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Commerce API for AI Support Agents

Commerce API for AI Support Agents

A commerce API for AI support agents that need order lookup, refund actions, invoice follow-up, and request-level debugging on semantic business objects.

Flint gives support-facing workflows real order, refund, invoice, and payment objects instead of making an agent infer what happened from processor events and internal tables.
The public refund, invoice, and request-log surfaces are explicit enough that support automation can inspect state before taking action.
Hosted collection, invoice follow-up, and post-purchase operations all stay inside one order-first model, which reduces ambiguous support flows.

Workflow Outline

01

Support agents need to look up orders, inspect refunds, follow invoice state, and understand what happened without cross-referencing several systems.

02

The team wants AI support tooling to operate against semantic business objects instead of raw processor events plus internal data joins.

03

Refund, receivables, and collection workflows need request-level debugging and explicit state before an automated support action is attempted.

What This Solves

Teams searching commerce APIs for AI support agents usually need a support workflow that can look up orders, inspect payment history, issue refunds carefully, and follow invoice or balance state without stitching together many systems.

Step 1

Refund recommendation and execution

Let a support agent inspect order and refund state before drafting or executing the right refund action through one public workflow.

Step 2

Invoice collection follow-up

Handle reminder, hosted invoice payment, or manual-settlement follow-up without losing the receivables context on the invoice record.

Step 3

Order lookup with real payment context

Answer support questions from the order itself instead of correlating processor events, app tables, and ad hoc metadata manually.

Step 4

Operational debugging for support actions

Use request logs and explicit error handling when a support-side automation attempt fails or needs investigation.

Why Flint Fits

Flint gives support-facing workflows real order, refund, invoice, and payment objects instead of making an agent infer what happened from processor events and internal tables.
The public refund, invoice, and request-log surfaces are explicit enough that support automation can inspect state before taking action.
Hosted collection, invoice follow-up, and post-purchase operations all stay inside one order-first model, which reduces ambiguous support flows.

Choose Another Path When

Use the general agent-commerce page when the question is the broader agent-operable commerce model, not support-specific operations.
Use refunds-specific pages when the only problem is post-payment adjustment behavior rather than the full support workflow.
Use request-log pages when the current bottleneck is debugging API traffic rather than support automation design.

Next Step

Ship the workflow before polishing the edge cases

Start with the underlying Flint flow, then layer your product-specific UX and recovery paths on top.