JustHandled Labs
// E-commerce

Amazon FBA Reimbursement Evidence Reconciler

Reconcile seller-supplied inventory, reimbursement, claim, deadline, and manufacturing-cost evidence locally.

What problem does Amazon FBA Reimbursement Evidence Reconciler solve?

FBA sellers compare inventory events, settlements, COGS evidence, reimbursements, claims, and policy deadlines manually or through recovery services.

Use it to

What it returns

A representative input and result

fixture-backed sample
input `inventory_events[]` uses `event_id`, status, expected reimbursement, manufacturing-cost reference, and owner-supplied days until deadline; `reimbursements[]` uses `reimbursement_id`, event link, and amount; `claims[]` uses `claim_id` and event link.
result A deterministic READY, REVIEW, or BLOCK result with stable finding codes, a complete review manifest, a human-readable report, and a SHA-256 receipt.

Access and approval boundaries

Known limitations

// choose with context

Is Amazon FBA Reimbursement Evidence Reconciler the right skill?

Best fit

FBA sellers compare inventory events, settlements, COGS evidence, reimbursements, claims, and policy deadlines manually or through recovery services.

It returns

findings.csv with stable codes and evidence sources. review-manifest.csv with every reviewed record.

Do not use it as

Amazon policy and claim windows are dynamic; the owner must supply and verify current deadlines and eligibility.

Compatibility, access, version, and licence

Reads or accesses
Declared local scope: one owner-selected local JSON input, one owner-selected local output directory.
Compatibility
SKILL.md-compatible agents that can run a local Python helper. Python 3.10 or newer on Windows, macOS, or Linux using only the standard library. One documented UTF-8 JSON evidence packet; no API key or provider account.
Version
1.0.0
Licence
Review the package licence and seller terms at the linked destination.

What happens next

The Agensi listing opens at the current offer. Complete purchase there, inspect SKILL.md and its bundled files, then add the complete folder to your agent.

Questions

Does it connect to a live account or provider?

No. It reads one normalized local JSON packet and makes no network request.

Does it make the final decision or external change?

No. It produces evidence findings; the responsible owner makes every decision and action outside the package.

Is the result deterministic?

Yes. Stable finding codes, sorted records, and a SHA-256 receipt make repeated review inspectable.

What happens with malformed input?

Unreadable JSON, missing arrays, duplicate core identifiers, invalid timestamps, and invalid core numbers fail closed.

Does READY prove the underlying evidence is true?

No. READY means no automated finding appeared in the supplied normalized packet; source truth still requires human review.

Amazon FBA Reimbursement Evidence Reconciler keeps proof and approval boundaries visible.

The listing includes the tested package, realistic samples, declared permissions, and known limitations.

Get Amazon FBA Reimbursement Evidence Reconciler on Agensi