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Agentic commerce

A product question. A sourced answer.

Variants, prices and availability, with the source attached.

The extraction API on this page is the earlier credit-based store extraction API, which is not accepting requests. Extraction now runs as Jobs from your agent: Amazon and the Shopify stores in the endpoint catalogue.

Synthetic catalog data · not a retrieval result
02 / Inspect the example
Example answer · calculated from fictional values

Which variants does this example mark available?

Small / Navy, Medium / Navy are marked available in this synthetic example. 1 example value is unknown.

USD 32.00USD 34.00fictional example prices

No live source, price observation or inventory state is represented.

Illustrative schema · synthetic records
01Copy the setup promptPaste it into your coding agent02Approve the emailFree sign-in, no key in chat03Ask for productsSearch shops, compare sellers
Agent setup prompt
Setup prompt · contains no credentials
set up https://mcp.datawebot.com/setup.md

What this does: your coding agent reads the setup page, asks for your email, waits while you approve the sign-in email from datawebot, saves its key to a private file and connects to the MCP server at https://mcp.datawebot.com/mcp. You never paste a key into the chat.

Then ask, for example: "Find Sony WH-1000XM5 prices in the US and list the sellers with links."
The agent uses search_products to find products across online shops, then get_product_offers for each seller's price and a direct link to the shop.
Results are best-effort snapshots with a retrieval time. They are not verified or live prices.
Agent-ready contract

Small responses. Durable work.

An agent does not need to hold a browser session open. It can estimate a bounded request, persist the returned ID, yield while processing, and retrieve paginated JSON when ready.

Read the agent guide
Idempotent

A stable request key recovers the original extraction after uncertain transport.

Budgeted

Per-run and per-key daily ceilings enforce the authority granted by the owner.

Recoverable

Status, next action and polling hints tell the agent whether to wait or escalate.

Traceable

Results retain source identity, retrieval time, currency and completeness notes.

One upstream service, many downstream uses.

Shopping, research, catalogue and pricing agents can use the same source-faithful records without datawebot. making their decisions.

Shopping research

Retrieve current source observations for products an agent is evaluating.

Catalogue work

Bring source identifiers, variants and prices into an enrichment pipeline.

Market analysis

Collect bounded observations that your own workflow can normalize and compare.

A few useful answers.

Connect your agent.

Free email sign-in. Search products across online shops and list seller offers with direct links.

Agent setup