Install Jentic One Beta

Connect the Ecommerce Data API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Ecommerce 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%2Fecommercedataapi.com%2Fmain" | sh

Step 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%2Fecommercedataapi.com%2Fmain" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic 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.

Capabilities

What an agent can do with Ecommerce Data API.

Search and research Amazon products by keyword or ASIN

Pull an ASIN's price, BSR, and sales-estimate history

Run keyword research with reverse-ASIN lookups and search-volume trends

Analyze market concentration, demand, and price distributions for a category

Look up global trademark registrations by brand

GET STARTED

Start building with Ecommerce Data API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use Ecommerce Data API for, with concrete tasks.

★ Agent-driven product research

An AI agent evaluates whether a product is worth selling by pulling its ASIN detail, review counts, and sales-estimate and price history in one research pass. Because the API returns BSR-based sales estimates and historical trends, the agent can judge demand and pricing pressure before a human spends time on the listing.

Fetch an ASIN's detail, review data, and sales-estimate history, then summarize its demand and price trend

Keyword and traffic intelligence

Sellers optimizing listings need the keywords that drive traffic and the products that already rank for them. The API runs keyword research, reverse-ASIN lookups, and search-volume trends, so an agent can build a keyword set for a listing and see the competing ASINs behind each term.

Run keyword research for a seed term and a reverse-ASIN lookup to list the products ranking for it

Market structure analysis

Deciding whether to enter a category needs a view of how concentrated and how priced it is. The market endpoints return seller and brand concentration, demand trends, and price distribution for a category, so an agent can assess competition and typical price points before a go or no-go call.

Pull brand concentration and price distribution for a category and report whether it is crowded

Key Endpoints

46 endpoints — the ecommerce data api returns amazon marketplace intelligence: product research and asin detail, review data, and price, bsr, and sales-estimate history for a listing.

METHOD

PATH

DESCRIPTION

POST

/v1/amazon/product/research

Research Amazon products

POST

/v1/amazon/asin/detail

Get Amazon product details by ASIN

POST

/v1/amazon/asin/history

Get a product's history

POST

/v1/amazon/review

Get Amazon product reviews

POST

/v1/amazon/keyword-research

Run Amazon keyword research

POST

/v1/amazon/market/research

Run Amazon market research

POST

/v1/global/brand/list

Search global trademarks

POST

/v1/tools/image-text

Extract text from an image

POST

/v1/amazon/product/research

Research Amazon products

POST

/v1/amazon/asin/detail

Get Amazon product details by ASIN

POST

/v1/amazon/asin/history

Get a product's history

POST

/v1/amazon/review

Get Amazon product reviews

POST

/v1/amazon/keyword-research

Run Amazon keyword research

POST

/v1/amazon/market/research

Run Amazon market research

POST

/v1/global/brand/list

Search global trademarks

POST

/v1/tools/image-text

Extract text from an image

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring the Ecommerce Data API by hand means choosing between the X-API-Key header and bearer token and shaping a JSON body for each of its product, keyword, and market endpoints. Through Jentic you install once, import it from the API Directory, store the key once, and your agent calls it.

Permission scoping

The ASIN and keyword travel in the request body, so a rule bounds which operations your agent may call, such as the product and market research reads. You choose the operations it may call, so the trademark and image tools are not included unless you add them.

Credential isolation

Your Ecommerce Data 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 'research an Amazon product' or 'find keywords for a listing', and Jentic returns the matching operation with its input schema so the agent calls the right endpoint without reading the reference docs.

FAQs

Specific to using Ecommerce Data API through Jentic.

What authentication does the Ecommerce Data API use?

The Ecommerce Data API authenticates with an API key, supplied either in the X-API-Key header or as an Authorization bearer token, as declared in its OpenAPI spec. Through Jentic the key is stored encrypted by your own Jentic One instance and injected when a call runs, so it never reaches the agent's prompt or logs.

Can I get an ASIN's sales estimate and price history with this API?

Yes. The API returns BSR-based sales estimates for an ASIN and a history endpoint for its price and rank over time, so an agent can judge demand and pricing pressure for a listing.

What are the rate limits for the Ecommerce Data API?

The OpenAPI spec does not specify rate limits. Check the vendor documentation at ecommercedataapi.com for the current plan limits before running large research batches.

Is there an Ecommerce Data API MCP server?

You do not need an MCP server to give your agent the Ecommerce Data API. Jentic connects it directly from the API Directory: import it, store your API key once, and your agent queries Amazon product and market data on demand.

Can I limit what my agent is allowed to do with the Ecommerce Data API?

Yes. The ASIN and keyword travel in the request body, so a rule bounds which operations your agent may call, such as the product and keyword research reads, rather than naming a product, and every call it makes is logged.

How do I research an Amazon product with this API through Jentic?

Search Jentic for an intent like 'research an Amazon product' and it returns the matching operation with its input schema, then your agent calls it with the API key Jentic injects at runtime. To run it on your own infrastructure, install Jentic One from its GitHub repo.

Ecommerce Data API

AI ReadinessAI-Aware (A-)73/100

See full scorecard

Official vendor OpenAPI document · agent-readyAnalyticsBusiness IntelligenceapiKey, bearer46 EndpointsREST

For Agents

Query Amazon product, review, keyword, and market data, pull ASIN sales and price history, search global trademarks, and extract text from product images.

Use for: Research Amazon products for a product niche, Get the detail and reviews for an ASIN, Pull the price and sales-rank history of a product, Find high-volume keywords for a product listing

Not supported: Does not place orders, manage listings, or process payments. Use for reading Amazon product, keyword, market, and trademark data only.

The Ecommerce Data API returns Amazon marketplace intelligence: product research and ASIN detail, review data, and price, BSR, and sales-estimate history for a listing. It covers keyword research with reverse-ASIN lookups and search-volume trends, market research with concentration and price and demand distributions, and global trademark lookups, plus a tool that reads text from a product image. It is a read-oriented data source for sellers and analysts studying the Amazon market.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: A+Signals: 4

97%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

100%

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

100%

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: ASignals: 4

76%

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

75%

Response Coverage

Percentage of operations with complete response definitions (success, client error, server error).

100%

Tooling Readiness

Health of API ingestion, bundling, and resolution within Jentic pipelines.

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: C+Signals: 4

85%

Description Coverage

Coverage of descriptions across API elements.

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

100%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

49%

Summary Coverage

Coverage of summaries across operations/tags/info.

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: A+Signals: 1

94%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

Security

Trust, risk posture, and security compliance.

Grade: CSignals: 1

55%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: BSignals: 1

64%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the Ecommerce Data API to your agent

Capabilities

Start building with Ecommerce Data API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

Ecommerce Data API

Jentic AI Readiness Score

Ecommerce Data API

Foundational Compliance

Lint Results

Resolution Completeness

Specification Validity

Structural Integrity

Developer Experience & Jentic Compatibility

Example Density

Example Validity

Response Coverage

Tooling Readiness

AI-Readiness & Agent Experience

Description Coverage

Error Standardization

OperationId Quality

Summary Coverage

Agent Usability

Complexity Comfort

Security

Authentication Strength

AI Discoverability

Descriptive Richness