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    <title>PyPI recent updates for strikeone</title>
    <link>https://pypi.org/project/strikeone/</link>
    <description>Recent updates to the Python Package Index for strikeone</description>
    <language>en</language>    <item>
      <title>1.9.5</title>
      <link>https://pypi.org/project/strikeone/1.9.5/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Sat, 05 Sep 2026 01:57:43 GMT</pubDate>
    </item>    <item>
      <title>1.9.4</title>
      <link>https://pypi.org/project/strikeone/1.9.4/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Sat, 05 Sep 2026 01:38:16 GMT</pubDate>
    </item>    <item>
      <title>1.9.2</title>
      <link>https://pypi.org/project/strikeone/1.9.2/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Sat, 05 Sep 2026 01:24:27 GMT</pubDate>
    </item>    <item>
      <title>1.9.0</title>
      <link>https://pypi.org/project/strikeone/1.9.0/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Fri, 04 Sep 2026 20:37:22 GMT</pubDate>
    </item>    <item>
      <title>1.8.1</title>
      <link>https://pypi.org/project/strikeone/1.8.1/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Fri, 04 Sep 2026 20:12:24 GMT</pubDate>
    </item>    <item>
      <title>1.7.1</title>
      <link>https://pypi.org/project/strikeone/1.7.1/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Fri, 04 Sep 2026 18:29:42 GMT</pubDate>
    </item>    <item>
      <title>1.7.0</title>
      <link>https://pypi.org/project/strikeone/1.7.0/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Fri, 04 Sep 2026 18:11:47 GMT</pubDate>
    </item>    <item>
      <title>1.6.1</title>
      <link>https://pypi.org/project/strikeone/1.6.1/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Fri, 04 Sep 2026 17:14:56 GMT</pubDate>
    </item>    <item>
      <title>1.6.0</title>
      <link>https://pypi.org/project/strikeone/1.6.0/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Fri, 04 Sep 2026 16:10:30 GMT</pubDate>
    </item>    <item>
      <title>1.5.0</title>
      <link>https://pypi.org/project/strikeone/1.5.0/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Thu, 03 Sep 2026 08:29:07 GMT</pubDate>
    </item>    <item>
      <title>1.4.0</title>
      <link>https://pypi.org/project/strikeone/1.4.0/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Thu, 03 Sep 2026 06:34:35 GMT</pubDate>
    </item>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/strikeone/1.3.0/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Thu, 03 Sep 2026 06:11:13 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/strikeone/1.2.0/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Thu, 03 Sep 2026 05:35:35 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/strikeone/1.1.1/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Thu, 03 Sep 2026 04:26:01 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/strikeone/1.1.0/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Thu, 03 Sep 2026 03:49:14 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/strikeone/1.0.4/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Mon, 31 Aug 2026 09:40:03 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/strikeone/1.0.3/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Mon, 31 Aug 2026 09:28:57 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/strikeone/1.0.2/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Mon, 31 Aug 2026 09:16:10 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/strikeone/1.0.1/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Sun, 30 Aug 2026 01:56:38 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/strikeone/1.0.0/</link>
      <description>Bring-your-own-scorer fraud evaluation: cases caught at the first labelled transaction vs your headline metric, blocklist routing, cost-derived actions, and a citation-validated AI narration layer. Offline; your data never leaves the machine.</description>
<author>shivaanroy614@gmail.com</author>      <pubDate>Sun, 30 Aug 2026 01:11:51 GMT</pubDate>
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