A verdict per option
Fits, fails or cannot tell, for every requirement, with the value and where it came from.
For AI agents
A booking agent that knows what the listing actually includes.
"Near the venue, breakfast included, under $180." Pulse checks every hotel, fare or plan against those needs and tells the agent which fit, which do not, and which listings never say, before anyone books.
Where you are
Assumptions are expensive after check-in.
A listing that does not mention breakfast does not include it by default. An agent that assumes it will earn a complaint, a refund request, or both.
If the listing does not say, the traveller deserves to know before booking.
What happens
How does it work?
One call, from MCP or HTTP. Nothing to train, nothing stored.
- Ask01
State what is needed
As requirements such as "voltage = 24V", or in plain words; a budget in the words becomes a price requirement.
- Send02
Pass the options
Up to 50 at a time, with whatever fields and text you have. A stated field always wins over text read off a page.
- Answer03
Answer from the verdicts
Each option comes back fits, fails or cannot tell, with the attributes that are missing. The agent says what the evidence shows, and only that.
What you get
What the agent gets
"The evidence does not say"
A first-class answer instead of a guess, with the missing attributes named.
A to-do for the owner
Every unknown is exactly what the option's owner should publish next.
MCP or HTTP
The open-source MCP server for agents, or one HTTP call from your own code.
A worked example
"Hotel near the venue under $180" with breakfast required: Harbour fits, Summit fails on price, Lotus cannot tell because it never states breakfast.
What you get
Before and after
Without Pulse
- Assumes common amenities
- Mixes budget and must-haves loosely
- Hides options it cannot judge
With Pulse
- Confirms each need against the listing
- Applies the budget as a hard requirement
- Shows the options it cannot judge, and why
Before you commit
What it will and will not do
What this does
- Give each option a verdict per requirement, grounded in its own evidence
- Name what is missing instead of guessing it
- Work in any domain whose options carry structured attributes
- Answer the same input the same way every time
What it does not do
- State an attribute the evidence never stated
- Read facts out of free text outside laptops yet; send the fields instead
- Make decisions about people, such as hiring or lending
- Promise a business result. Nothing has been measured on your data
Questions
The ones that decide it.
- Can it read the budget from the traveller's words?
- Yes. A budget in the request, such as "under $180", becomes a price requirement on its own.
- Which agents can use it?
- Claude Code, Claude Desktop, Cursor and Codex through the open-source MCP server, which runs on your machine, and any agent or program that can make an HTTP call. ChatGPT's web app needs a remote MCP server, which is planned.
- Is it a model?
- No. It applies rules to the evidence each option states, so the same input always gives the same verdict, and every verdict shows its source.
Add it to your agent.
Install the MCP server with one line, or call the API from your code. The open-source repository has runnable examples.
Opensource
An API key comes from the Pulse dashboard.