APIs & AI agents
Choose ecommerce APIs and MCP integrations by required inputs, returned fields, supported marketplaces and credit use.
For: Developers, analysts and teams building AI agents
Start with one workflow
Required evidence → endpoint selection → bounded pilot → field validation → integration
Design an ecommerce agent workflow → · Test a focused workflow → · Inspect a real test → · Check official product access →
Evidence limits: A successful request does not establish bulk support, historical depth or every advertised field. Verify current endpoint documentation and keep API credentials private.
Practical guides
1688 Product Detail API: SKU Prices, MOQ & Shipping
Read 1688 SKU prices, quantity tiers, MOQ and shipping fields with Nexscope. See a request example and learn what to verify before comparing supplier offers.
Inspect this resource →Agentic Resource Discovery (ARD): ARD.json, AI Agents and APIs
What Agentic Resource Discovery (ARD) and ard.json mean for AI agent discovery, GEO, MCP, A2A, catalogs, and callable APIs.
Inspect this resource →Amazon Ads API Guide: Access, Reports & Campaign Controls
Explore Amazon Ads APIs on Nexscope: account authorization, campaign reads, reporting and approval boundaries for Sponsored Products, Brands and Display.
Inspect this resource →Amazon Product Research API: A Trial-to-Paid Pilot | Nexscope
Run a small Amazon product research API pilot with Nexscope Search, Product Detail, and Reviews List before committing to recurring credits.
Inspect this resource →Amazon Search Volume API: Compare Data & Test Coverage
Compare Amazon search volume and product research APIs by marketplace, keyword metrics, history and cost. Inspect dated response examples before choosing a provider.
Inspect this resource →Backlink API: Referring Domains & New or Lost Links
Choose a backlink API by task: profile overview, referring domains, link records or new/lost history. Check sample limits and inspect the matching Playground.
Inspect this resource →Ecommerce APIs for AI Agents
Choose ecommerce APIs for an AI agent by task, evidence, marketplace coverage, REST or MCP access, credit cost, reliability, and human approval boundaries.
Inspect this resource →Ecommerce Data API Pricing: Estimate Credits Before You Buy | Nexscope
Estimate Nexscope ecommerce Data API credits from a real workflow, compare a subscription with Data-only top-ups, and decide when to move beyond the free trial.
Inspect this resource →Ecommerce MCP Server: Nexscope Tools, Setup, and Safety
Connect an AI agent to the Nexscope ecommerce MCP server. Review the live endpoint, OAuth setup, current tools, async media workflow, and safety checks.
Inspect this resource →Ecommerce Product Data Enrichment: SKU and Feed Workflow
Learn how to enrich product data across SKUs, pages and feeds. Check missing attributes, variant mismatches and AI-drafted copy before publishing.
Inspect this resource →Enterprise Ecommerce API and MCP Partnerships
Explore Nexscope enterprise ecommerce APIs and MCP tools for product research, search intelligence and AI creative workflows, with tailored integration support.
Inspect this resource →Etsy Product Research API: Listings, Shops & Competitors
Research Etsy products with Nexscope APIs: find categories, filter listings, inspect shops and validate public listing details without treating estimates as sales proof.
Inspect this resource →Keyword Ranking API: Competitor Keywords & Traffic
Find competitor keywords and ranking URLs with Nexscope's keyword ranking API. Compare ranking data, SERP snapshots and tracking needs before opening Playground.
Inspect this resource →Live Ecommerce Data Extraction: API vs Feed vs Page Audit
Need to parse a live product page? Choose between a data extraction API, catalog feed and page audit, then check variants, source evidence and field accuracy.
Inspect this resource →MCP Server Guide for Ecommerce Tools
Learn what an MCP server is, how hosts, clients, and tools work, and how ecommerce agents can use Nexscope APIs through MCP safely.
Inspect this resource →Nexscope API capabilities and ecommerce workflows
A practical map of Nexscope ecommerce data, SEO and GEO, creative AI, REST, and MCP capabilities with workflow examples and limitations.
Inspect this resource →Ozon Product Research API: Reports, Keywords & Trends
Use Ozon product reports, detail, keyword and trend APIs in one research workflow. Check date windows, source IDs and request examples before comparing products.
Inspect this resource →Shopee Product Research API: Search, Sales & Details
Research Shopee products with site-specific search, sales filters and product-detail requests. Follow Nexscope examples while keeping estimates and currencies separate.
Inspect this resource →Temu Product Research API: Products, Shops & Keywords
Plan a Temu research workflow using product, shop, category and keyword APIs. Keep source IDs, regions and metric definitions aligned before comparing candidates.
Inspect this resource →TikTok Shop API: Product, Creator and Video Research
Use a TikTok Shop API workflow to research products, creators, videos, rankings, and shop signals with documented fields and limits.
Inspect this resource →Walmart Product API: Search, Keywords & Market Research
Use Walmart research APIs to search products, inspect details and explore category and keyword evidence. Separate provider signals from private seller-account data.
