For AI
Product research

See what is selling and what buyers say, before you pick a product

Product research with DataXAPI: 1 ready-made Skill on 2 platforms. The example run makes 4 calls and costs at most $0.0080; a failed call is never charged.

Sign up, try it freeSee what you get
Data fromTikTok · Xiaohongshu (RedNote)
A callfrom $0.0020$0.0020 – $0.0200
One run$0.0080the example run: 4 calls
Every day for 30 days$0.24Products and reviews, at most
When a call failsNo chargeand the bill says which step it was

Who it is for

For e-commerce and product teams who read reviews to decide what to sell next. Your AI searches products by keyword and reads the buyers' reviews of the top ones.

E-commerce sellersBefore a launch, see what sells for a keyword and at what price.

Product managersRead buyer reviews for what current products get wrong, and what the next one should fix.

Sourcing and buyingCheck with data whether a category is worth entering.

The questions it answers

The ones a marketing team asks every week.

  • What is selling for this keyword?A page of products with title, price and units sold.
  • What do buyers say in the reviews?A page of reviews for each of the first few products: rating, text, reviewer, time.
  • What should the next product fix?Your AI reads the low ratings across products and lists what keeps coming up.

Three steps

Once the skill is installed, one sentence starts it.

  1. 1

    Show the plan first

    Free, and needs no key: the most calls and the most money this run can come to.

    dataxapi run products platform=tiktok 'query=yoga mat' products=3 --plan
  2. 2

    Run it, capped at that amount

    Each line is one endpoint of the example run, at its listed price. A call that fails is not charged. The run stops rather than spend more than its cap.

    tiktok/shop/products/searchtiktok/shop/products/reviews/list
  3. 3

    Line everything up in one table

    9 columns, the same on every platform; a column a platform does not give is empty. No call, no cost.

    products.csv · 9 columns

What you get

Every Skill hands back one table. These are its columns, and what each one holds.

Products and reviewsWhat is selling, and what do buyers say?
products.csv · 9 columns
ColumnWhat it holds
ColumnWhat it holds
Product IDproduct_idID; pass it unchanged to the endpoints that get the product and list its reviews
ProductproductTitle of the product
PricepriceCurrent price; the lowest one when its variants are priced differently
CurrencycurrencyCurrency of the prices, an ISO 4217 code
Units soldsoldUnits sold
RatingratingThe buyer's rating of the product, out of 5
ReviewtextText of the review; null when the buyer gave a rating and wrote nothing
ReviewerreviewerReviewer's display name, as the platform shows it (it may be masked)
Reviewed atpublished_atWhen it was written
Last verified run2026-10-13TikTok3 callsCharged $0.004514 rowsThe skill's page

The data it reads

Public data only. Each row is one endpoint, with its price per call.

And 1 more endpoints for the same job on 2 platforms: each Skill's page lists its own.

What a run costs

Products and reviews: What is selling, and what do buyers say?

StepCallsAt most
TikTok Shop product search1 × $0.00201$0.0020
TikTok Shop product reviews3 × $0.00203$0.0060
Total4$0.0080
A run$0.0080
Daily, 30 days$0.24

Worked out from the catalog's prices, with the example inputs: platform = tiktok · query = yoga mat · products = 3. You pay for the calls actually made; whether an empty result is charged is on each endpoint's page. What your AI itself costs is not counted here.

Say this to your AI

Once DataXAPI is connected, any of these works.

Products and reviewsdataxapi-products

Searches one page of products for a keyword, then gets one page of buyers' reviews for each of the first few, as one table: a row for every review, with the product's title, price and units sold beside it. One call for the search and one for each product's reviews, each charged on its own.

Then ask it like this
What yoga mats are selling on TikTok Shop, and what do buyers say in the reviews?
Search this product keyword on Xiaohongshu and read the reviews of the top three.
Copy this to your AIIt connects DataXAPI and installs this skill.
Read https://dataxapi.com/agents.md and set up DataXAPI in this agent. My API key is dx_…; use it for every DataXAPI call. Install the DataXAPI skill dataxapi-products from https://dataxapi.com/skills/dataxapi-products.zip.
The skill's page
No account yet? Sign-up takes an email and no card, and a failed call is never charged.

Not connected yet? It takes one prompt →

How teams do it today, and with DataXAPI

By hand
Listing by listing
  • Search the keyword and open each listing.
  • Scroll reviews and copy the telling ones.
  • Prices and sales go stale the day you write them down.
With DataXAPI
$0.0080a run, 4 calls
  • Give the keyword and how many products to read.
  • One call for the search and one for each product's reviews.
  • Every review sits beside its product's price and units sold.

Questions

From marketers, not developers.

Do I need to write code?

No. You paste one prompt into your AI to connect it, then ask in plain words. Code is there if your team wants it: every row in the table above is one GET.

What does it cost?

The example run of Products and reviews makes 4 calls and costs at most $0.0080. Run it every day for 30 days and that is $0.24. There is no subscription, and a failed call is never charged.

Can it see private accounts, or data behind a login?

No. It reads what anyone can see on the platform: public posts, public counts, comments, and the ads the platforms publish in their ad libraries. It cannot post, message or sign in to an account.

Which platforms does it cover?

2 for this job: TikTok, Xiaohongshu (RedNote). Each Skill's page lists its own.

The other 5 jobs

Run it on your own question.

Sign-up takes an email and no card. A failed call is never charged.

Read https://dataxapi.com/agents.md and set up DataXAPI in this agent. My API key is dx_…; use it for every DataXAPI call. Install the DataXAPI skill dataxapi-products from https://dataxapi.com/skills/dataxapi-products.zip.