# AgentMint > Runtime enforcement and cryptographic notarization for AI agent tool calls. ## What it does - Intercepts every AI agent tool call before execution - Enforces scoped permissions, rate limits, injection scanning, human checkpoints - Produces Ed25519-signed, SHA-256 hash-chained receipts - Receipts verifiable with openssl alone — no vendor, no account, no network ## Technical details - Python library: `pip install agentmint` - 184 tests, 2 dependencies, MIT licensed, works offline - Supports MCP (Model Context Protocol), CrewAI, raw API calls - PII scanning: SSN, email, phone, credit card (23 patterns) - Compliance: SOC 2 CC6/CC7/CC8, HIPAA §164.312, EU AI Act Art 12, NIST AI RMF ## Six Enforcement Layers 1. **Scan** — prompt injection detection, PII scanning, credential detection (23 regex patterns) 2. **Scope** — per-agent permissions with glob-pattern matching, delegation inheritance 3. **Rate limit** — circuit breaker for runaway agents 4. **Checkpoint** — human approval gate for sensitive action categories 5. **Sign** — Ed25519 signature + SHA-256 hash chain on every receipt 6. **Prove** — verify with `openssl` only, VERIFY.sh script included ## Receipt Fields - id, plan_id, agent, action, in_policy, policy_reason - signature (Ed25519), previous_receipt_hash (SHA-256 chain) - evidence_hash (SHA-512), output_hash, reasoning_hash - key_id, original_approver, policy_hash - session_id, session_trajectory - timestamp_rfc3161 (RFC 3161 third-party timestamp authority) ## Compliance Mappings - SOC 2: CC6.1, CC7.2, CC8.1, PI1.1 - HIPAA: §164.312(a)(1), §164.312(b), §164.312(c)(1), §164.312(d), §164.312(e)(1) - EU AI Act: Article 12.1–12.4 - NIST AI RMF: MAP 1.1, MEASURE 2.3, MANAGE 3.1, GOVERN 1.1 ## Links - Website: https://agentmint.run - GitHub: https://github.com/aniketh-maddipati/agentmint-python - One-pager: https://agentmint.run/onepager - Compliance mapping: https://github.com/aniketh-maddipati/agentmint-python/blob/main/COMPLIANCE.md ## Author Aniketh Maddipati — Ex-Capital One. Led API security controls + built the 1st risk inference layer to protect 100+ million customers from identity theft. Now building Agent trust. NYC.