Business data for AI agents
Why tool-use data matters for AI agents
Last updated /Business data for AI agents
Tool-use data for AI agents is the record of someone using a piece of software to do the job, not the essay they wrote afterward. Which system they opened. What they asked it for. What it returned. What they did next. An agent that has to operate software cannot learn that from a policy manual. It needs examples of the tool being used, including the times the tool refused, timed out, or returned a result the person did not trust.
A managed service provider lives inside other companies' tools. A technician opens a console, runs a check, reads a result, and either applies a fix or stops. The valuable trace is the class of check and the class of result. The client's password, the remote-session picture of their screen, and the key that unlocked the console are access data. They are not tool-use data we will treat as a product. What a managed service provider already generates that can train AI draws that exclusion in the provider's own setting. A software vendor's admin console raises a cousin problem, on what a SaaS company already generates that can train AI, when the click is the vendor's and the payload is the tenant's.
The wider idea, that business records can teach an agent to act, is how business data trains AI agents to do real work. The ordered path those tool calls sit inside is what an agent trajectory records from real work. The judgment about whether to trust the tool's answer is how expert judgment and decision records can train AI. A license of the underlying records, if one is even allowed, is what AI data licensing means for a company. Process logs as a shelf are how workflow and process records can be licensed.
Why a paragraph about the tool is not a trace of using it
People write summaries after the work. The summary says the invoice was corrected. The tool trace says which screen was opened, which field was rejected, and which second attempt the system accepted. Agents fail in the gap between those two. They sound fluent about the policy and then click the wrong control, or they trust a result the experienced person would have checked. Buyers who build agents ask for tool-use records because the failure is in the click, not in the vocabulary.
That ask is not a right. A company can have rich admin logs and still be forbidden by a vendor term, an employment rule, or a customer contract from offering them. Wanting the click is a commercial fact. Being allowed to show the click is a legal fact. This page keeps them apart and does not give legal advice.
What a useful tool trace actually contains
- The tool, named as a kind of system the company uses, not as a secret address or a credential.
- The request in the form the tool understands: a lookup, a status change, a calculation, a hold. The request should be the company's action, not a customer's private file pasted in full.
- The response the tool gave, at the level of success, refusal, or a category of error. A raw dump of another party's database is not a response worth keeping.
- The person's next decision: accept, retry, escalate, or abandon. Without that decision the trace is a log line, not an example of work.
Fields that masquerade as tool use
- Passwords, tokens, and session keys stored so the next shift could log in.
- Screen recordings of a client's desktop. The recording shows whatever was open, which is more than the tool call.
- A copied vendor manual. Reading a manual is not a trace of using the system on this company's work.
What makes a tool log loud and empty
- Heartbeats and page views counted as actions. Opening a home screen is not a job.
- Traces that cannot be tied to an outcome. The click is there and nobody recorded whether the work was finished.
- Logs the company does not control. A vendor's telemetry about your users may not be yours to offer, even if you can see a dashboard.
- A plan to connect every admin console before anyone has said the business is in range. The free check does not need that connection.
How tool traces are discussed
Unlockt, LLC operates this website under the name Big Data/Little Guy. We do not ask for an admin login to see whether tool use exists. You can say, in ordinary language, which systems people act in and whether outcomes are kept. That description is enough to start. The form is the free data value check.
If a profile is later written, it should say that tool traces exist and that credentials and client screens are out of scope. A buyer would read the profile, not the console. Terms for those nearby words are in plain definitions for AI data licensing terms. Nothing in a profile is an offer, and nothing here is a finding that your vendor contract allows the reuse.
Questions people ask
Is tool-use data just a list of apps the company pays for?
No. A subscription list does not show what anyone did. The record is a request, a response, and the next decision.
Do you want passwords so the trace is complete?
No. Credentials are excluded. If a trace only makes sense with the secret still in it, the trace stays out.
How is this different from a trajectory?
A trajectory is the whole ordered path. Tool use is the class of step where software was asked to do something. A path can contain several tool calls and also contain steps that were not tool calls.
Can screen recordings replace a structured trace?
They usually show too much and explain too little. A recording of a client session is access-heavy. A structured note of the check and the result is the cleaner artifact.
Does a useful trace mean we have the right to license it?
No. Vendor terms, customer contracts, and privacy duties are separate. Interest from an agent builder does not settle them.
How do we begin?
Use the free check and name the systems in words. Do not connect them and do not paste a console export.
See what your data could be worth
Your company's data could be worth up to $5M+.
Potential licensing value varies by dataset, rights, quality, volume, buyer demand, and transaction terms. Estimates and examples are not guaranteed offers.
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