Docker Hub Intelligence & Container Registry Matrix — Prime Sieve

Scrape Docker Hub search results, repositories, tags, OS architectures (amd64/arm64), pull metrics, star counts, and layer sizes without API keys or browser overhead.

Built by Prime Sieve. Powered by direct, zero-proxy API queries against the public Docker Hub registry endpoints. Ideal for DevOps engineers, platform teams, AI infra architects, and security researchers looking to audit base images, track deployment trends, and monitor container adoption.

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🚀 What This Actor Does

1. Keyword Search & Discovery: Search through millions of public Docker Hub containers (e.g. vllm, ollama, postgres, ai-agent, qdrant).
2. Direct Repository Auditing: Provide an explicit list of repository names (ollama/ollama, vllm/vllm-openai, library/python) to extract deep metadata in bulk.
3. Multi-Arch & Tag Breakdown: Extract recent image tags with detailed OS / CPU architectures (linux/amd64, linux/arm64), compressed layer sizes (in MB), digests, and push timestamps.
4. Metrics & Popularity Signals: Capture real-time lifetime pull counts, star counts, official badge status, and registration dates.
5. Zero Proxy Overhead: Fast, lightweight, and completely fetch-clean with zero browser memory bloat.

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💰 Pricing & Economics

• Pay-Per-Result (PPE): $1.00 per 1,000 repository results ($0.001 per result).
• No expensive proxy charges, no browser overhead fees.

Price & Feature Comparison

Feature	Prime Sieve (This Actor)	Generic Docker Scrapers
Pricing	$1.00 / 1k results	$3.00+ / 1k results or Flat
Zero Proxy Overhead	✅ 100% Native API	❌ Slow Headless Browsers
Architecture Extraction (arm64/amd64)	✅ Built-in	❌ Missing
Tag Image Sizes (MB)	✅ Calculated per tag	❌ Missing
Direct Repo List Mode	✅ Supported	❌ Search Only
Dataset Table Views	✅ Clean Overview Table	❌ Raw Dump

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📥 Input Parameters

Parameter	Type	Default	Description
search	String	"vllm"	Search keyword for finding Docker images (e.g., ollama, langchain, redis).
repositories	Array	[]	Explicit list of repos (e.g. ["ollama/ollama", "vllm/vllm-openai", "python"]). Overrides search.
maxResults	Number	20	Maximum number of repositories to process (1 - 500).
includeTags	Boolean	true	Fetch recent image tags, OS/architectures, digests, and compressed sizes.
maxTagsPerRepo	Number	10	Number of recent tags to extract per repository (1 - 100).
includeFullReadme	Boolean	false	Include the full README / setup instructions in markdown.

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📤 Sample Output

{
  "repoName": "ollama/ollama",
  "namespace": "ollama",
  "name": "ollama",
  "description": "The easiest way to get up and running with large language models.",
  "starCount": 1613,
  "pullCount": 176266101,
  "isOfficial": false,
  "isAutomated": false,
  "isPrivate": false,
  "repositoryType": "image",
  "lastUpdated": "2026-09-17T23:04:44.564114Z",
  "dateRegistered": "2023-06-29T23:27:34.326426Z",
  "supportedArchitectures": [
    "amd64",
    "arm64"
  ],
  "totalTagsAvailable": 10,
  "tags": [
    {
      "tag": "latest",
      "lastUpdated": "2026-09-17T23:04:42.129381Z",
      "fullSizeMB": 3538.5,
      "architectures": [
        "amd64",
        "arm64"
      ],
      "images": [
        {
          "architecture": "amd64",
          "os": "linux",
          "sizeBytes": 3710334567,
          "sizeMB": 3538.5,
          "digest": "sha256:c715bebf769913db6c82d96f8a8dfee989c4bdfe19fa7d700e3d41ee0ceb5461",
          "lastPushed": "2026-09-17T21:40:51.077443938Z"
        }
      ]
    }
  ],
  "url": "https://hub.docker.com/r/ollama/ollama",
  "scrapedAt": "2026-09-18T10:15:00.000Z"
}

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🛠️ Use Cases

• AI Infrastructure & Model Serving Tracking: Track container adoption for LLM inference engines like vLLM, Ollama, TGI, and LocalAI.
• Supply Chain & Multi-Arch Verification: Ensure your containerized dependencies publish native linux/arm64 images for Apple Silicon / AWS Graviton instances.
• Image Bloat & Storage Optimization: Monitor image tag sizes over time to detect unexpected layer bloat in CI/CD pipelines.
• Market Intelligence & Tech Stack Trends: Track developer adoption across open-source databases, message brokers, and AI agent frameworks.

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