Inspect this resource →Compare workflow fit
Helium 10 API Alternative: Compare REST & MCP Access
Need a Helium 10 API alternative? Compare REST and MCP access, ASIN keyword workflows, pricing models and a dated Nexscope response before choosing your stack.
Inspect this resource →Jungle Scout API Alternative: Compare Data & Workflow
Compare Jungle Scout API and Nexscope for ASIN keywords, historical search volume and custom research workflows. Inspect evidence and plan a field-by-field pilot.
Inspect this resource →Nexscope vs Keepa API: Amazon Data Comparison
Compare Keepa API and Nexscope for Amazon price history, BSR signals, tracking, broader ecommerce APIs, MCP access, and AI-agent workflows.
Inspect this resource →Rainforest API Alternative: Compare Fields & Migration
Evaluating a Rainforest API alternative? Compare search requests, product fields, credits and migration checks, with a Nexscope request and dated response evidence.
Inspect this resource →Recorded tests
Amazon Listing Optimizer | ASIN Audit
Review a recorded Nexscope Amazon Listing Optimizer test, including its ASIN, marketplace, readiness scores, sources, credit uncertainty, and limits.
Inspect this resource →Amazon Product Price Series API Test
Inspect a real Nexscope Amazon price-series response with four dated price observations, an empty deal array and explicit coverage limitations.
Inspect this resource →Amazon Reviews API | Low-Star Sample
Inspect a real Nexscope Amazon review collection with its ASIN, marketplace, requested ratings, returned count, source IDs and analysis limitations.
Inspect this resource →Portable Blender Keyword & Competitor API Test
Inspect a dated Nexscope test connecting Google US keyword estimates to a bounded Amazon US competitor sample, with exact inputs and limitations.
Inspect this resource →Dated analysis and insights
AI Coworkers for Ecommerce: 5 Workflows to Test
Learn how ecommerce teams can test AI coworkers for research, catalog QA, support and marketing with clear permissions, evidence and human approval.
Inspect this resource →Agentic Checkout for Ecommerce: A Seller Checklist
Compare AI agent checkout paths and use a practical seller checklist to test product discovery, page accuracy, buyer approval, and measurement.
Inspect this resource →Amazon ASIN Keywords API: Build a Competitor Keyword Shortlist
Use the Nexscope Amazon ASIN Keywords API to collect competitor keyword evidence and turn comparable ASINs into a focused listing plan.
Inspect this resource →Amazon Accelerate 2026 AI Tools: What to Test After Launch
Choose a Seller Assistant, Canvas or Claude plugin task after Amazon Accelerate. Separate account data from research and use a downloadable one-SKU test log.
Inspect this resource →Amazon Competitor Research API: Build a Dated Comparison Workflow
Combine Amazon product, review, price, market, and keyword APIs into a dated competitor comparison without building a data pipeline from scratch.
Inspect this resource →Amazon Reviews API: Find Product Pain Points in Customer Feedback
Use the Nexscope Amazon Reviews API to retrieve dated review evidence, group recurring product pain points, and decide what to validate next.
Inspect this resource →Amazon Seller Assistant Canvas: Test Guide
See what Amazon Seller Assistant Canvas is, how scenario modeling may help sellers, which guardrails to verify, and a practical one-SKU test plan.
Inspect this resource →BrowserAct AI Web Scraper Review for AI Agent Automation
Compare BrowserAct as a browser automation tool for AI agents and a no-code web scraper, including Google Maps scraping, pricing, limits, and alternatives.
Inspect this resource →Claude Sonnet 5.5 for Ecommerce: A Practical Test
Evaluate Claude Sonnet 5.5 for ecommerce research, review analysis and catalog workflows using quality, speed, cost and human-review checks.
Inspect this resource →Codex for Ecommerce: 10 Nexscope API Workflows
Combine new Codex models with Nexscope REST APIs for Amazon research, reviews, SEO, AI visibility, sourcing, and creative production.
Inspect this resource →Connect Claude to Amazon: Plugin Access & Research Tools
Connecting Claude to Amazon? Check seller-plugin access, permissions and a read-only test, then explore MCP tools for public product and competitor research.
Inspect this resource →Jev AI for Structured Ecommerce Decisions
What Jev's typed decisions can and cannot do for ecommerce, with a review-routing pilot, data requirements, and a method for testing errors.
Inspect this resource →OpenAI Decisions API vs Jev: Pricing & Ecommerce Evaluation
Compare current Decisions API and Jev pricing, typed outputs and evidence limits. Use a review-triage evaluation sheet before choosing a decision model.
Inspect this resource →OpenAI Dots for Ecommerce: What Teams Should Know
Learn what OpenAI Dots are, which plans include them, how ecommerce teams can test recurring work, and where approval, memory, and data controls matter.
Inspect this resource →Shopify WebMCP Checkout: How Browser Agents Buy
Learn how Shopify WebMCP checkout lets browser agents read and update checkout, where buyer approval is required, and which limitations merchants should test.
Inspect this resource →TikTok Shop Product and Creator APIs: A Research Workflow
Combine TikTok Shop product, video, live, and creator evidence into a focused affiliate and content research workflow with Nexscope APIs.
Inspect this resource →