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Nexscope Data · Ecommerce data for AI Agents

Ecommerce data your AI Agent can act on

Connect once. Let your Agent query product, keyword, ranking, review and store data based on the task. Current web tools start with Amazon; broader marketplace capabilities depend on catalog and integration status.

Agent-guided setup

Connect Nexscope Data to your Agent

Send this guide to a web-enabled Agent to configure Nexscope Data through conversation.

Open and follow https://www.nexscope.ai/mcp-map to help the user access Nexscope ecommerce data. When the request is open-ended, give a concise overview grouped by category: summarize what each category can do and mention only a few representative capabilities, not the full tool list or every schema. Then guide the user to choose a category, capability, or goal. Do not make an API key or detailed parameters the first response before a capability is selected. Once the user chooses a capability, use its request/response schema to select and call the correct MCP tool through the documented MCP/JSON-RPC flow. If a required input is missing, ask for it and explain what it controls; never invent a value or fill it with a documentation example. Return the selected tool's structured result directly.

The guide helps your Agent configure access; API keys, sign-in, Credits, and Provider availability still apply.

Open Agent guide
Ask your AgentStructured result
“Research a market + keyword”

Demand, price, sales and competition signals

“Monitor this product or store”

Rank, price, review and operating changes

“Check this listing or competitor”

Content gaps and comparable fields

Let your Agent check the data before it answers

Start with an ecommerce question. Your Agent calls the relevant data tools, keeps the evidence boundaries clear, and returns an answer you can act on.

Start with one question

No need to choose an API or learn a data interface first.

Ask your Agent
“Is it still worth entering the water bottle market on Amazon US?”
The Agent checks Nexscope Data

Collect decision evidence around the same question

  1. Market and keyword demand

    Review demand, price, sales and competition signals

  2. Products, rankings and price bands

    Map current rankings and product distribution

  3. Listings, reviews and competitors

    Check content gaps and comparable fields

The Agent structures the answer

Not just a conclusion, but the evidence and its limits

  • What data was found
  • Which values are estimates
  • What evidence is still missing
  • What to do next

Skills and MCP are the connection layer. The user starts with a question; the Agent selects and calls the data capability.

Three data tasks your Agent can use today

Current web entries start with three Amazon tasks; broader marketplace and cross-platform capabilities can be discovered in the catalog. Input schemas and tool definitions come from the same Data Registry, while Agent calls and production Provider results still depend on each integration status.

AmazonCurrent product entry

Amazon Keyword Researcher

Check one keyword for demand, competition, and product opportunity signals.

Input
Keyword and marketplace
Result form
Demand, price, sales, and competition signals
Value type
Observed fields + estimated and derived metrics
MarketKeywordtable
Sign-in + Credits
AmazonCurrent product entry

Amazon Product Rankings

Browse current product and category rankings. Continuous monitoring and alerts are not included yet.

Input
Marketplace, ranking type, category, or ASIN
Result form
Ranking lists and current product positions
Value type
Current lists + estimated units and revenue
MarketRanking typeranking
Sign-in + Credits
AmazonCurrent product entry

Amazon Listing Quality Checker

Run a focused quality check across the visible components of one Amazon listing.

Input
ASIN or Amazon product URL
Result form
Title, image, bullet, A+ content, and keyword checks
Value type
Listing snapshot + derived quality checks
MarketASIN / Amazon URLscorecard
Sign-in + Credits

From focused queries to multi-source decisions

The following previews show planned composite APIs or Skills and their intended result structure. They are not current Live execution results. Data source names come from the current catalog; actual availability depends on Provider access.

Composite preview · Planned

Product opportunity assessment

Input
  • Keyword
  • Category
  • Market
Planned capabilities
  • Product and demand signals
  • Competition and review evidence
Expected result
  • Evidence grouped by demand, competition and customer gaps
  • Known limits and missing values
DecisionAn evidence-backed market entry judgment
Composable sources in the current catalog
  • ABA Data Explorer
  • Amazon Product Search
  • Amazon Product Reviews
  • Keepa Product Data Request
  • SellerSprite Market Research
  • Jungle Scout -- ASIN Sales Estimates
Composite preview · Planned

Listing diagnosis

Input
  • ASIN
  • Market
Planned capabilities
  • Listing and keyword checks
  • Competitor and review evidence
Expected result
  • Content and keyword gaps
  • Recommendations ordered by likely impact
DecisionThe changes to prioritize next
Composable sources in the current catalog
  • Amazon Product Detail Lookup
  • Amazon Product Reviews
  • SIF ASIN Keyword Analysis
  • SellerSprite Traffic Keyword
  • ABA Data Explorer
Composite preview · Planned

Competitor monitoring

Input
  • Competitor ASIN list
  • Market
  • Monitoring cadence
Planned capabilities
  • Rank, price and sales change signals
  • Review change signals
Expected result
  • A timeline of material changes
  • Follow-up actions linked to the evidence
DecisionWhich competitor changes need a response
Composable sources in the current catalog
  • Amazon Product Detail Lookup
  • Amazon Product Reviews
  • Keepa Product Data Request
  • Sorftime Product Search
  • Jungle Scout -- ASIN Sales Estimates

Know what each value means

One result can contain observed, estimated, derived and missing fields. Nexscope keeps those meanings distinct.

Observed fields

Fields returned by the Provider or directly observed, with source and time boundaries.

Estimated metrics

Values estimated by a source model and kept distinct from direct observations.

Derived checks

Rule-based content and quality checks that are not presented as external facts.

Missing values

Shown as missing when the Provider returns no value; Demo numbers are not substituted.

Find data capabilities across 12 ecommerce jobs

Choose the job, then filter the catalog below. Match counts refer to catalog entries, not verified Live Providers.

One data layer, delivered wherever your Agent works

Delivery depends on whether that capability is open. Catalog discovery does not automatically mean Skill, API or MCP access is ready.

Agent / Skill

Let the Agent choose a capability

Connect once, then let the Agent call supported data Skills based on the task.

API / MCP

Connect another system

Connect only when the relevant API or MCP access is formally open.

Web

Query directly on the web when useful

Use the current Data tools for a focused query or to inspect inputs.

Credits

Review the estimate before a call

Server usage depends on the actual integration status.

Connect an Agent Open Data workspaceView pricing

What should I know before starting?

What can I query today?

Current web tools start with Amazon keyword research, product rankings and listing quality checks. The broader catalog includes cross-platform and marketplace-specific entries; catalog presence does not mean a Live Provider has been verified.

Are the composite cases available to run?

No. They are planned previews of future composite APIs or Skills and show the intended input and result structure, not a live execution result.

When do I need to sign in?

You can browse and copy the setup command without signing in. Before an Agent makes a Live query, install the Nexscope CLI and sign in; calls require Credits, and missing Provider data is not replaced with Demo results.

What is the difference between Data, a Skill and API/MCP delivery?

A Skill describes a task an Agent can call. MCP connects those supported Skills to an Agent client. API delivery connects an open capability to another system, while the Data workspace remains a direct web query option.

Does every catalog entry represent a live provider?

No. Server catalog entries show their individual status. A maintained snapshot is for capability discovery and does not prove that a live provider call has been verified.

Give your Agent one ecommerce data task

Connect Nexscope Data, then start with a marketplace, product, keyword or competitor question.

Get the Agent setup command