AUTH:VERIFIED · TXN-9F2A · 0xC4E9…3B1F · REPLAY:OK · CHAIN-7D4C · POLICY:ENFORCED · PROOF:VALID · SIG:ED25519 · BLOCK:4,821,004 · AUDIT:IMMUTABLE · TRACE-2E8B · TS:2026-05-25T09:14:32Z · GATE:PASS · RISK:0.02 · AGENT:MERIDIAN-01 · LINEAGE:COMPLETE · REF:BL-00441 · STATE:FINALIZED · HASH:SHA3-256 · VERIFY:0xA7F2…88CC · CONSENSUS:OKAUTH:VERIFIED · TXN-9F2A · 0xC4E9…3B1F · REPLAY:OK · CHAIN-7D4C · POLICY:ENFORCED · PROOF:VALID · SIG:ED25519 · BLOCK:4,821,004 · AUDIT:IMMUTABLE · TRACE-2E8B · TS:2026-05-25T09:14:32Z · GATE:PASS · RISK:0.02 · AGENT:MERIDIAN-01 · LINEAGE:COMPLETE · REF:BL-00441 · STATE:FINALIZED · HASH:SHA3-256 · VERIFY:0xA7F2…88CC · CONSENSUS:OK

Documentation

Blocklog Docs

Tamper-evident audit logging and AI forensic infrastructure. Start with the quickstart, then move into concepts, SDK usage, and API workflows.

Start Here

Quickstart — 5 Minutes to First Log

Set up credentials, install the SDK, and anchor your first audit event.

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Getting Started

Quickstart

5 Minutes to First Log

Install the SDK, configure credentials, and send your first cryptographically anchored audit log.

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Core Concepts

Decisions, Cryptography & Accountability

Understand the cryptographic foundations of tamper-evident logging and why Blocklog exists.

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References

Python SDK

Python SDK Reference

Method signatures, parameter schemas, return types, and runnable examples for the Python client.

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REST API

REST API Reference

Ingest logs, verify integrity, manage incidents, and trigger human review via HTTPS.

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Examples

End-to-End Example

AI Agent Incident Reconstruction

Walkthrough of a multi-agent workflow where a risk limit violation triggers forensic replay.

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