Pricing
from $1.40 / 1,000 results
AI news API and aggregator. Get latest AI news today from 30+ sources including ArXiv, TechCrunch, Reddit, and research labs. Filter by keywords, categories, and time range.
Pricing
from $1.40 / 1,000 results
Rating
0.0
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CodeNodeTools
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0
Bookmarked
4
Total users
2
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4 days ago
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You can access the AI News API & Aggregator 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.
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Select one or more categories to include.", "items": { "type": "string", "enum": [ "all", "research", "arxiv", "industry", "companies", "tutorials", "policy", "community", "aggregators" ], "enumTitles": [ "All Categories", "Research Labs & Academia", "ArXiv Research Papers", "Tech News & Industry", "AI Companies", "Tutorials & Learning", "Policy & Ethics", "Community (Reddit)", "News Aggregators" ] }, "default": [ "all" ] }, "keywords": { "title": "Include Keywords", "type": "array", "description": "Only include articles containing these keywords (e.g., GPT, Claude, LLM)", "default": [], "items": { "type": "string" } }, "excludeKeywords": { "title": "Exclude Keywords", "type": "array", "description": "Exclude articles containing these keywords", "default": [], "items": { "type": "string" } }, "timeRange": { "title": "Time Range", "enum": [ "today", "week", "month", "all" ], "type": "string", "description": "Filter articles by time", "default": "week" }, "maxArticlesPerFeed": { "title": "Max Articles Per Feed", "type": "integer", "description": "Maximum articles to fetch from each feed", "default": 10 }, "totalMaxArticles": { "title": "Total Max Articles", "type": "integer", "description": "Maximum total articles in output", "default": 500 }, "includeImageIfAvailable": { "title": "Include Image If Available", "type": "boolean", "description": "Extract featured image URL from articles when available", "default": true }, "includeSummary": { "title": "Include Summary", "type": "boolean", "description": "Include article description/summary", "default": true }, "sortBy": { "title": "Sort By", "enum": [ "date", "source" ], "type": "string", "description": "Sort articles by", "default": "date" } } }, "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 AI News API & Aggregator 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: