← The evidence ledger
Evidence row 569764
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 2c029801-f492-4941-b239-131f8ef40ba7
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 9d40f5c7fe03675699ff0ec6da240478261ae68c74a4b8f38cc483b0091a66e2
- Leaf
- 0x91b53287b3e7b3eb0ed560b416ac4e4faf4f42f77aefee51ff94128c3a1706db
What was observed
{
"count": 31,
"tools": [
{
"description": "视频复刻 — 分析",
"inputSchema": {
"description": "视频复刻 — 分析源视频并生成 prompt。",
"properties": {
"clip_end": {
"description": "圈选结束时间（秒）；须 clip_end > clip_start，且 clip_end - clip_start ≤ 12（片段最长 12 秒）",
"format": "int32",
"minimum": 0,
"type": "integer"
},
"clip_start": {
"description": "圈选起始时间（秒，非负）",
"format": "int32",
"minimum": 0,
"type": "integer"
},
"video_url": {
"description": "源视频 URL",
"type": "string"
}
},
"type": "object"
},
"name": "ad_clone_analyze"
},
{
"description": "视频复刻 — 生成",
"inputSchema": {
"description": "视频复刻 — 提交生成任务；响应含异步任务 ID（`workspace_id`）。",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"duration": {
"description": "生成时长（秒）；不在可选值内（含不传）按 12",
"enum": [
4,
8,
12,
16,
20
],
"format": "int32",
"type": "integer"
},
"prompt": {
"description": "prompt（可在 Analyze 返回基础上修改）",
"type": "string"
},
"ratio": {
"description": "视频比例，空 = `9:16`",
"type": "string"
},
"video_url": {
"description": "源视频片段 URL（Analyze 返回的 video_segment_url）",
"type": "string"
}
},
"type": "object"
},
"name": "ad_clone_generate"
},
{
"description": "系统演员列表",
"inputSchema": {
"description": "系统演员列表筛选与分页；筛选项为小写，英文短语中空格用连字符。",
"properties": {
"age": {
"items": {
"enum": [
"senior",
"adult",
"young-adult",
"kid"
],
"type": "string"
},
"type": "array"
},
"ethnicity": {
"items": {
"enum": [
"asian",
"caucasian",
"african",
"latino"
],
"type": "string"
},
"type": "array"
},
"gender": {
"items": {
"enum": [
"female",
"male"
],
"type": "string"
},
"type": "array"
},
"industry": {
"description": "按服务端行业分类过滤（如 `beauty` / `fitness` / `finance` 等）；取值集以服务端注册表为准。\n",
"items": {
"type": "string"
},
"type": "array"
},
"limit": {
"format": "int32",
"type": "integer"
},
"offset": {
"format": "int32",
"type": "integer"
},
"pose": {
"items": {
"enum": [
"arms-crossed",
"cross-legged",
"gesturing",
"leaning",
"leaning-forward",
"legs-crossed",
"pointing",
"reclining",
"sitting",
"standing"
],
"type": "string"
},
"type": "array"
},
"shot_type": {
"items": {
"enum": [
"close-up",
"full-shot",
"long-shot",
"medium-close-up",
"medium-full-shot",
"medium-shot"
],
"type": "string"
},
"type": "array"
},
"situation": {
"items": {
"enum": [
"balcony",
"beach",
"bedroom",
"car",
"coffee-shop",
"grwm",
"home",
"kitchen",
"medical",
"news-anchor",
"office",
"podcast",
"snow",
"studio"
],
"type": "string"
},
"type": "array"
},
"sort_by": {
"type": "string"
}
},
"type": "object"
},
"name": "ai_actor_list"
},
{
