{"id":1286583,"recorded_at":"2026-10-30T19:15:36.909383Z","observed_at":"2026-10-30T19:15:36.909328Z","subject_kind":"source_record","subject":"mcp_registry:io.github.Benji18sport/agent-trust-firewall","kind":"listing","method":"sync.mcp_registry/1","body":{"endpoints":[["mcp","https://agent-trust-firewall.andrea-vignoni.workers.dev/mcp"]],"name":"Agent Trust Firewall","owner_address":null,"raw":{"_meta":{"io.modelcontextprotocol.registry/official":{"isLatest":true,"publishedAt":"2026-10-30T18:58:59.764342Z","status":"active","statusChangedAt":"2026-10-30T18:58:59.764342Z","updatedAt":"2026-10-30T18:58:59.764342Z"}},"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","description":"Free pre-action policy checks and data cleaning for autonomous AI agents.","name":"io.github.Benji18sport/agent-trust-firewall","remotes":[{"type":"streamable-http","url":"https://agent-trust-firewall.andrea-vignoni.workers.dev/mcp"}],"repository":{"source":"github","url":"https://github.com/Benji18sport/agent-commerce-os"},"title":"Agent Trust Firewall","version":"1.5.0"}},"source":"mcp_registry","summary":"Free pre-action policy checks and data cleaning for autonomous AI agents."},"body_sha256":"43be85e6162cca9ef854513519d412c521b99f47a6347e636d0bb3c7cad9ee6f","prev_id":null,"leaf":"0x0d76f8948c615d95537530f18b3c7ebb61bc51c50bc9cec39d3a35416a22ba81","leaf_text":"{\"body\":\"43be85e6162cca9ef854513519d412c521b99f47a6347e636d0bb3c7cad9ee6f\",\"id\":1286583,\"kind\":\"listing\",\"method\":\"sync.mcp_registry/1\",\"observed_us\":1793387736909328,\"prev\":null,\"subject\":\"mcp_registry:io.github.Benji18sport/agent-trust-firewall\",\"subject_kind\":\"source_record\"}","day":{"day":"2026-10-30","leaves":243099,"root":"0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875","chained":"0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822","anchor_chain":"eip155:5042002","anchor_tx":"0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861","anchor_block":69923247},"proof":["0x0d77068268c9c81118fcaebad479992777110bd548cd745d5893432b3000796b","0xf488e76bfde96f9246b70dddff6d6e4ffe774f9b7f9a108a556adc5e8974ec8a","0x39c889fd5b48aeb638c9475915bc062baf7dd5f53b7495b14f319ec38d0062f9","0x3b6d2926244b8a6f9b7671b20bef30ed75d8bb681b2011da7c926c9aa84db59b","0x61300557d11381e8522f60f3f1c4d2cd3b3db2155327e897982a373d523c7759","0xd88b1a1e3a10d566d7929d4d789f264fced5500fedbe3ffc7e4ceda1100309d0","0xdb5346d8c7872d6bc95d7b4a14c80e7385a1b96866d74a04b26bd970e3af0728","0x0aabe47ed9bad9f9716535398cea75b41815ccc2a7d48f51dafb0c12927357ec","0xb0486fdf8e51cc65f872e40c1ae319278e20ab476fdb3a531f1c73d2434868fa","0x4530166816e69ce236811ddf41be359f7e18542421d0f2bb7f8351efeca1e4a9","0x29c08d2a204d863817129ffdfcf2ede5801880b2fcb1f576b57ef9bc30e74283","0x76b747b413005e35892132851239d7e377c57980aeac62b425683a8406e94c45","0x02b6f5aae7adfec888ccff919c6542cbe38945db1e9f845ec025a65f73f99ee2","0xdf5b016e08f93664d06694a7722324dcb27caedd549f286f07d4b4798e0c706e","0x2b7a05865245feaf40ea40b73e02d86357af2dcbac9c7b992f1420f5eaa15246","0xe2a9872e1b6a01c55a7a8cc5c05c61f3933255db5c26b9c79be4011d28685b52","0xb0c9ef42e725578748f3119c9dbebf2fc437266bda013df29f98ed3ebe621403","0x30a81d8fcef4e8f9e2877c62796cfc5612fc1b251127d531dee28f8dbd5c5147"]}