Cumulative Spending Monitor
Under maintenancePricing
Pay per usage
Cumulative Spending Monitor
Under maintenancePricing
Pay per usage
You can access the Cumulative Spending Monitor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "UdEBSIqabzmOU97Dy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tri_angle~cumulative-spending-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tri_angle-cumulative-spending-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tri_angle~cumulative-spending-monitor/runs": { "post": { "operationId": "runs-sync-tri_angle-cumulative-spending-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tri_angle~cumulative-spending-monitor/run-sync": { "post": { "operationId": "run-sync-tri_angle-cumulative-spending-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "periods" ], "properties": { "periods": { "title": "Monitoring Periods", "minItems": 1, "type": "array", "description": "Define one or more time periods to monitor spending. Each period can have its own spending threshold and will be tracked independently.", "items": { "type": "object", "properties": { "label": { "title": "Period Label", "description": "A friendly name to identify this period in reports and notifications (e.g., \"Daily Morning Check\", \"Monthly Billing\").", "type": "string", "editor": "textfield" }, "period": { "title": "Time Period", "description": "Specify \"billing\" to track your Apify billing cycle, or use 24-hour time format (e.g., \"09:00\", \"18:30\") to monitor a rolling 24-hour window starting at that time (UTC). Each time-based period covers 24 hours from the specified start time.", "type": "string", "editor": "textfield", "pattern": "^(([0-1][0-9]|2[0-3]):[0-5][0-9]|billing)$" }, "thresholdUsd": { "title": "Spending Threshold (USD)", "description": "The maximum amount you want to spend during this period, in US dollars. When cumulative spending exceeds this amount, you'll receive a notification. Leave empty to monitor without alerting.", "type": "number", "editor": "number", "minimum": 0 } }, "required": [ "label", "period" ] } }, "actors": { "title": "Actors to Monitor", "type": "array", "description": "List of specific Actors to monitor (use Actor IDs or username/name format like \"apify/web-scraper\"). Leave empty to monitor ALL Actors in your account.", "items": { "type": "string" } }, "instanceName": { "title": "Instance Name", "type": "string", "description": "A unique name for this monitoring setup (e.g., \"production-monitor\"). This prevents duplicate notifications—once a threshold is reached for a period, you won't be notified again for that same period, even if the Actor runs multiple times. Choose a descriptive name and keep it consistent between runs." }, "enableSlackNotifications": { "title": "Enable Slack Notifications", "type": "boolean", "description": "Turn on to receive Slack messages when any monitored period exceeds its spending threshold.", "default": false }, "slackToken": { "title": "Slack Bot Token", "type": "string", "description": "Your Slack bot token (starts with xoxb-). Required if Slack notifications are enabled. Keep this secret! Get one by creating a Slack App with chat:write permissions." }, "slackChannels": { "title": "Slack Channels", "minItems": 1, "type": "array", "description": "List of Slack channel names or IDs to post notifications to (e.g., #spending-alerts, C1234567890). Required if Slack notifications are enabled. Your bot must be added to these channels.", "items": { "type": "string" } }, "enableEmailNotifications": { "title": "Enable Email Notifications", "type": "boolean", "description": "Turn on to receive email messages when any monitored period exceeds its spending threshold.", "default": false }, "emailRecipients": { "title": "Email Recipients", "minItems": 1, "type": "array", "description": "Comma-separated email addresses for each notification group. Each entry creates a separate email, and recipients in the same entry can see each other. Example: \"user1@example.com,user2@example.com\" (one group) or separate entries for individual emails. Required if email notifications are enabled.", "items": { "type": "string", "pattern": "^[^@\\s,]+@[^@\\s,]+(,[^@\\s,]+@[^@\\s,]+)*$" } } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Cumulative Spending Monitor from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: