Full export · No lock-in

Stackfeed

Managed Amazon SP-API
Data Infrastructure
You own your data

Clean, semantically normalised, long term historical data: Search Term, Campaign, Sales & Traffic, and more, delivered via MCP and REST API.

You connect once. We handle ingestion, storage, schema mapping, and daily syncs. Your team keeps full ownership and export rights, always.

Sandbox first · Daily sync · History beyond Amazon’s short windows
Request access for your dev team → What you get ↓
7 of 10 spots remaining · 90 day free trial · No credit card

Live demo: three public routes (search terms, campaigns, targets) over the same seeded store as the REST API (no key in the browser). Run python manage.py seed_demo if a view returns empty.

stackfeed · live demo
Live REST call

Fixed window: last 14 days ending 3 days ago. Each button calls a different demo route; response shape matches the authenticated REST endpoints.

Loads search terms when this panel scrolls into view.

Dashboard preview
Same fields as
/api/v1/…/search-terms/
Built on
5 years SP-API in production
Real seller PPC in production
Worldwide marketplaces
Production seller ops · API first teams
Amazon SP-API certified
Who Stackfeed is for

In house teams that already build, and refuse to live inside someone else's data silo.

What you get

Managed infrastructure. Your dataset.

From OAuth to your stack

1OAuth to Amazon: we never see your Seller Central password.
2Daily sync: reports ingested, normalised, stored with full history.
3Read only MCP and REST API: keys scoped to your org.
4Your dashboards, agents, ETL, and client deliverables: export included.
Sound familiar?

Black box SaaS wasn’t built for teams who ship their own analytics. You need a data layer you don’t have to operate.

01

You’re paying for UIs you outgrew

Third-party tools lock data behind workflows that don’t match your internal stack. Your engineers waste cycles extracting, not analysing.

02

CSV gymnastics burn engineering time

Search terms here, campaigns there, traffic elsewhere: joined in a spreadsheet or a brittle script. The hard part isn’t the insight; it’s the plumbing.

03

Amazon changes the schema. Your pipeline breaks quietly.

Renamed fields, new report shapes, silent drift. You need monitoring and normalisation as a service: not another fire drill for your devs.

04

You already build the product. You shouldn’t own SP-API ops.

Your team should focus on custom analytics and client value: not report queues, rate limits, and historical retention. That’s the layer we manage.

Examples

What your team builds
on Stackfeed data

Internal BI, agents, and client reporting: all need joined, historical, normalised Amazon data. Stackfeed is the managed layer; your code stays yours.

GET /search-terms/ plus Brand Analytics (internal spec). “Surface keywords we paused 6+ months ago that still correlate with organic rank drops.”
↓ ships as →
Keyword revival service
Joins long-run targets with rank signals. Your service reactivates spend where organic dependency is visible: all against your normalised schema.
REST · historical joins
Campaign plus sales API (alerting pipeline). “Flag ASINs where TACoS deviates from same period last year beyond 2σ.”
↓ ships as →
Seasonal anomaly detector
Uses 12+ months of synced data per marketplace. Your workers subscribe to the feed; we don’t own the alert logic.
ETL · multi-marketplace
Sales & traffic plus ads (exec dashboard). “Which parents show organic share up and ad efficiency down, by marketplace, first?”
↓ ships as →
Organic maturity dashboard
Cross-report model in your BI tool. Stackfeed supplies consistent field names and history; you own the presentation layer.
BI · agency rollups
Not one off CSVs: unified reports, marketplaces, and time. That’s the infrastructure bet.
Operations vs ownership

We run the pipeline.
You own the asset.

We manage SP-API ingestion, rate limits, report queuing, semantic normalisation, gap detection, and schema drift. You get read only MCP and REST access, documentation, and exports: so your developers spend time on analytics, not babysitting Amazon’s API.

Sandbox first path · live today
01
Connect via Amazon
OAuth in minutes. We never see your Seller Central password. Revoke from Seller Central anytime.
02
Sync & normalise
Daily pulls into long term storage. Field mapping and monitoring when Amazon changes shapes.
03
MCP or REST
Issue API keys. Query documented endpoints or attach MCP compatible tooling: same normalised data.
04
Your stack
Dashboards, agents, data warehouse loads, client portals. Export included: your data, your formats.
Why in house teams choose Stackfeed

Managed normalised Amazon data: so your devs build, not operate pipelines.

Ownership

You own your data: no black box dashboard

Read only access to a clean store you can export anytime. No hostage-taking when you want raw or normalised extracts for your own warehouse.

Reliability

Consistent data without maintaining SP-API plumbing

Your team stops rebuilding parsers and retries. We absorb report churn so the feed your services call stays stable.

Focus

Stop burning engineering on Amazon API changes

Schema updates, deprecations, and edge cases land on us. You ship features for revenue and clients instead.

Ship faster

Sandbox first: integrate today

Wire up against documented MCP/REST contracts, then promote the same paths to production accounts when you’re ready.

