synthesis agent to generate the different types of reports.

COMPASS or Choice of Optimal Metrics for Pricing Agentic Systems & Solutions is a framework developed by Michael Mansard from Zuora and Steven Forth from valueIQ to evaluate and organize pricing models and help people understand when to use different models.

This framework tests the pricing model against 14 factors that are used to see if the pricing model is fit for purpose.

See The ‘COMPASS’ Agentic AI Pricing Metric framework: Your 2-Part Monetization Survival Guide to the Autonomous Age.

A SWOT (Strengths Weaknesses Opportunities Threats) analysis evaluates the company on external and internal factors.

A Pricing SWOT is a SWOT that uses COMPASS, value modeling, and other pricing analysis to inform pricing strategy.

A Strategic SWOT connects Strengths to Opportunities and Weaknesses to Threats.

Later in January 2026, valueIQ will introduce a Value Sales agent. This agent generates a value model and then configures it for a specific deal. The deal owner can then enter into a conversation with the agent about the deal and see how to position value in the sales process. Various types of value presentations are also generated.