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All 457 icon and screenshot urls across all 202 apps were presigned links to a single bucket, signed 2025-11-05 with X-Amz-Expires=86400. They have answered 403 ExpiredRequest since the day after, and a presigned url cannot be re-signed by whoever holds it, so the images are unrecoverable through the only address anyone had for them and no copy exists elsewhere. There is nothing to re-host. A url that cannot resolve is not artwork, it is an outbound request that always fails, so the fields are removed rather than repointed. AppIcon already renders the initial when icon is absent and the Screenshots panel already hides on an empty list, so the page looks the same and loses 202 failing requests and 245 KB of catalog per visit: store.json goes 494 KB to 249 KB. Artwork is served from this site's own origin as a root-relative path. data/ is the one source both generate-store.js and the hanzoai/cdn market build copy from verbatim, so the rule holds in one place.
38 lines
1.6 KiB
JSON
38 lines
1.6 KiB
JSON
{
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"id": "deep-research",
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"name": "Deep Research",
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"description": "This tool automates in-depth online research, and generates a comprehensive, multi-section report in a structured Markdown format, with sources.\n\nSimply provide a research topic.\nYou can be specific to narrow the focus or vague to encourage broader exploration.\n\nThe research depth is configurable, allowing you to control key parameters such as the number of sources to analyze per query, and the depth of its self-correction and reflection cycles.\n\nThe process includes:\n- creating a detailed research plan.\n- performing targeted web searches.\n- analyzing and synthesizing information from the best sources.\n- reflecting on the initial draft to identify and fill knowledge gaps.\n\nThe final output is a polished document complete with a title, abstract, table of contents, conclusion, and a full list of cited references, saved as a Markdown file.\n\nThe tool leverages parallel processing to efficiently gather and analaze information.",
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"version": "1.0.0",
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"author": "hanzo.ai",
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"homepage": "local:::__hanzo:::deep_research",
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"license": "MIT",
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"category": "Reference",
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"tags": [
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"deep research",
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"research",
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"report",
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"search",
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"biblio"
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],
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"installCommand": "",
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"mcpConfig": {
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"command": "any",
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"args": [
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"local:::__hanzo:::deep_research"
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],
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"env": {}
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},
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"downloads": 12,
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"createdAt": "2025-09-03T22:32:30.588Z",
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"updatedAt": "2025-09-03T22:32:30.588Z",
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"type": "Tool",
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"toolLanguage": "Python",
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"operatingSystem": [
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"linux",
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"macos",
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"windows"
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],
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"runner": "any",
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"featured": true,
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"price": 0
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} |