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Stamped

E-commerce

Connect AI agents to Stamped, the ecommerce reviews and loyalty platform. Agents collect and moderate product reviews, browse the product catalog, and read or adjust customer loyalty points for rewards and make-good workflows.

7 actions Basic auth available
Stamped website ↗ Platform Documentation ↗ Capability data verified 2026-07-27
The hourly review sweep runs against the store
Get Reviews pulls new reviews filtered by creation date and moderation state
Ratings and text are triaged, and 1- and 2-star reviews describing a fulfillment failure go to the make-good track
Get Review pulls the full text, images, and reviewer details for each flagged case
The CX lead reads the review against the order history and decides the make-good: loyalty points, a replacement, or a reply with no compensation
Adjust Loyalty Points applies the approved award with the reason recorded on the adjustment
The review, the decision, and the adjustment post to the support channel and append to the log sheet

What This Integration Enables

Stamped holds two of the most sensitive assets an ecommerce brand owns: what customers say in public, and the points balances they have earned. Both are managed by hand at most stores, which means reviews get read late and loyalty adjustments happen inconsistently or not at all. FlowRunner agents watch the review stream continuously, route what needs attention, and handle the loyalty ledger as a governed instrument: awards flow automatically from qualifying events, while anything that takes value away from a customer waits for a person. - Triage new and pending reviews by rating, content, and moderation state every sweep - Submit reviews collected in other channels back into Stamped on the customer's behalf - Award purchase-based and event-based loyalty points with reasons recorded - Pull balances and tiers into make-good decisions and marketing segmentation - Log the whole stream into spreadsheets and warehouses for sentiment reporting

Without FlowRunner

Reviews checked when someone remembers A one-star review sits published for days before anyone inside the company reads it
Make-goods through the dashboard Compensating a customer means logging in, doing points math, and leaving no consistent note about why
Reviews and loyalty in separate silos The response to a review never knows whether it is talking to a first-time buyer or a top-tier member

With FlowRunner

Every review triaged within the hour New and pending reviews are routed by rating and content the sweep after they arrive
Make-goods with an audit trail Every points adjustment carries its reason, its approver, and its triggering review
One picture of the customer Balance and tier from the loyalty program sit alongside the review in the same decision

Use Case Scenarios

The bad review becomes a save, fast

A two-star review lands describing a damaged package. Within the hour the sweep flags it, Get Review pulls the details and photos, and the CX lead sees it next to the customer's loyalty standing from Get Loyalty Points: a third-year member, first complaint. The approved make-good, a points award covering the item, goes out through Adjust Loyalty Points with "damaged shipment, review 48213" recorded as the reason. The reply to the review references the fix already made, not the fix being promised.

Purchases earn points without a batch job

When an order completes in [Shopify](/integrations/shopify), the flow awards purchase points to the buyer's email through Adjust Loyalty Points, with the order number as the recorded reason. When a solicited review request gets a reply by email, Create Review submits it on the customer's behalf into the moderation queue with their rating and text intact. The loyalty program and the review base both grow as side effects of commerce, not as campaigns someone has to run.

Loyalty data drives the email program

A nightly job walks List Loyalty Customers and pushes each customer's points balance and tier into [Klaviyo](/integrations/klaviyo) profiles. Campaigns segment on loyalty standing: top-tier members see early access, customers close to the next tier see exactly how close they are. Meanwhile Get Reviews feeds the day's ratings into [Google Sheets](/integrations/google-sheets), where the merchandising team watches per-product sentiment move via List Products aggregates.

Human-in-Loop Highlight

Adjust Loyalty Points with a negative amount takes back value a customer believes they have earned, and customers notice their balance in a way they never notice your internal dashboards. A deduction that corrects obvious abuse is defensible; a deduction fired by an agent misreading a refund event is a support fire with the receipts on the customer's side. So FlowRunner flows award points freely under policy but never deduct without review. The agent presents: "Refund processed on order 7741. Policy deducts the 250 points awarded at purchase. Customer is 90 points from Gold tier. Deduct, or let it stand?" A person answers, the reason lands on the adjustment record, and the [human-in-the-loop](/concepts/human-in-the-loop) gate keeps the loyalty ledger something customers can trust.

Agent processes routinely
Detects exception requiring judgment
Clear match Continues automatically
Ambiguous Routes to human via preferred channel
Human decides
Agent resumes with decision

Agent Capabilities

7 actions

Reviews

3
  • Get Reviews Lists the store's reviews with pagination and filtering by state and creation date range, returning rating, title, message, author, product, and moderation status. The feed behind triage and reporting.
  • Get Review Retrieves one review in full by ID, including text, star rating, reviewer details, images, and moderation status. The context step before any response or make-good.
  • Create Review Submits a review on a customer's behalf with product ID, reviewer name and email, rating, title, and message, entering moderation as pending. The bridge for reviews collected in other channels.

Catalog

1
  • List Products Lists the store's products with review counts and aggregate ratings. The map that connects review activity to the catalog for per-product reporting.

Loyalty

3
  • List Loyalty Customers Lists customers enrolled in the rewards program with points balance and tier where available. The source for loyalty-based segmentation syncs.
  • Get Loyalty Points Retrieves one customer's balance, lifetime points, and tier by email. The lookup that puts loyalty standing inside support and marketing decisions.
  • Adjust Loyalty Points Adds or deducts points for a customer by email, with a reason recorded for audit. Awards run under policy; deductions are the operation this page's human gate exists for.

Frequently Asked Questions

What can FlowRunner do with Stamped?

FlowRunner agents can run Get Reviews, Get Review, and Create Review in Stamped, plus 4 more actions.

Does connecting Stamped to FlowRunner require OAuth?

No. Stamped connects to FlowRunner with basic authentication (a username and password), no OAuth flow required.

Can Stamped trigger a FlowRunner workflow automatically?

Stamped doesn't currently expose triggers in FlowRunner. It connects as an action step inside workflows started by another trigger.

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