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Measured, reproducible, and honest about what went wrong.

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Notes from building MarqPDF. Benchmarks come with their corpus and runner so every number can be regenerated; postmortems name the actual bug.

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Do it from code or an AI agent

The same tool is in the MarqPDF API as POST /v1/compress, and in MarqPDF's MCP server as compress_pdf for Claude, Cursor and other AI agents.

curl https://marqpdf.com/v1/compress \
  -H "Authorization: Bearer $MARQPDF_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"file": "file_…", "target_mb": 1}'

API reference · Use it from an AI agent (MCP) · JavaScript and Python SDKs · Chain it with other steps

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