"description": "演员演出（系统演员或 Persona）\n\n`actor_id` 既可为系统演员 ID，也可为自定义 Persona 的 `actor_id`，共用同一套演出参数与异步任务响应。",
"inputSchema": {
"description": "演出任务请求；适用于系统演员与自定义 Persona。",
"properties": {
"actor_id": {
"description": "系统演员 ID，或 Persona 的 actor_id",
"type": "string"
},
"auto_emotion": {
"type": "boolean"
},
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"script": {
"type": "string"
},
"similarity": {
"format": "float",
"type": "number"
},
"speaker_boost": {
"type": "boolean"
},
"speed": {
"format": "float",
"type": "number"
},
"stability": {
"format": "float",
"type": "number"
},
"style": {
"format": "float",
"type": "number"
}
},
"type": "object"
},
"name": "ai_actor_perform"
},
{
"description": "系统演员语音生成",
"inputSchema": {
"description": "系统演员语音合成请求。",
"properties": {
"actor_id": {
"type": "string"
},
"auto_emotion": {
"type": "boolean"
},
"script": {
"type": "string"
},
"similarity": {
"format": "float",
"type": "number"
},
"speed": {
"format": "float",
"type": "number"
},
"stability": {
"format": "float",
"type": "number"
}
},
"type": "object"
},
"name": "ai_actor_say"
},
{
"description": "批量查询异步任务状态",
"inputSchema": {
"description": "批量按 `workspace_ids` 查询异步任务状态。",
"properties": {
"workspace_ids": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"name": "batch_get_work_status"
},
{
"description": "解析平台视频链接，换取可用的视频素材",
"inputSchema": {
"description": "用户给的是抖音、TikTok、YouTube、Instagram、小红书、视频号上的视频分享链接（或包含链接的整段分享文案）时，先调用本工具：它会抓取视频并转存到 AdsTurbo，返回可直接下载的 video_url，以及封面、时长、标题和作者。之后把 video_url 传给 ad_clone_analyze、video_analyze、video_translate、video_subtitle 等工具。不要自己请求平台网页去抓视频，也不要把平台分享链接直接传给其他工具。已经是 .mp4 等可直接下载的链接就不用调用。抓到的视频只用于拆解分析和借鉴创意结构，不要原样转发或发布他人的作品。不消耗积分，新抓取的视频会存进用户的素材库。",
"properties": {
"urls": {
"description": "视频分享链接，最多 5 个。可以直接传用户复制来的整段分享文案，会自动取出其中的链接。",
"items": {
"type": "string"
},
"maxItems": 5,
"minItems": 1,
"type": "array"
}
},
"required": [
"urls"
],
"type": "object"
},
"name": "fetch_video_from_link"
},
{
"description": "查询 Persona 状态",
"inputSchema": {
"description": "按 `actor_id` 查询 Persona 状态。",
"properties": {
"actor_id": {
"type": "string"
}
},
"type": "object"
},
"name": "get_persona_status"
},
{
"description": "查询异步任务状态",
"inputSchema": {
"description": "按 `workspace_id` 查询异步任务状态。",
"properties": {
"workspace_id": {
"type": "string"
}
},
"type": "object"
},
"name": "get_work_status"
},
{
"description": "图片生成 / 编辑\n\n每次调用固定生成 **1 张**。\n默认异步：返回 `workspace_id`（`status=pending`，`result_type=image`），用 `work/status` 轮询取 `result_url`；\n`sync_mod=true` 时同步阻塞到出图，响应里 `result_url` 直接为图片 URL（`status=completed`）。",
"inputSchema": {
