Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Apiguru Amazon Data API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fapiguru.app%2Fapiguru" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fapiguru.app%2Fapiguru" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with Apiguru Amazon Data API.
Retrieve full product detail for a single ASIN
Search Amazon products by keyword within a marketplace
Pull customer reviews for a product
Read best-seller rankings and current deals for a category
Fetch live offers and stock for a batch of ASINs
GET STARTED
Look up seller profiles, their listed products, and feedback reviews
Patterns agents use Apiguru Amazon Data API for, with concrete tasks.
★ Agent-driven product research
An AI agent connected through Jentic researches an Amazon product end to end: it searches by keyword, pulls full detail and reviews for the best match, and checks live offers and stock. Because the agent discovers operations by intent, a shopping or sourcing assistant can answer 'what is the best-rated option under this price' from live marketplace data without a developer wiring each lookup.
Search Amazon for a keyword, retrieve full product details and reviews for the top result, and check its live offers and stock
Price and offer monitoring
The live offers and stock endpoint returns current availability for a batch of ASINs, so an agent can monitor a watchlist and react when an offer or stock level changes. Paired with the deals endpoint, it lets an agent surface price drops across a category, turning manual price-checking into an on-demand query against Apiguru's live data.
Fetch live offers and stock for a batch of ASINs and return the deals currently active in their category
Seller intelligence
The seller endpoints return a seller's profile, the products they list, and their feedback reviews. An agent can profile a competitor or vet a seller before sourcing, assembling a read on reputation and catalog breadth from Apiguru's seller data rather than scraping storefronts by hand.
Look up a seller profile by id, list the products that seller offers, and return their feedback reviews
11 endpoints — the apiguru amazon data api returns real-time structured data from amazon marketplaces across 23 countries.
METHOD
PATH
DESCRIPTION
/v2/product-details
Full detail for a single ASIN
/v2/product-reviews
Reviews for a single ASIN
/search
Search products by keyword
/stock
Live offers and stock for up to 10 ASINs
/v2/best-sellers
Best-seller rankings for a category
/v2/deals
Current Amazon deals with filters
/seller-profile
Seller profiles for up to 10 seller IDs
/v2/product-details
Full detail for a single ASIN
/v2/product-reviews
Reviews for a single ASIN
/search
Search products by keyword
/stock
Live offers and stock for up to 10 ASINs
/v2/best-sellers
Best-seller rankings for a category
/v2/deals
Current Amazon deals with filters
/seller-profile
Seller profiles for up to 10 seller IDs
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the Apiguru Amazon Data API by hand means choosing between its X-API-KEY header and api_key query auth, handling batch ASIN limits, and picking the right base URL. Through Jentic you install once, import the API from the Directory, store the key once, and your agent calls it.
Permission scoping
The Apiguru Amazon Data API is read-only and carries its inputs in the query string, so a rule bounds which operations your agent may call: you can allow product and search reads while leaving seller lookups out unless you add them. You choose the operations it may use.
Credential isolation
Your Apiguru API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'get Amazon product details' or 'search Amazon products', and Jentic returns the matching Apiguru operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using Apiguru Amazon Data API through Jentic.
What authentication does the Apiguru Amazon Data API use?
The Apiguru Amazon Data API authenticates with an API key, sent either in the X-API-KEY header or as an api_key query parameter, as declared in its OpenAPI spec; a separate agent base URL also allows a limited number of keyless calls. Through Jentic the key is stored once by your own self-hosted instance and injected at call time, so it never appears in the agent's prompt or logs.
Can I get Amazon product data with the Apiguru Amazon Data API?
Yes. You retrieve full product details and reviews for an ASIN, search products by keyword, and pull best-sellers, deals, and live offers and stock. Seller endpoints return a seller's profile, listed products, and feedback across 23 country marketplaces.
Is there an Apiguru Amazon Data API MCP server?
You do not need an MCP server to give your agent the Apiguru Amazon Data API. Jentic connects it directly from the API Directory: import the API, store your API key once, and your agent calls product and seller lookups on demand without loading another server's tool definitions into its context.
Can I limit what my agent is allowed to do with the Apiguru Amazon Data API?
Yes. Write a rule that allows only the product and search read operations, so the agent can research products but not query seller data unless you add it, and every call it makes is logged for review. The Apiguru Amazon Data API is read-only, so scoping keeps the agent to the lookups you intend.
What are the rate limits for the Apiguru Amazon Data API?
The OpenAPI spec does not state numeric rate limits for the Apiguru Amazon Data API, though the keyless agent base URL documents a small free allowance before per-call settlement. Check the vendor documentation at https://apiguru.app for current limits before running large batches.
How do I search Amazon products with the Apiguru Amazon Data API through Jentic?
Search Jentic for an intent such as 'search Amazon products', and it returns the matching operation with its input schema so your agent passes the keyword and marketplace correctly. To run it on your own infrastructure, install Jentic One from its GitHub repo.
For Agents
Retrieve Amazon product details, reviews, search results, best-sellers, deals, and live offers and stock, plus seller profiles and feedback, across 23 country marketplaces.
Use for: I need the product details for an Amazon ASIN, Search Amazon for products matching a keyword, Get the customer reviews for a product, Retrieve current deals in a category
Not supported: Does not place orders, manage your own inventory, or handle payments. Use for read-only Amazon product, offer, and seller data only.
The Apiguru Amazon Data API returns real-time structured data from Amazon marketplaces across 23 countries. It retrieves full product details and customer reviews for an ASIN, searches products by keyword, and pulls best-seller rankings, current deals, and live offers and stock for batches of ASINs. For the sell side it returns seller profiles, a seller's listed products, and seller feedback reviews.
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>