AI delivery

Ship product datasets into Perplexity, OpenAI, and Claude.

Collected marketplace rows become MCP tools. Connect the server once, then ask about assortment, price architecture, and ratings inside the AI chat you already use.

How it works

Extract, expose, connect.

Same curated coverage as our datasets — delivered as a scoped MCP server instead of a file drop alone.

  1. 01

    Scope the cut

    Pick marketplaces, categories, and countries. We build the extract on the shared product schema.

  2. 02

    Expose via MCP

    We stand up a read-only MCP server over your slice — tools and resources, not a raw dump to re-parse.

  3. 03

    Connect the client

    Point Perplexity, OpenAI, or Claude at the server and query catalog, prices, and ratings in-chat.

Clients

One server. Three AI surfaces.

Capabilities differ by product, but the underlying product rows stay the same — so answers stay comparable across tools.

MCP Perplexity

Perplexity

Spaces · Desktop

  • Connect the MCP server in Spaces or the desktop client
  • Ask research questions grounded in your private catalog
  • Cite listing URLs and snapshot dates in answers
  • Mix live web research with your product rows

Best for Competitive research that needs citations and open-web context.

MCP OpenAI

OpenAI

ChatGPT · Agents

  • Attach MCP tools in ChatGPT or agent workflows
  • Structured tool calls over the 14-field schema
  • JSON-friendly answers for downstream pipelines
  • Reuse the same server across team workspaces

Best for Teams that want tool-shaped answers and repeatable agent runs.

MCP Claude

Claude

Desktop · API · Projects

  • Claude Desktop and API MCP connectors
  • Long-context analysis across large category cuts
  • Projects that keep the server pinned for the team
  • Compare SKUs and price bands without leaving chat

Best for Deep reads across wide assortment slices in one session.

MCP surface

What the server exposes.

Tools map to the same fields documented on the Data page — price, rating, availability, URL, snapshot date, and the rest of the core schema.

search_products get_product list_by_marketplace price_snapshot
search_products
Keyword or brand search across your scoped extract.
get_product
Fetch one listing by marketplace product_id.
list_by_marketplace
Page assortment for a platform, category, or seller cut.
price_snapshot
Current and list price with currency and snapshot_date.

Guardrails

Delivery is scoped per engagement — not a public catalog endpoint.

  • Credentials issued per client workspace
  • Read-only tools; no write-back to marketplaces
  • Extract refresh cadence matches your retainer
  • Schema and sample validation before go-live

Resources include latest extract metadata and a short schema description so the model knows the field contract.

Scope an MCP delivery

Tell us which AI client you run and which marketplaces matter. We will propose a server cut, not a generic demo.

Talk to us