Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the DfShop 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%2Fdfshop.com%2Fdfshop" | 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%2Fdfshop.com%2Fdfshop" | 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 DfShop API.
List the products in a DfShop store and retrieve a single product by id
Export the product catalog as a CSV file
Generate a Google Shopping feed from the catalog
Check inventory levels across the catalog or for a specific product
List orders and retrieve a single order by id
GET STARTED
Create a new order and update an existing order
Patterns agents use DfShop API for, with concrete tasks.
★ Agent-Managed Order Processing
An AI agent running a store's back office can list new orders, retrieve a specific order's details, and update its status through the DfShop API. Paired with the product and inventory reads, the agent can confirm stock before accepting an order and keep order records current.
List recent orders, retrieve one order by its id, and update it to a fulfilled state
Product Catalog and Google Feed Sync
Merchandising tools can pull the full product catalog as JSON or CSV and generate a Google Shopping feed directly from the DfShop API. This keeps external channels and spreadsheets in sync with the store's current products without manual exports.
Export the product catalog as CSV and generate the Google Shopping feed for the store
Inventory Availability Checks
Order and fulfillment logic can query inventory levels for the whole catalog or a single product before promising availability. The DfShop API returns inventory data per product so an agent can avoid overselling an out-of-stock item.
Check the inventory data for a specific product id and report whether it is in stock
10 endpoints — jentic publishes the only available openapi specification for dfshop api, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
/v1/products
List all products
/v1/products/{product_id}
Retrieve a product
/v1/inventory
List inventory data
/v1/inventory/{product_id}
Get inventory data for a specific product
/v1/orders
List all orders
/v1/orders
Create an order
/v1/orders/{order_id}
Retrieve an order
/v1/orders/{order_id}
Update an order
/v1/products
List all products
/v1/products/{product_id}
Retrieve a product
/v1/inventory
List inventory data
/v1/inventory/{product_id}
Get inventory data for a specific product
/v1/orders
List all orders
/v1/orders
Create an order
/v1/orders/{order_id}
Retrieve an order
/v1/orders/{order_id}
Update an order
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the DfShop API by hand means managing its API token, deciding whether to send it as the X-DfApi-Token header or the token query parameter, and handling product, inventory, and order calls separately. Through Jentic you install once, import the DfShop API from the API Directory, store the token once, and your agent calls it.
Permission scoping
DfShop puts the product and order ids in the URL path, such as /v1/orders/{order_id}, so a rule can scope your agent to specific orders or products. You choose which operations it may call, so read-only operations like listing products and inventory can be allowed while order creation and updates stay out unless you add them.
Credential isolation
Your DfShop API token 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 'list products in my shop' or 'create an order', and Jentic returns the matching DfShop operation with its input schema so the agent calls the right endpoint without reading the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using DfShop API through Jentic.
Why is there no official OpenAPI spec for DfShop API?
DfShop does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call DfShop API via structured tooling. It is validated against the live API and kept up to date. To run it on your own infrastructure, install Jentic One from its GitHub repo.
What authentication does the DfShop API use?
The DfShop API authenticates with an API key, which you can send either in the `X-DfApi-Token` header or as a `token` query parameter, per its OpenAPI spec. Through Jentic the key is stored encrypted by your own Jentic One instance and injected at call time, so it never enters the agent's prompt or logs.
Can I create and update orders with the DfShop API?
Yes. The DfShop API lists orders, retrieves a single order by its id, creates a new order, and updates an existing one. You can read product and inventory data alongside orders to confirm availability before an order is placed.
What are the rate limits for the DfShop API?
The OpenAPI spec does not specify rate limits for the DfShop API. Check the provider's documentation at https://dfshop.com for the current limits that apply to your token.
Can I limit what my agent is allowed to do with the DfShop API?
Yes. Order and product ids travel in the URL path, so a rule can scope your agent to specific orders or products. Write a rule that allows only the read operations, such as listing products and checking inventory, and leave order creation and updates out unless the agent needs them, and every call it makes is logged.
How do I process orders with the DfShop API through Jentic?
Search Jentic for 'create an order in my shop' and it returns the DfShop create-order operation with its input schema. Import the DfShop API from the Jentic API Directory, store your API token once, and your agent can list, create, and update orders without hand-wiring the token on each request.
Is there a DfShop API MCP server?
You don't need an MCP server to give your agent the DfShop API. Jentic connects it directly from the API Directory: import it, store your token once, and your agent calls the product, inventory, and order operations. Nothing extra loads into the agent's context until an operation is actually used.
Know of an official OpenAPI document? Contribute it →
For Agents
Manage a DfShop store's product catalog, inventory levels, and orders: list and retrieve products, export catalog feeds, check stock, and create or update orders.
Use for: List all products in the shop, Retrieve a single product by its id, Export the product catalog as a CSV, Get the Google Shopping feed for the store
Not supported: Does not handle payment processing, shipping label generation, or customer accounts. Use for managing a DfShop store's products, inventory, and orders only.
Jentic publishes the only available OpenAPI specification for DfShop API, keeping it validated and agent-ready. The DfShop API manages an online store's product catalog, inventory, and orders. It lists and retrieves products, exports the catalog as CSV, generates a Google Shopping feed, reports inventory levels per product, and lists, creates, retrieves, and updates orders.
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>