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Helium 10 vs Keepa: do you need a seller suite or Amazon price history?

Helium 10 supports product discovery and listing growth; Keepa follows Amazon prices and offers over time, making it useful for evaluating an ASIN before purchasing stock.

Checked (UTC):
Helium 10Keepa

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Pricing, capabilities and fit
CompareHelium 10Keepa
Paid starting pricePlatinum: US$129/month; annual option available[1]Not stated[4][6]
Ongoing free planNot stated[1]Not stated[4]
TrialNot stated[1]Not stated[4]
Platform and marketsAmazon plus Walmart and TikTok tool families[1]Amazon marketplaces; API selects a marketplace domain[5]
Core featuresProduct discovery, reverse ASIN keywords and listing work[2][3]Price history, price alerts, offers and deal discovery[4][5]
Data scopeProduct attributes and competitor search-term research[2][3]Historical Amazon prices, product records and marketplace offers[5]
Best suited toPrivate-label sellers building and optimizing listings[3]Sourcing teams investigating an ASIN before buying stock[4][5]
API or exportMCP connector listed; export quotas not stated here[1]JSON API; subscription key and token-based requests[5][6]
Chinese interfaceNot stated[1]Not stated[4]

Choose Helium 10 if…

  • You need search terms for a new private-label product page.
  • Your shortlist starts with product filters rather than a known ASIN.
  • You want to continue from research into listing and advertising tasks.

Choose Keepa if…

  • You already have an ASIN and want to inspect its price history.
  • Your sourcing decision depends on historical offers and price changes.
  • You are building an internal tool that consumes Amazon product data as JSON.

Key differences

Discovery versus checking a candidate

Black Box helps you construct a shortlist using product criteria. Keepa starts naturally from a known product and its price record. A sourcing workflow can move from discovery to a historical check without treating those jobs as interchangeable.[2][4]

Keywords versus price movements

Cerebro connects a competing ASIN with search terms useful for listing work. Keepa records prices and offers over time. Pick the output your next decision requires: words to target, or a record of how the buying opportunity has changed.[3][5]

Building your own data workflow

Keepa documents an HTTPS JSON API with a subscription key and replenishing request tokens. That makes request volume part of an integration design. A manual product check and a scheduled catalogue scan will consume very different amounts of data.[5][6]

Frequently asked questions

Can Keepa replace a keyword research tool?

The reviewed Keepa documentation covers product records, price histories, offers and related discovery endpoints. For reverse ASIN search terms, Helium 10 documents a dedicated Cerebro workflow.[5][3]

Does Keepa offer an API for a private dashboard?

Yes. Its official documentation describes authenticated HTTPS requests returning JSON. An API subscription supplies tokens, and endpoint options affect consumption.[5][6]

Would using both duplicate the same work?

There is overlap around product research, but the practical outputs differ. One session might build keyword targets in Helium 10, then inspect the candidate product’s historical pricing in Keepa.[3][4]

Other options

  • Jungle Scout — Amazon sellers compare sales estimates and keyword demand to choose products before launching.
  • Nexscope Ecommerce Skills — Marketplace sellers give AI product and cost inputs to draft listing improvements and store-growth plans.
  • Amazon SP-API MCP — Amazon teams ask an AI assistant for orders, FBA stock and financial reports to review their own store data.
  • Lingxing MCP — Amazon teams ask AI to read Lingxing sales, ads and stock data to prepare operating and replenishment reports.
  • Helium 10 alternatives
  • Keepa alternatives

Official sources

  1. Helium 10 plans · Checked
  2. Black Box product research · Checked
  3. Cerebro reverse ASIN research · Checked
  4. Keepa price tracking · Checked
  5. Keepa API overview · Checked
  6. Keepa API plans and tokens · Checked

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