{"id":29955,"recorded_at":"2026-10-26T14:36:01.894297Z","observed_at":"2026-10-26T14:36:01.894249Z","subject_kind":"source_record","subject":"mcp_registry:io.github.Nero-Engine/dataset-filter-transform","kind":"listing","method":"baseline/1","body":{"endpoints":[["mcp","https://dataset-filter-transform.nerolabs.workers.dev/mcp"],["web","https://github.com/Nero-Engine/dataset-filter-transform-mcp"]],"name":"Dataset Filter & Transform","owner_address":null,"raw":{"_meta":{"io.modelcontextprotocol.registry/official":{"isLatest":true,"publishedAt":"2026-09-12T22:31:17.439218Z","status":"active","statusChangedAt":"2026-09-12T22:31:17.439218Z","updatedAt":"2026-09-12T22:31:17.439218Z"}},"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","description":"Clean, filter and reshape JSON rows in one call: 26 transforms, 25 filters, sort, dedupe, limit.","name":"io.github.Nero-Engine/dataset-filter-transform","remotes":[{"type":"streamable-http","url":"https://dataset-filter-transform.nerolabs.workers.dev/mcp"}],"repository":{"source":"github","url":"https://github.com/Nero-Engine/dataset-filter-transform-mcp"},"title":"Dataset Filter & Transform","version":"0.1.0","websiteUrl":"https://github.com/Nero-Engine/dataset-filter-transform-mcp"}},"source":"mcp_registry","summary":"Clean, filter and reshape JSON rows in one call: 26 transforms, 25 filters, sort, dedupe, limit."},"body_sha256":"983c0ccc2212ece2ca5e7323c3c3d9d30e775e307d66fadf7e23638df44f9c4b","prev_id":null,"leaf":"0xb49861d4f2e8b70aad0a6b147f46eb021a7d0df498548aad6b5f1cb5ce66047b","leaf_text":"{\"body\":\"983c0ccc2212ece2ca5e7323c3c3d9d30e775e307d66fadf7e23638df44f9c4b\",\"id\":29955,\"kind\":\"listing\",\"method\":\"baseline/1\",\"observed_us\":1793025361894249,\"prev\":null,\"subject\":\"mcp_registry:io.github.Nero-Engine/dataset-filter-transform\",\"subject_kind\":\"source_record\"}","day":{"day":"2026-10-26","leaves":296695,"root":"0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8","chained":"0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a","anchor_chain":"eip155:5042002","anchor_tx":"0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae","anchor_block":69251483},"proof":["0xb498a7e90916202e5d7cf4ac6e66824d4e386faff2c2ec66602b2a0f81f765bc","0xf9da190283fc961d49710b43e4afc23b6367cbe1112d79163e19d6e36af42ec2","0x5863b079e85b4a6d8162c9f32542aaf0d1ac2a14335bcadf3dcd146dbc32196a","0x09f32171e3fb7737458747e713597eb1dd94d11ef4d788f5f7125849d5962590","0x7a1c7a0415b458e3da09f75c135329fe26513d05b8276e6231683b1f753d675c","0x2b77735e7d023d956bc02a1cb56837ca1fc14e2a6cb9da2fe0334cccb7a2116f","0x913b690799d0bcd2ad73c2ece543c8acbe4894abd0e24e6050dc25bbe7c9b759","0x9f3e70bc27a186d9e4e67cfcf7cd8784d3c7456229223cbc13bb873ee1986249","0xa2f9426da32fefacce0df7d444a095ceb9bb43bfbc7630458b5b59699873dbd5","0x3a9c6702af5bb205f746160745b1ff440cc33b1b113d3f6b7c1c96033f9df602","0x559555135675e39701c05a4d63d274b59d60cf1dc8421a68215c770867d00aff","0x7a0f1751de1946feff7d8c8afc737dcc4d35f110809c15aa0fdb8363a9e31b2b","0x0d86419ca1dd0b62fd8b22ea2e8c74d441312cec3116a467bea429b43e026565","0x083427e39db4dd470662401f6db5db8fadf084fc4274cf8621b368416952b78b","0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570","0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452","0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40","0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f","0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a"]}