"description": "图片生成或编辑。`model` 为模型短名称，省略时服务端默认 `nanobanana-pro`。\n文生图：`image_urls` 为空；图片编辑：`image_urls` 非空。每次固定生成 1 张。\n\n**模式支持**：\n- 仅文生图：`grok-2-image`\n- 仅编辑：`grok-imagine-image`\n- 文生 + 编辑：`nanobanana-pro`、`nano-banana-2`、`nano-banana-2-fast`、`seedream-5.0-pro`、`seedream-5.0-lite`、`gpt-image-2`\n\n**参数支持（按模型不同，服务端校验为准）**：\n\n| model | ratio | resolution | 编辑输入图上限 |\n|---|---|---|---|\n| `nanobanana-pro` | 1:1 / 3:2 / 2:3 / 3:4 / 4:3 / 4:5 / 5:4 / 5:7 / 7:5 / 9:16 / 16:9 / 21:9 / 1:4 / 4:1 | 1k / 2k / 4k / 8k | 14 |\n| `nano-banana-2` | 同上 + 1:8 / 8:1 | 0.5k / 1k / 2k / 4k | 14 |\n| `nano-banana-2-fast` | 同上 + 1:8 / 8:1 | 2k / 4k | 14 |\n| `seedream-5.0-pro` | 1:1 / 1:2 / 2:1 / 1:3 / 3:1 / 2:3 / 3:2 / 3:4 / 4:3 / 4:5 / 5:4 / 9:16 / 16:9 / 9:21 / 21:9 | 2k（默认）/ 1k | 10 |\n| `seedream-5.0-lite` | 1:1 / 1:2 / 2:1 / 1:3 / 3:1 / 1:4 / 4:1 / 1:8 / 8:1 / 2:3 / 3:2 / 3:4 / 4:3 / 4:5 / 5:4 / 5:7 / 7:5 / 9:16 / 16:9 / 9:21 / 21:9 | — | 10 |\n| `gpt-image-2` | 1:1 / 1:2 / 2:1 / 1:3 / 3:1 / 2:3 / 3:2 / 3:4 / 4:3 / 4:5 / 5:4 / 9:16 / 16:9 / 9:21 / 21:9 | 1k / 2k / 4k | 10 |\n| `grok-2-image` | 不校验 | — | 不支持编辑 |\n| `grok-imagine-image` | 1:1 / 3:2 / 2:3 / 3:4 / 4:3 / 4:5 / 5:4 / 9:16 / 16:9 / 21:9 | — | 1 |\n\n- `ratio` 留空由模型按 prompt 决定；prompt 内写明的比例（如 `16:9`、「竖屏」）优先于 `ratio` 参数。\n- `resolution` 不支持的模型必须留空；`4k` 及以上需订阅身份。\n- `image_urls` 只收 http(s) URL，不收 data URI；单张像素 ≤ 3600 万。\n",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，在响应中原样回传",
"type": "string"
},
"idempotency_key": {
"description": "幂等键（预留字段，当前服务端未对本接口做去重）",
"type": "string"
},
"image_urls": {
"description": "文生图时为空数组；编辑时非空，上限因 model 而异。\n",
"items": {
"type": "string"
},
"type": "array"
},
"model": {
"description": "可选。默认 `nanobanana-pro`。",
"enum": [
"nanobanana-pro",
"nano-banana-2",
"nano-banana-2-fast",
"seedream-5.0-pro",
"seedream-5.0-lite",
"gpt-image-2",
"grok-2-image",
"grok-imagine-image"
],
"example": "nanobanana-pro",
"type": "string"
},
"prompt": {
"description": "生成 / 编辑指令",
"type": "string"
},
"ratio": {
"description": "取值集因 model 而异，详见请求体表格。",
"enum": [
"1:1",
"1:2",
"2:1",
"1:3",
"3:1",
"1:4",
"4:1",
"1:8",
"8:1",
"2:3",
"3:2",
"3:4",
"4:3",
"4:5",
"5:4",
"5:7",
"7:5",
"9:16",
"16:9",
"9:21",
"21:9"
],
"example": "9:16",
"type": "string"
},
"resolution": {
"description": "仅 `nanobanana-pro` / `nano-banana-2` / `nano-banana-2-fast` / `seedream-5.0-pro` / `gpt-image-2` 支持；取值集详见请求体表格。\n",
"enum": [
"0.5k",
"1k",
"2k",
"4k",
"8k"
],
"example": "2k",
"type": "string"
},
"sync_mod": {
"description": "`true` 同步阻塞到出图（最长约 60 秒）；默认 `false` 异步返回 `workspace_id`。",
"example": false,
"type": "boolean"
}
},
"type": "object"
},
"name": "image_create"
},
{
"description": "图片抠图",
"inputSchema": {
"description": "图片抠图请求",
"properties": {
"callback_id": {
"description": "回调标识",
"type": "string"
},
"idempotency_key": {
"description": "幂等键，防止重复提交",
"type": "string"
},
"image_url": {
"description": "原图 URL",
"type": "string"
},
"method": {
"description": "抠图方法",
"type": "string"
},
"output_format": {
"description": "输出格式",
"type": "string"
},
"resolution": {
