Install
openclaw skills install axesso-data-service-amazonAxesso Data Service - Amazon integration. Manage data, records, and automate workflows. Use when the user wants to interact with Axesso Data Service - Amazon data.
openclaw skills install axesso-data-service-amazonAxesso provides real-time Amazon product data, including pricing, sales ranks, and reviews. It's used by brands, retailers, and researchers to monitor market trends and optimize their Amazon strategies.
Official docs: https://axesso.com/amazon-data-api/
Use action names and parameters as needed.
This skill uses the Membrane CLI to interact with Axesso Data Service - Amazon. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.
Install the Membrane CLI so you can run membrane from the terminal:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=<agentType>
This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.
Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with:
membrane login complete <code>
Add --json to any command for machine-readable JSON output.
Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness
Use membrane connection ensure to find or create a connection by app URL or domain:
membrane connection ensure "https://axesso.de/" --json
The user completes authentication in the browser. The output contains the new connection id.
This is the fastest way to get a connection. The URL is normalized to a domain and matched against known apps. If no app is found, one is created and a connector is built automatically.
If the returned connection has state: "READY", skip to Step 2.
If the connection is in BUILDING state, poll until it's ready:
npx @membranehq/cli connection get <id> --wait --json
The --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.
The resulting state tells you what to do next:
READY — connection is fully set up. Skip to Step 2.
CLIENT_ACTION_REQUIRED — the user or agent needs to do something. The clientAction object describes the required action:
clientAction.type — the kind of action needed:
"connect" — user needs to authenticate (OAuth, API key, etc.). This covers initial authentication and re-authentication for disconnected connections."provide-input" — more information is needed (e.g. which app to connect to).clientAction.description — human-readable explanation of what's needed.clientAction.uiUrl (optional) — URL to a pre-built UI where the user can complete the action. Show this to the user when present.clientAction.agentInstructions (optional) — instructions for the AI agent on how to proceed programmatically.After the user completes the action (e.g. authenticates in the browser), poll again with membrane connection get <id> --json to check if the state moved to READY.
CONFIGURATION_ERROR or SETUP_FAILED — something went wrong. Check the error field for details.
Search using a natural language description of what you want to do:
membrane action list --connectionId=CONNECTION_ID --intent "QUERY" --limit 10 --json
You should always search for actions in the context of a specific connection.
Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).
| Name | Key | Description |
|---|---|---|
| Get Sort Options | get-sort-options | Get available sort options that can be used with the Search Products by Keyword action. |
| Search Products by Keyword | search-products-by-keyword | Search for products on Amazon using a keyword. |
| Lookup Product | lookup-product | Lookup detailed product information from Amazon by providing a product URL. |
| Get Buy Recommendations | get-buy-recommendations | Get product buy recommendations for a given Amazon product URL. |
membrane action run <actionId> --connectionId=CONNECTION_ID --json
To pass JSON parameters:
membrane action run <actionId> --connectionId=CONNECTION_ID --input '{"key": "value"}' --json
The result is in the output field of the response.
When the available actions don't cover your use case, you can send requests directly to the Axesso Data Service - Amazon API through Membrane's proxy. Membrane automatically appends the base URL to the path you provide and injects the correct authentication headers — including transparent credential refresh if they expire.
membrane request CONNECTION_ID /path/to/endpoint
Common options:
| Flag | Description |
|---|---|
-X, --method | HTTP method (GET, POST, PUT, PATCH, DELETE). Defaults to GET |
-H, --header | Add a request header (repeatable), e.g. -H "Accept: application/json" |
-d, --data | Request body (string) |
--json | Shorthand to send a JSON body and set Content-Type: application/json |
--rawData | Send the body as-is without any processing |
--query | Query-string parameter (repeatable), e.g. --query "limit=10" |
--pathParam | Path parameter (repeatable), e.g. --pathParam "id=123" |
membrane action list --intent=QUERY (replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss.