# BTS Supply Chain Pressure & Freight Indicator Monitor (`aether_studio/bts-supply-chain-pressure-monitor`) Actor Tracks the newest changes across official U.S. supply-chain and freight indicators, including port congestion, vessel queues, diesel prices, grain barge rates, rail activity, freight costs, and transportation labor. - **URL**: https://apify.com/aether\_studio/bts-supply-chain-pressure-monitor.md - **Developed by:** [AetherPromptStudio](https://apify.com/aether_studio) (community) - **Categories:** Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## BTS Supply Chain Pressure & Freight Indicator Monitor Monitor the newest changes across the U.S. Bureau of Transportation Statistics' official Supply Chain and Freight Indicators dataset. The Actor converts a large mixed-cadence public dataset into current, filterable change records for logistics dashboards and monitoring workflows. ### What it covers - Port vessel capacity, anchored ships, and berth queues - Rail traffic, speed, dwell, and cars online - Truck bottleneck speed and planning-time measures - Diesel prices, grain-barge rates, and ocean freight rates - Transportation employment, openings, imports, exports, and demand indicators ### How it works 1. Downloads selected fields from the official BTS Socrata API without authentication or a proxy. 2. Validates that the source still contains at least 10,000 rows and remains below a 50,000-row safety limit. 3. Groups observations by indicator plus both series dimensions. 4. Compares each series' own latest two observations, which correctly handles weekly, monthly, and other cadences together. 5. Applies age, text, direction, change-threshold, and result-limit filters. 6. Writes stable, provenance-rich change records to the default dataset and a `SUMMARY` record to the key-value store. ### Input | Field | Default | Description | |---|---:|---| | `indicatorContains` | empty | Text filter across indicator and series dimensions | | `directions` | all | `pressure`, `easing`, or `neutral` | | `maxAgeDays` | `120` | Exclude stale series | | `minAbsoluteChange` | `0` | Minimum absolute delta; 0 disables it | | `minPercentChange` | `0` | Minimum absolute percentage delta; 0 disables it | | `maxResults` | `200` | Bounded output limit from 1 to 1,000 | When both change thresholds are enabled, a record passing either threshold is included. ### Output Each item contains a stable `recordKey` and `seriesId`, indicator and series dimensions, the newest and previous observation dates and values, absolute and percentage changes, a conservative directional label, units, the original BTS source description, official dataset/API URLs, and retrieval time. ### Directional labels Labels use a deliberately narrow naming convention. Higher queues, anchored vessels, dwell, prices, rates, costs, and planning-time measures are labeled `pressure`; declines are labeled `easing`. Higher speed, capacity, throughput, employment, imports, exports, and vehicle activity are labeled `easing`; declines are labeled `pressure`. Everything else remains `neutral`. These labels do not establish causality and are not forecasts, investment advice, safety guidance, or operational guarantees. ### Source and reuse The source is the official [BTS Supply Chain and Freight Indicators dataset](https://data.bts.gov/Research-and-Statistics/Supply-Chain-and-Freight-Indicators/y5ut-ibwt/about_data). Its metadata identifies the dataset as public U.S. government information under the U.S. Public Domain label. Individual series may be provisional, revised, or derived from third-party inputs; the Actor preserves the series' source description and does not imply government endorsement. ### Local development ```bash npm install npm test apify run --input='{"minPercentChange":1,"maxResults":10}' ```` # Actor input Schema ## `indicatorContains` (type: `string`): Case-insensitive text filter across indicator and series dimensions. Leave empty for all. ## `directions` (type: `array`): Include pressure, easing, or neutral changes. Leave empty for all. ## `maxAgeDays` (type: `integer`): Exclude series whose newest observation is older than this many days. ## `minAbsoluteChange` (type: `number`): Minimum absolute delta. Set 0 to disable. ## `minPercentChange` (type: `number`): Minimum absolute percent change. Set 0 to disable. Thresholds use OR logic when both are enabled. ## `maxResults` (type: `integer`): Maximum number of changed series to output. ## Actor input object example ```json { "indicatorContains": "", "directions": [], "maxAgeDays": 120, "minAbsoluteChange": 0, "minPercentChange": 1, "maxResults": 50 } ``` # Actor output Schema ## `results` (type: `string`): No description ## `summary` (type: `string`): No description # 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 = { "indicatorContains": "", "directions": [], "maxAgeDays": 120, "minAbsoluteChange": 0, "minPercentChange": 1, "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("aether_studio/bts-supply-chain-pressure-monitor").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 = { "indicatorContains": "", "directions": [], "maxAgeDays": 120, "minAbsoluteChange": 0, "minPercentChange": 1, "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("aether_studio/bts-supply-chain-pressure-monitor").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 '{ "indicatorContains": "", "directions": [], "maxAgeDays": 120, "minAbsoluteChange": 0, "minPercentChange": 1, "maxResults": 50 }' | apify call aether_studio/bts-supply-chain-pressure-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aether_studio/bts-supply-chain-pressure-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BTS Supply Chain Pressure & Freight Indicator Monitor", "description": "Tracks the newest changes across official U.S. supply-chain and freight indicators, including port congestion, vessel queues, diesel prices, grain barge rates, rail activity, freight costs, and transportation labor.", "version": "0.1", "x-build-id": "vV4X1lcI2pBm315ly" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aether_studio~bts-supply-chain-pressure-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aether_studio-bts-supply-chain-pressure-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aether_studio~bts-supply-chain-pressure-monitor/runs": { "post": { "operationId": "runs-sync-aether_studio-bts-supply-chain-pressure-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aether_studio~bts-supply-chain-pressure-monitor/run-sync": { "post": { "operationId": "run-sync-aether_studio-bts-supply-chain-pressure-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "indicatorContains": { "title": "Indicator or Series Contains", "type": "string", "description": "Case-insensitive text filter across indicator and series dimensions. Leave empty for all.", "default": "" }, "directions": { "title": "Directional Labels", "uniqueItems": true, "type": "array", "description": "Include pressure, easing, or neutral changes. Leave empty for all.", "items": { "type": "string", "enum": [ "pressure", "easing", "neutral" ], "enumTitles": [ "Pressure", "Easing", "Neutral" ] }, "default": [] }, "maxAgeDays": { "title": "Maximum Series Age", "minimum": 1, "maximum": 730, "type": "integer", "description": "Exclude series whose newest observation is older than this many days.", "default": 120 }, "minAbsoluteChange": { "title": "Minimum Absolute Change", "minimum": 0, "type": "number", "description": "Minimum absolute delta. Set 0 to disable.", "default": 0 }, "minPercentChange": { "title": "Minimum Percent Change", "minimum": 0, "type": "number", "description": "Minimum absolute percent change. Set 0 to disable. Thresholds use OR logic when both are enabled.", "default": 0 }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of changed series to output.", "default": 200 } } }, "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 } } } } } } } } } } ```