"description": "输出分辨率",
"type": "string"
},
"workspace_id": {
"description": "工作空间 ID，用于关联异步任务",
"type": "string"
}
},
"type": "object"
},
"name": "image_cutout"
},
{
"description": "电商产品图",
"inputSchema": {
"description": "电商产品图请求",
"properties": {
"aspect_ratio": {
"description": "宽高比",
"type": "string"
},
"callback_id": {
"description": "回调标识",
"type": "string"
},
"idempotency_key": {
"description": "幂等键",
"type": "string"
},
"language": {
"description": "语言",
"type": "string"
},
"methods": {
"description": "生成方法列表",
"items": {
"type": "string"
},
"type": "array"
},
"product_info": {
"description": "产品信息",
"type": "string"
},
"reference_image_urls": {
"description": "参考图片 URL 列表",
"items": {
"type": "string"
},
"type": "array"
},
"resolution": {
"description": "输出分辨率",
"type": "string"
},
"user_input": {
"description": "用户输入描述",
"type": "string"
},
"workspace_id": {
"description": "工作空间 ID",
"type": "string"
}
},
"type": "object"
},
"name": "image_ecommerce"
},
{
"description": "图片增强",
"inputSchema": {
"description": "图片增强请求",
"properties": {
"callback_id": {
"description": "回调标识",
"type": "string"
},
"idempotency_key": {
"description": "幂等键",
"type": "string"
},
"image_url": {
"description": "原图 URL",
"type": "string"
},
"method": {
"description": "增强方法",
"type": "string"
},
"resolution": {
"description": "输出分辨率",
"type": "string"
},
"scale": {
"description": "放大倍数",
"format": "int32",
"type": "integer"
},
"workspace_id": {
"description": "工作空间 ID",
"type": "string"
}
},
"type": "object"
},
"name": "image_enhance"
},
{
"description": "AI 图片消除",
"inputSchema": {
"description": "AI 图片消除请求",
"properties": {
"aspect_ratio": {
"description": "宽高比",
"type": "string"
},
"callback_id": {
"description": "回调标识",
"type": "string"
},
"idempotency_key": {
"description": "幂等键",
"type": "string"
},
"image_url": {
"description": "原图 URL",
"type": "string"
},
"instruction": {
"description": "消除指令描述",
"type": "string"
},
"mask_url": {
"description": "蒙版 URL",
"type": "string"
},
"method": {
"description": "消除方法",
"type": "string"
},
"quantity": {
"description": "生成数量",
"format": "int32",
"type": "integer"
},
"resolution": {
"description": "输出分辨率",
"type": "string"
},
"workspace_id": {
"description": "工作空间 ID",
"type": "string"
}
},
"type": "object"
},
"name": "image_magic_eraser"
},
{
"description": "活动海报图",
"inputSchema": {
"description": "活动海报图请求",
"properties": {
"aspect_ratio": {
"description": "宽高比",
"type": "string"
},
"callback_id": {
"description": "回调标识",
"type": "string"
},
"event_info": {
"description": "活动信息",
"type": "string"
},
"idempotency_key": {
"description": "幂等键",
"type": "string"
},
"language": {
"description": "语言",
"type": "string"
},
"method": {
"description": "海报生成方法",
"type": "string"
},
"reference_image_urls": {
"description": "参考图片 URL 列表",
"items": {
"type": "string"
