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DocImprint is MCP-native verifiable document memory for AI agents. One POST /v1/extract turns PDFs and URLs into tamper-evident evidence bundles — SHA-256 manifests, Merkle citations, free offline verify. Pay per call with x402 USDC on Base, or use API keys. Built for legal, finance, and compliance agents that must prove what they read — beyond logs.The verifiable document layer for AI agents — tamper-evident evidence bundles, cryptographic proofs, MCP-native, and x402 USDC pay-per-call on Base.
Hey Product Hunt — I’m Aly, founder of DocImprint.
We kept hitting the same problem: AI agents read contracts, filings, and invoices, then act — and the “audit trail” is a chat log. No way to prove which document version they saw, or that the extraction wasn’t tampered with later.
DocImprint is verifiable document memory for agents. One call to extract returns a tamper-evident evidence bundle: SHA-256 manifest, Merkle citation proofs, and a signature you can verify offline — without trusting our servers. Every agent action can also bind to a signed action receipt (list/verify via REST or MCP) so you can prove what ran against which bundle. It’s MCP-native (tools like extract, check_claims, verify_bundle, verify_action_receipt) and agents can pay per call via x402 USDC on Base, or use normal API keys.
What we’re not: a general web scraper. We’re the high-trust layer for documents where provenance matters.
I’d love feedback from agent builders especially:
• How are you handling document provenance today?
• Would you wire this via MCP, REST, or both?
• What’s the smallest proof you’d need to ship in production?
Try free → https://docimprint.com/try
MCP → https://docimprint.com/mcp
Docs → https://docimprint.com/docs
AMA — happy to dig into proofs, x402, or MCP setup.
The cryptographic proof angle is genuinely clever for compliance use cases. One thing that would help me as a user: add a lightweight web UI or CLI tool that lets you paste a citation hash and instantly see the original source and timestamp without needing to write code. Right now the verification flow assumes API access, which is friction for non-engineers who still need to audit the bundles.
posted a PDF and the merkle bundle came back in under a second, the offline verify actually worked from a cold machine which i did not expect.
Tried extracting a PDF and the Merkle citations came back instantly, super clean. Love that I can verify offline without hitting the API again.
Love the Merkle citation angle, super relevant for our compliance work. One idea: add a simple SDK wrapper for Python and TypeScript so agents can call /v1/extract without hand-rolling the HTTP client and signature headers. Right now wiring it into our internal stack took longer than it should have, and a thin official SDK would make adoption way smoother.
About DocImprint on Product Hunt
“MCP-native document proofs agents can verify”
DocImprint was submitted on Product Hunt and earned 11 upvotes and 9 comments, placing #73 on the daily leaderboard. DocImprint is MCP-native verifiable document memory for AI agents. One POST /v1/extract turns PDFs and URLs into tamper-evident evidence bundles — SHA-256 manifests, Merkle citations, free offline verify. Pay per call with x402 USDC on Base, or use API keys. Built for legal, finance, and compliance agents that must prove what they read — beyond logs.The verifiable document layer for AI agents — tamper-evident evidence bundles, cryptographic proofs, MCP-native, and x402 USDC pay-per-call on Base.
DocImprint was featured in API (98.4k followers), Developer Tools (516.2k followers) and Artificial Intelligence (474.1k followers) on Product Hunt. Together, these topics include over 195.9k products, making this a competitive space to launch in.
Who hunted DocImprint?
DocImprint was hunted by Aly S.. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Aly S.