Use cases
What people check, and why
Every one of these is the same idea applied to a different queue: something arrived, somebody has to decide whether to trust it, and a signal with its evidence attached beats a score. Each page ends with the exact call that does it.
Detect AI-written text in submissions
Estimate the probability an essay, application, or article was AI-written — with the specific tells, and honest abstention where detection is unreliable.
Read the use case →An AI detector for teachers that shows its evidence
A free AI checker for teachers: paste a submission, get a probability with the textual tells behind it — a signal to start a conversation, never proof to grade on.
Read the use case →An AI detector for managers — for the report you are not sure about
A defensible way to handle a suspicion about AI-written work: a probability with the specific tells behind it, a process to follow before any conversation, and honest limits.
Read the use case →Fact-check AI-generated research before you publish
Verify that an AI-written report’s citations exist, resolve, and support their claims — before fabricated references reach a client or court.
Read the use case →Verify income documents before you lend
Catch tampered and AI-generated payslips, bank statements, and invoices before credit decisions — forensic document verification over a simple API.
Read the use case →Screen candidate documents before you hire
Check that a candidate pack is complete and screen the name for adverse media and sanctions exposure — credential and background checks before an offer.
Read the use case →Check rental application packs before you approve
Confirm a rental application is complete and its payslips and bank statements hold up — pack completeness plus forensic checks before a tenancy is offered.
Read the use case →Give your AI agent a verification tool
Let your agent verify documents, fact-check reports, and detect AI text mid-task — three hosted MCP servers, callable with a single URL string.
Read the use case →Automate customer onboarding with an agent
Let an agent run the identity gate of onboarding — the Australian 100-point check and the verification suite — over one API, with an auditable trail.
Read the use case →Verify claim documents before you pay
Catch fabricated repair invoices, inflated quotes, and inconsistent vendor details in claims — forensic document checks before a payment goes out.
Read the use case →Not sure which applies? Run a document through the checks or read the docs.