},
"type": "array"
},
"resolution": {
"description": "输出分辨率",
"type": "string"
},
"workspace_id": {
"description": "工作空间 ID",
"type": "string"
}
},
"type": "object"
},
"name": "image_poster"
},
{
"description": "创建自定义 Persona",
"inputSchema": {
"description": "创建自定义 Persona 请求。",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"name": {
"type": "string"
},
"photo_url": {
"type": "string"
},
"voice_audio_url": {
"description": "可选，用于语音克隆",
"type": "string"
}
},
"type": "object"
},
"name": "persona_create"
},
{
"description": "删除自定义 Persona",
"inputSchema": {
"description": "删除 Persona 请求。",
"properties": {
"actor_id": {
"type": "string"
}
},
"type": "object"
},
"name": "persona_delete"
},
{
"description": "个人创建演员列表\n\n分页查询当前用户创建的个人演员（Persona）列表。",
"inputSchema": {
"description": "个人创建演员列表分页查询；`offset`、`limit` 为分页参数。",
"properties": {
"limit": {
"format": "int32",
"type": "integer"
},
"offset": {
"format": "int32",
"type": "integer"
}
},
"type": "object"
},
"name": "persona_list"
},
{
"description": "视频拉片",
"inputSchema": {
"description": "视频拉片任务。",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"video_url": {
"description": "源视频 URL",
"type": "string"
},
"workspace_id": {
"description": "关联工作区 ID，无则传 0",
"format": "int64",
"type": "integer"
}
},
"type": "object"
},
"name": "video_analyze"
},
{
"description": "视频换脸",
"inputSchema": {
"description": "视频换脸任务。",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"image_url": {
"description": "目标人脸参考图 URL",
"type": "string"
},
"video_url": {
"type": "string"
},
"workspace_id": {
"format": "int64",
"type": "integer"
}
},
"type": "object"
},
"name": "video_character_swap"
},
{
"description": "视频编辑\n\n**仅支持 `seedance-2.0` 模型基座**。\n源视频二选一：`workspace_id` 或 `video_url`；同时传 / 同时空均报错。\n`mask_url` 可选；非空时为局部编辑掩码。",
"inputSchema": {
"description": "视频编辑。源视频二选一：`workspace_id` 或 `video_url`；同时传 / 同时空均报错。\n`mask_url` 可选；非空时为局部编辑掩码（模型支持度以服务端为准）。\n\n**仅支持 `seedance-2.0` 模型基座**，不开放其他模型。`resolution` 取 `720p` / `1080p`。\n",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"idempotency_key": {
"type": "string"
},
"mask_url": {
"type": "string"
},
"model": {
"default": "seedance-2.0",
"description": "仅支持 `seedance-2.0`。",
"enum": [
"seedance-2.0"
],
"type": "string"
},
"prompt": {
"type": "string"
},
"ratio": {
"type": "string"
},
"reference_images": {
"items": {
"type": "string"
},
"type": "array"
},
"resolution": {
"enum": [
"720p",
"1080p"
],
"type": "string"
},
"video_url": {
"type": "string"
},
"workspace_id": {
"type": "string"
}
},
"type": "object"
},
"name": "video_edit"
},
{
"description": "视频增强",
"inputSchema": {
"description": "视频增强请求",
"properties": {
"callback_id": {
"description": "回调标识",
"type": "string"
},
"duration": {
"description": "时长（秒）",
"format": "int32",
"type": "integer"
},
"idempotency_key": {
