{"id":2046273,"recorded_at":"2026-11-02T03:28:13.196816Z","observed_at":"2026-11-02T03:28:13.196622Z","subject_kind":"endpoint","subject":"93b34229-546b-4728-b33c-91c67381e1ee","kind":"mcp.tools","method":"probe.mcp/1","body":{"count":9,"tools":[{"description":"按你指定的卡型集合与天数，一次性导出多张卡的每日价格序列（json 或 csv），含最低价、市场中位价、最低价所属平台、库存状态、当日报价家数。示例: bulk_export_series(gpus='H100 80GB,RTX 4090', days=7, fmt='csv')。原始数据也可免费从 https://rentgpu.link/data/history.csv 自行下载（CC BY 4.0）；此处计费的是按你指定维度筛好、排好、格式化好的结果。按次计费 $0.02 USDC。","inputSchema":{"properties":{"days":{"default":30,"title":"Days","type":"integer"},"fmt":{"default":"json","title":"Fmt","type":"string"},"gpus":{"title":"Gpus","type":"string"}},"required":["gpus"],"title":"bulk_export_seriesArguments","type":"object"},"name":"bulk_export_series"},{"description":"从逐日原始快照里按条件筛报价：指定若干日期 + 卡型/平台，返回命中的原始报价（含计费说明口径、来源、抓取时间），按价格升序。示例: bulk_snapshot_query(dates='latest', gpu='昇腾910B2 64GB')。快照原文免费：https://rentgpu.link/data/snapshots/<日期>.json ；此处计费的是跨多天筛选与聚合。按次计费 $0.02 USDC。","inputSchema":{"properties":{"dates":{"default":"latest","title":"Dates","type":"string"},"gpu":{"default":"","title":"Gpu","type":"string"},"limit":{"default":200,"title":"Limit","type":"integer"},"platform":{"default":"","title":"Platform","type":"string"}},"title":"bulk_snapshot_queryArguments","type":"object"},"name":"bulk_snapshot_query"},{"description":"查某张 GPU 过去 30 天每日价格序列：每日全平台最低价、当日市场中位价、最低价来自哪个平台、库存状态、当日报价家数。示例: gpu_history(gpu='H100 80GB', limit=7) → 2026-10-20 最低 8.28 元（paperspace）、中位 23.04、有货、9 家报价。按次计费 $0.02 USDC。","inputSchema":{"properties":{"gpu":{"title":"Gpu","type":"string"},"limit":{"default":30,"title":"Limit","type":"integer"}},"required":["gpu"],"title":"gpu_historyArguments","type":"object"},"name":"gpu_history"},{"description":"查某张 GPU 现在的全平台最低价（元/小时），含报价平台、30 天最低/最高/均价、当前价与 30 天最低价的差距。示例: gpu_price(gpu='RTX 4090') → 当前最低 1.24 元/小时（算家云）、市场中位 1.99、30 天最低 1.24、今日 8 家报价。按次计费 $0.002 USDC。","inputSchema":{"properties":{"gpu":{"title":"Gpu","type":"string"}},"required":["gpu"],"title":"gpu_priceArguments","type":"object"},"name":"gpu_price"},{"description":"列出所有可查询的 GPU 卡型（免费）。付费查询前先调这个拿准确名称。","inputSchema":{"properties":{},"title":"list_gpu_modelsArguments","type":"object"},"name":"list_gpu_models"},{"description":"近 30 天 GPU 行情涨跌榜：按区间涨跌幅排序的降价/涨价卡型，含当前价与 30 天最低价。示例: market_movers(top=3) → 降价榜 A6000 48GB 2.52 元(-28.6%)、A100 80GB 5.47 元(-21.6%)、RTX 3090 0.80 元(-19.2%)。按次计费 $0.005 USDC。","inputSchema":{"properties":{"top":{"default":5,"title":"Top","type":"integer"}},"title":"market_moversArguments","type":"object"},"name":"market_movers"},{"description":"健康检查，免费。返回服务状态、收款地址、网络与价目表。","inputSchema":{"properties":{},"title":"pingArguments","type":"object"},"name":"ping"},{"description":"各 GPU 租用平台的数据监测覆盖度评分（A~E）：自动抓取成功率、收录天数、库存充足率、覆盖卡型数。