{"id":18851,"recorded_at":"2026-10-26T14:35:30.920363Z","observed_at":"2026-10-26T14:35:30.920325Z","subject_kind":"source_record","subject":"mcp_registry:com.paperswithbacktest/papers-with-backtest","kind":"listing","method":"baseline/1","body":{"endpoints":[["mcp","https://paperswithbacktest.com/api/mcp"],["web","https://paperswithbacktest.com/ai-researcher"]],"name":"Papers With Backtest","owner_address":null,"raw":{"_meta":{"io.modelcontextprotocol.registry/official":{"isLatest":true,"publishedAt":"2026-08-27T13:10:09.553409Z","status":"active","statusChangedAt":"2026-08-27T13:10:09.553409Z","updatedAt":"2026-08-27T13:10:09.553409Z"}},"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","description":"Search 5,000+ trading papers with verified backtests, strategies, datasets, and courses.","name":"com.paperswithbacktest/papers-with-backtest","remotes":[{"type":"streamable-http","url":"https://paperswithbacktest.com/api/mcp"}],"repository":{"source":"github","url":"https://github.com/paperswithbacktest/website"},"title":"Papers With Backtest","version":"1.1.0","websiteUrl":"https://paperswithbacktest.com/ai-researcher"}},"source":"mcp_registry","summary":"Search 5,000+ trading papers with verified backtests, strategies, datasets, and courses."},"body_sha256":"7753af1ef312f274ffefbb0d8d35934eb19adddee99b803da707363f2aaabdda","prev_id":null,"leaf":"0x29b9f4e7edce8df7b1283800fb67a84edae4b21d272a5c95632e29ff204a780b","leaf_text":"{\"body\":\"7753af1ef312f274ffefbb0d8d35934eb19adddee99b803da707363f2aaabdda\",\"id\":18851,\"kind\":\"listing\",\"method\":\"baseline/1\",\"observed_us\":1793025330920325,\"prev\":null,\"subject\":\"mcp_registry:com.paperswithbacktest/papers-with-backtest\",\"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":["0x29ba1bf7ea3bada780bf3110e907049ede6a48d01e299bb557b8b3977534d1b8","0x037d2e8c38642dadcf2f7ddc167bdb99a6407c189555f40e4219b35a6f85c081","0xc1916d31bd26d7307766d30fa66ecf1ab7d76d74a433abd8b4f66f247af5522a","0xd2479011f31b1d35417a81880c1c2200f3993a515dac1f48cecd2a3af58624b7","0xafac7de3a882c6aba294ec7bbd36342c2c7bde2fcfc5bf5255358059a6791a06","0x8922beeeb90ded64f6d8f6d68945537c7a72c4ce0b8cd01eb93bf0fc6ab4e91d","0x60cb6ceb0cdb2d232c59ab296e944d2dd9ee46d976d6fd90946adac8be335b63","0x964165154011f95b81d35f8cebbb20f3dae190b6279a9cc67ecf080fa232e663","0x12fa01fa6c7f3095ad3b2e628b219218cfeb5bf07fb28815e6fc90c316c2ddd2","0x079e56fd7ce09a98c00f4680a76c581bded42a26156180f38eee79f5a6f72d59","0x525ed12bc40d74342377fb46a14f281838d153c85147520116f4d7fa219aff5e","0xeab0020f03650c1a79ed79927ae9d808c59a41295a86d1285582516590c954e6","0x16a8fb19a5e4f4535e7cb3fce5c15ecfa188586bb74e347ee71164f8af27dfe1","0xd843afcced75dedd39194ff9bd12326b88099e6112686db2299392d022dc3146","0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f","0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca","0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13","0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d","0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a"]}