The marketplace data layer

Every channel speaks its own language. MerchantSpring makes it comparable.

Marketplaces and platforms structure accounts, markets, and performance differently. MerchantSpring preserves that source context, then organises the available data into a consistent layer for reporting, APIs, and AI.

The same words can describe different events.

Amazon Seller Orders show demand first. Shipped sales, fees, refunds, and other financial events follow on different timelines.

Amazon Vendor Purchase orders track Amazon’s procurement. Retail Analytics separately tracks customer ordered and shipped revenue.

Advertising Ad reports pair spend with attributed sales using each platform’s attribution rules and windows.

Across sources Currencies, time zones, reporting cutoffs, and metric availability can differ.

A consistent model, with channel context intact.

MerchantSpring maps available data from connected channels into consistent sales, profitability, advertising, and operational views, while retaining the channel, market, currency, and reporting context teams need to trust each metric.

Connect once, and the data keeps working.

Authorised platform connections bring data into MerchantSpring without recurring exports. Add accounts and channels to the same structure instead of rebuilding the reporting process around each one.

See all supported channels

Connected once. Kept current.

Marketplace data continues to change after the initial pull. MerchantSpring refreshes supported datasets as source platforms revise their reporting, helping dashboards reflect the latest data available through each source.

AttributionAttributed conversions update as ad platforms finalise them.

CancellationsCancelled orders are reflected as marketplaces process and publish the change.

Invalid trafficInvalid activity is reflected as ad platforms filter it or issue credits.

Checked across sources.

A marketplace can publish related activity through more than one feed. MerchantSpring compares supported overlapping sources as a quality layer, helping surface anomalies before they reach reporting.

Order feedOrder activity retrieved from the marketplace API.

Financial feedSettlement and finance records covering related activity.

Cross-checkOverlapping records are compared to surface potential anomalies.

120+connected marketplace, ecommerce, advertising, and retail-media channels.

35,000+accounts connected to MerchantSpring across brands and agencies.

300+agencies use MerchantSpring across client portfolios.

One layer. Four ways to use it.

You should not have to reconcile one number for a dashboard, another for an API, and a third for AI. Each MerchantSpring surface starts from the same account and channel context.

Dashboards

Give operators one live view across accounts, brands, and channels, without rebuilding the portfolio in spreadsheets.

Explore the platform

Reports

Turn the same marketplace context into repeatable client and internal reporting, ready for the people who need the answer.

Explore reporting

API Gateway

Bring structured MerchantSpring data into internal tools, automations, and the applications your team builds.

Read the API docs

AI workflows

Connect supported AI tools to current marketplace context, within the account and channel scope the connection is allowed to use.

Claude ChatGPT Cursor Codex Gemini CLI VS Code and more supported

See the MerchantSpring MCP

Built for operators, advisors, and builders.

Choose the path that matches your team. The data underneath stays the same.

For brands and marketplace teams running the portfolio.

Compare brands, accounts, and channels without switching systems or rebuilding the same operating report every week.

Explore operator solutions

Portfolio performanceCompare every account from one operating view.

Profit and marginSee where each channel earns or erodes margin.

Advertising efficiencyRead spend beside sales and profit.

Operational healthKeep marketplace issues in the same workspace.

Built to be useful. Governed to be trusted.

Dashboards, reports, the API Gateway, and AI workflows all read from the same governed layer, inside the same account and channel boundaries. The security page covers the rest properly. How data enters, who audits us, and what AI can and cannot see.

Read the security overview

Trust boundary

SourceData enters through authorised platform connections.

LayerOrganisation, account and channel context is applied.

SurfaceThe requesting user, key or workflow receives its permitted scope.

Data layer, explained.

What is a marketplace data layer?

A marketplace data layer connects data from commerce channels, keeps the source context, and organises it so teams can use consistent information across reporting, applications, and AI. MerchantSpring provides that layer across dashboards, reports, the API Gateway, and supported AI workflows.

What data does MerchantSpring bring together?

MerchantSpring connects marketplace, ecommerce, advertising, and retail-media data. The exact metrics available depend on the platform and account type, with sales, profit, advertising, and operational reporting available across supported channels.

How current is the data in MerchantSpring?

Connected channels sync on an ongoing basis, and MerchantSpring also restates history as source platforms revise their own numbers, for example when advertising attribution updates or cancelled orders come out of sales. The figure you see reflects what the channel is currently reporting, not what it first said.

Is MerchantSpring only a dashboard?

No. The dashboard is one way to use the data layer. The same permission-aware marketplace context can also support client reports, structured API access, and connected AI tools.

Can developers access MerchantSpring data?

Yes. The MerchantSpring API Gateway provides structured access for approved applications and workflows. The developer documentation covers current authentication, endpoints, and implementation details.

Can I connect MerchantSpring to AI tools?

Yes. MerchantSpring MCP connects supported AI tools, including Claude, ChatGPT, and Cursor, to live marketplace context. Access follows the permissions and account scope attached to the user or connection.

How is access to the data layer governed?

MerchantSpring applies organisation, account, channel, API, and AI boundaries to connected data surfaces. The security overview explains authorised connections, infrastructure, access controls, AI handling, and the data lifecycle.

One data layer. Every commerce channel.