注意：衡量的是本数据源对该平台的价格监测覆盖度，不代表平台自身的服务质量。示例: platform_reliability() → 31 家平台评分，如 gpushare 100 分 A 级（抓取成功率 100%、覆盖 6 张卡、30/30 天）。按次计费 $0.005 USDC。","inputSchema":{"properties":{},"title":"platform_reliabilityArguments","type":"object"},"name":"platform_reliability"},{"description":"按任务推荐最便宜的 GPU 租用方案：输入任务（如'微调 7B'/'视频生成'，或英文 finetune-7b/video-gen），返回推荐卡型、最便宜平台、每小时单价与估算任务总成本。覆盖 8 类任务：微调、推理、绘图、视频、渲染、学生练手、70B 训练、多卡集群。示例: recommend_for_task(task='微调 7B') → 最便宜卡 + 平台 + 单价 × 8 小时的总成本。这是别处没有的'按任务问价'能力。按次计费 $0.01 USDC。","inputSchema":{"properties":{"task":{"title":"Task","type":"string"}},"required":["task"],"title":"recommend_for_taskArguments","type":"object"},"name":"recommend_for_task"}]},"body_sha256":"7c2af404806463a8373c55b05eff953fae04a607df1fac999c2d4648f3ffc750","prev_id":1478920,"leaf":"0xab1ee7c0fbacfd1fcb3ca00fe8ed937c4eed2cc4e2820605af43d1affb98da76","leaf_text":"{\"body\":\"7c2af404806463a8373c55b05eff953fae04a607df1fac999c2d4648f3ffc750\",\"id\":2046273,\"kind\":\"mcp.tools\",\"method\":\"probe.mcp/1\",\"observed_us\":1793590093196622,\"prev\":1478920,\"subject\":\"93b34229-546b-4728-b33c-91c67381e1ee\",\"subject_kind\":\"endpoint\"}","day":{"day":"2026-11-02","leaves":444186,"root":"0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1","chained":"0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2","anchor_chain":"eip155:5042002","anchor_tx":"0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af","anchor_block":70432815},"proof":["0xab1ee62f97a327f8ce357472616614e88ecb0cb18dfeea1a3d2c3b0f5c82c779","0xf05a9f865fbf59da406440d0ffe43cc4ac8ac9078ffa78a4b65831851af71968","0xbf4ada5fd6dbdcae8a260e7dad47d4552cf2c48b9a90ef08925aa2ecd981cd6c","0x85860239a34ffd9f1858d992c9a52403097e6feb54fb88da08b57a177560ae1a","0x22df4033c7d9d0b6ea5a5ba451d28046ba6210b45fe01ac6862f51a02617668e","0x308819232e31ab77b1eb51a9c369e4fed819e04a2140d08bc7a4f858929610f9","0xe0b39afe6479739a5f28f14adf7b39e80bd26be127d883c2fa731743af94a68d","0x91569e77c33a992fe2d6ada35829627abe3c25cdd59e2ebdd834a87cc19e7233","0xb364710497963214ed2a94549de0c30470185f87e3250c04401ed179735371e2","0x60a8d998083c9d6041cd341cd12c5450b3321969fe5f78c69ea13597731dcfe4","0x0b0599cdafc51aeb51303712d6352904fa882f3025c5a86e9ca3f2735585c32f","0x8cc79a806621c6c78dfbbdd21d793ebf9fe2942c16ff8fcfabfae8b921d58fb4","0x0a8f32fa56d4ddb69ff176883beda0b0217f66ec9bd09c11cec95d7ba5f6c70a","0x27deeb1ef1692b4773e73c16b6d8d0cdf4251fe2660821e5336f57539770fd2f","0x793184605629cd36ba80a07cbe115ca35e8923297bf024260c6f5c06b255f638","0x2922573a524a0694086782ac45fa3083d3fc3f6a2a479b2105e1e2f06b2916f7","0x07ad80c0c234ecea379a2f4450dfd0804db049dbc62abe77af6306049ca6b6c2","0x98cbbf2c68ab4c0b4db782aeb88bea1f30b02178cf8b5d3d24a931d19492ea6d","0x252cce55f1a3d5391c16f82d7f62494429a5f69b03486d4cfcfb7b2c96d6c884"]}