Interface

MCP + REST for how you already work

Cursor, internal services, notebooks, or BI: consume the same normalised datasets without adopting another proprietary UI.

Commercial

One price. No surprise data taxes.

Predictable fee per tier. No per-row gouging when Q4 spikes. Know costs before you commit.

Security & trust

We access your data.
We never expose it.

Read only access to your isolated dataset: with full export rights when you need it. Five years of production seller traffic through this stack. Security is not a slide deck; it is how the system is partitioned.

  • Amazon OAuth: we never see your Seller Central password
  • Refresh tokens encrypted at rest: never stored in plaintext
  • Your data architecturally isolated from every other customer
  • Access keys hashed: shown once on creation, never retrievable
  • Every query scoped at database level, not just in code
  • Full audit log of every request made against your data
  • Revoke access from Amazon Seller Central any time: no contact needed
  • Data never sold, shared, or benchmarked against other sellers
  • Your data deleted within 30 days of cancellation: we don't keep it once you leave
Architectural isolation
Every query scoped at the data layer: not just application code. Architecturally impossible for another customer to access your data, even if something fails at the app level.
Amazon-certified integration
We operate as an approved SP-API solution provider, having passed Amazon's security review. A certified, audited integration: not a workaround.
You're always in control
Remove our Amazon permissions from Seller Central at any time: no form, no ticket, no delay. Your access, your control.
Pricing

One fixed fee.
Everything included.

Built for in house dev teams and agencies: predictable cost, every report type, daily sync, and full history. No per-report metering: scale by connected seller accounts, not by punishing busy quarters.

Every plan includes:
All SP-API report types
Worldwide marketplaces
Daily sync
Full history from day one
Schema docs + changelog
Example MCP & REST usage
Start here
Most popular
Business
In house dev at a seller: one normalised data plane for internal tools and BI.
£49
/mo
1 seller account
Request access for your dev team →
  • 1 Amazon seller account
  • Worldwide marketplaces
  • All report types
  • Daily sync
  • Full history from day one
  • Schema docs + changelog
  • Example MCP & REST usage
For agencies
Agency
PPC agencies with in house dev: one normalised layer across client seller accounts.
£199
/mo
Up to 5 accounts
Request access for your dev team →
  • Up to 5 seller accounts
  • Worldwide marketplaces
  • All report types
  • Daily sync per account
  • Full history per account
  • Priority support
  • Everything in Business
For larger agencies
Agency Pro
Unlimited client accounts, higher API volumes, dedicated onboarding for dev led teams.
£499
/mo
Unlimited accounts
Request access for your dev team →
  • Unlimited seller accounts
  • Worldwide marketplaces
  • All report types
  • Daily sync per account
  • Full history per account
  • Dedicated onboarding session
  • Slack based support channel
🔒 Early access pricing locked for life
Price never increases for founding members: even as we add features and raise prices for new customers
7 of 10 spots left

90 day free trial · No credit card required to start

FAQ

Common questions

MCP vs REST: which should we use?
Same normalised data either way. Use REST for services, scripts, and BI connectors. Use MCP where your tooling (e.g. Cursor and compatible hosts) expects an MCP data source. Pick what matches your stack.
Can we export everything if we leave?
Yes. Request exports of your data in standard formats. We don’t monetise lock-in: after cancellation, data is deleted within 30 days per policy, so pull archives before you wind down access.
Does Stackfeed include AI?
No. Stackfeed is managed data infrastructure: ingestion, normalisation, history, read only APIs. Your team brings whatever stack you want, including agents, and we expose the datasets they consume.
How is this different from Helium 10 or DataHawk?
Those products sell analytics UIs and workflows. Stackfeed sells the data plane: MCP/REST access to a clean, long-running store you plug into your own dashboards and pipelines, with export and revocation under your control.
What happens when Amazon changes reports?
We monitor schema and field drift, remap where needed, and keep your downstream contracts documented. Your services keep calling the same logical fields instead of breaking every time Amazon renames a column.
Is there a sandbox?
Yes: integrate against sandbox credentials and documented endpoints first, then attach production seller accounts when you’re ready. Same API shapes in both paths.
Which marketplaces are supported?
Major worldwide Amazon marketplaces: UK, DE, FR, ES, IT, US, CA, and more. Every plan includes all regions you connect at no extra charge.
Who runs this?
Built and operated by a team that has sold on Amazon EU for 20+ years. Stackfeed is the same ingestion and normalisation stack we rely on for our own PPC and analytics workloads.
JS
"Running our own Amazon brands, we hit the same wall every serious dev team hits: we needed owned, historical, joined Amazon data without becoming a full time SP-API maintenance crew. We built Stackfeed as the managed layer we wanted, normalised, exportable, API first, and we run our own PPC and analytics on it every day." Josh · Amazon seller · UK · £1M+ Amazon revenue · £25k/mo PPC · Worldwide marketplaces

Request access for your dev team

Tell us who you are: we will route you to sandbox credentials and onboarding. 7 early access spots left · 90 days free · founding pricing locked for life.

7 spots left · 90 day free trial · No credit card · Cancel any time