Best fit
A craft seller needs to compare stock returned from an event with recorded sales and other movements without inventing missing values or causes.
Compare craft-fair stock counts and normalized movements, with optional payment and cash checks. Get local, source-linked discrepancies and explicit unknowns to review.
We earn a commission on eligible purchases after a new Agensi signup through these links. We also sell our own skills on Agensi.Format: Agent skill, not a browser app. You need an AI agent that can load its instructions and use the required tools.
Package requirements: Python 3.12.14 CLI on Windows tested; Python 3.10+ syntax required. Agent-host installation and named-model compatibility unverified.
You get: Source-linked discrepancy reports with separate stock, payment and cash comparisons.
Review the package licence at the destination.
Review the offer and access method at your chosen marketplace. Agensi provides connected-agent access, not a download. Buying a skill does not include an AI-agent subscription or setup service.
Agensi access: This product’s bundled-script workflow through Agensi has not been verified here. Tests of other products do not establish this package’s compatibility. Local setup examples apply to separately obtained downloadable packages.
A craft seller needs to compare stock returned from an event with recorded sales and other movements without inventing missing values or causes.
These cards summarize actual output from the packaged fictional fixture.
No. Prepare local CSV and JSON using the documented templates. Native exports are not accepted automatically.
No. Copy the relevant counts and records manually. The PDF supplement also works independently.
No. A difference prompts a recount and source check; the cause remains unresolved.
Only arithmetic agreement with the supplied records. Missing or incomplete records can conceal discrepancies.
No. Cash float, refunds and adjustments are handled explicitly, but there is no tax, fee, cost or profit calculation.
A terminal with Python 3.10 or later and prepared local files. The CLI was tested on Windows with Python 3.12.14; agent-host installation is untested.
The listing includes the tested package, realistic samples, declared permissions, and known limitations.
Get Craft Fair Closeout Checker on AgensiA craft seller needs to compare stock returned from an event with recorded sales and other movements without inventing missing values or causes.
Source-linked discrepancy reports with separate stock, payment and cash comparisons.
Automatic POS imports, inventory writeback, tax calculations or proof of what caused a discrepancy.