# MCP E-commerce Margin Monitor Tool (`glowing_glove/mcp-ecommerce-margin-monitor-tool`) Actor MCP-ready price and margin monitor for AI commerce agents using a prompt-first interface. Extract prices, stock clues, currency, and margin status from product pages. - **URL**: https://apify.com/glowing\_glove/mcp-ecommerce-margin-monitor-tool.md - **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $7.00 / 1,000 product checks This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## MCP E-commerce Margin Monitor Tool ### What it does MCP-ready tool for AI agents to monitor product pages, extract prices, classify stock clues, and calculate margin risk. This is packaged for Apify deployment and exposed to AI clients through the Apify MCP server as a callable MCP tool. The public-facing name, schema, output, pricing, and listing copy are MCP-first. ### Buyer AI commerce agents, Shopify sellers, e-commerce agencies ### Input See input_schema.json and .actor/input_schema.json for the exact MCP-compatible input schema. ### Output See output_schema.json for the structured result contract. Outputs include status/warnings fields so AI agents can reason about partial or failed records. ### Pricing Recommended pricing: **USD 2.50 per 1,000 product checks**. ### Categories E-commerce ### Local testing `ash npm install npm test npm run validate apify validate-schema npm start ` ### Apify MCP usage After deployment, connect an MCP client to https://mcp.apify.com and include this tool by selecting it in the Apify MCP configurator or by adding it to the MCP ools parameter. ### Marketplace note This is MCP-ready display copy. Marketplace publication still requires Ushba's business approval. ### Apify deployment This MCP tool is deployed to Apify so it can be exposed through `https://mcp.apify.com` to MCP clients. Deployment checks: ```bash npm test npm run validate apify validate-schema apify info apify push ```` Marketplace publication is separate and requires Ushba's business approval. # Actor input Schema ## `prompt` (type: `string`): Natural-language instruction from an MCP client or AI agent. The tool extracts URLs/entities/settings from this prompt and runs the requested workflow. ## `products` (type: `array`): Optional structured fallback for API users. MCP agents should prefer prompt. ## `defaultCost` (type: `number`): Fallback unit cost used when product cost is missing. ## `defaultTargetMarginPercent` (type: `number`): Fallback target gross margin percent. ## `requestDelayMs` (type: `integer`): Polite delay in milliseconds between public page requests. ## Actor input object example ```json { "prompt": "Check product margins for SKU-1 at https://example.com/product with cost 20 and target margin 35 percent. Return price, currency, availability, margin status, and recommended action.", "products": [ { "sku": "SKU-1", "productUrl": "https://example.com/product", "cost": 20, "targetMarginPercent": 35, "competitorName": "Example Store" } ], "defaultTargetMarginPercent": 35, "requestDelayMs": 500 } ``` # Actor output Schema ## `results` (type: `string`): Default dataset items produced by this MCP-compatible tool. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "prompt": "Check product margins for SKU-1 at https://example.com/product with cost 20 and target margin 35 percent. Return price, currency, availability, margin status, and recommended action.", "products": [ { "sku": "SKU-1", "productUrl": "https://example.com/product", "cost": 20, "targetMarginPercent": 35, "competitorName": "Example Store" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("glowing_glove/mcp-ecommerce-margin-monitor-tool").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "prompt": "Check product margins for SKU-1 at https://example.com/product with cost 20 and target margin 35 percent. Return price, currency, availability, margin status, and recommended action.", "products": [{ "sku": "SKU-1", "productUrl": "https://example.com/product", "cost": 20, "targetMarginPercent": 35, "competitorName": "Example Store", }], } # Run the Actor and wait for it to finish run = client.actor("glowing_glove/mcp-ecommerce-margin-monitor-tool").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "prompt": "Check product margins for SKU-1 at https://example.com/product with cost 20 and target margin 35 percent. Return price, currency, availability, margin status, and recommended action.", "products": [ { "sku": "SKU-1", "productUrl": "https://example.com/product", "cost": 20, "targetMarginPercent": 35, "competitorName": "Example Store" } ] }' | apify call glowing_glove/mcp-ecommerce-margin-monitor-tool --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=glowing_glove/mcp-ecommerce-margin-monitor-tool", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MCP E-commerce Margin Monitor Tool", "description": "MCP-ready price and margin monitor for AI commerce agents using a prompt-first interface. Extract prices, stock clues, currency, and margin status from product pages.", "version": "1.0", "x-build-id": "fJzCTMVaOuboZ8udt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/glowing_glove~mcp-ecommerce-margin-monitor-tool/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-glowing_glove-mcp-ecommerce-margin-monitor-tool", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/glowing_glove~mcp-ecommerce-margin-monitor-tool/runs": { "post": { "operationId": "runs-sync-glowing_glove-mcp-ecommerce-margin-monitor-tool", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/glowing_glove~mcp-ecommerce-margin-monitor-tool/run-sync": { "post": { "operationId": "run-sync-glowing_glove-mcp-ecommerce-margin-monitor-tool", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "prompt": { "title": "MCP agent prompt", "type": "string", "description": "Natural-language instruction from an MCP client or AI agent. The tool extracts URLs/entities/settings from this prompt and runs the requested workflow." }, "products": { "title": "Structured products", "type": "array", "description": "Optional structured fallback for API users. MCP agents should prefer prompt." }, "defaultCost": { "title": "Default cost", "minimum": 0, "type": "number", "description": "Fallback unit cost used when product cost is missing." }, "defaultTargetMarginPercent": { "title": "Default target margin percent", "minimum": 0, "maximum": 95, "type": "number", "description": "Fallback target gross margin percent.", "default": 35 }, "requestDelayMs": { "title": "Delay between requests", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Polite delay in milliseconds between public page requests.", "default": 500 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```