"description": "幂等键",
"type": "string"
},
"method": {
"description": "增强方法",
"type": "string"
},
"resolution": {
"description": "输出分辨率",
"type": "string"
},
"video_url": {
"description": "视频 URL",
"type": "string"
},
"workspace_id": {
"description": "工作空间 ID",
"type": "string"
}
},
"type": "object"
},
"name": "video_enhance_v2"
},
{
"description": "视频延长（在源视频末尾追加 N 秒）\n\n**仅支持 `seedance-2.0` 模型基座**。\n源视频二选一：`workspace_id`（内部）或 `video_url`（外部）；同时传 / 同时空均报错。\n`duration` 为增量秒数：原 8s + duration=4 → 输出 12s。",
"inputSchema": {
"description": "视频延长。源视频二选一：`workspace_id`（内部）或 `video_url`（外部）；同时传 / 同时空均报错。\n`duration` 为增量秒数。\n\n**仅支持 `seedance-2.0` 模型基座**，不开放其他模型。`duration` 取值范围 4~15（默认 15），`resolution` 取 `720p` / `1080p`。\n",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"duration": {
"description": "在源视频末尾追加的秒数；范围 4~15，默认 15。",
"format": "int32",
"maximum": 15,
"minimum": 4,
"type": "integer"
},
"idempotency_key": {
"type": "string"
},
"model": {
"default": "seedance-2.0",
"description": "仅支持 `seedance-2.0`。",
"enum": [
"seedance-2.0"
],
"type": "string"
},
"prompt": {
"type": "string"
},
"ratio": {
"type": "string"
},
"resolution": {
"enum": [
"720p",
"1080p"
],
"type": "string"
},
"video_url": {
"type": "string"
},
"workspace_id": {
"type": "string"
}
},
"type": "object"
},
"name": "video_extend"
},
{
"description": "视频生成（文生 / 图生 / 首尾帧 / 多参考媒体）\n\n异步任务；状态走 `/openapi/v1/work/status`，结果走 webhook。\n`model` 各能力差异以服务端注册表为准（duration / ratio / resolution / reference_* 上限按模型而定）。",
"inputSchema": {
"description": "视频生成。文生视频时 `start_frame` / `end_frame` / `reference_*` 留空；\n图生视频时通过 `start_frame`（可叠加 `end_frame`）控制首尾帧；多参考媒体由 `reference_images` / `reference_videos` / `reference_audios` 携带。\n\n**各模型规则**（取值集与上限按模型而定，服务端校验为准）：\n\n| model | duration | resolution | ratio | start/end_frame | reference_images | reference_videos | reference_audios | 备注 |\n|---|---|---|---|---|---|---|---|---|\n| `veo-3.1` | 4/6/8（默认 8） | 720p / 1080p / 4k | 16:9 / 9:16 | ≤2 | 无上限 | — | — | frame 与 reference 互斥 |\n| `kling-3.0` | 3~15（默认 8） | — | — | ≤2 | ≤1 | — | — | |\n| `grok` | 6/10（默认 6） | — | — | 不支持 | ≤1（作为首帧使用） | — | — | |\n| `seedance-2.0` | 4~15（默认 15） | 720p / 1080p | — | ≤2 | ≤9 | ≤3 | ≤3 | frame 与 reference 互斥；audio 需配 image/video |\n| `happyhorse-1.0` | 3~15（默认 5） | 720p / 1080p | 16:9 / 9:16 / 1:1 / 4:3 / 3:4 | ≤1 | ≤9 | ≤1（有视频时图片改限 ≤5） | — | frame 与 reference 互斥 |\n",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"duration": {
"description": "视频时长（秒）。取值集 / 范围因 model 而异，详见请求体表格。",
"format": "int32",
"type": "integer"
},
"end_frame": {
"description": "尾帧图片 URL",
"type": "string"
},
"idempotency_key": {
"description": "幂等键，相同 key 重复请求复用同一任务",
"type": "string"
},
"model": {
"description": "模型短名称，省略时走服务端默认。",
"enum": [
"veo-3.1",
"kling-3.0",
"grok",
"seedance-2.0",
"happyhorse-1.0"
],
"example": "veo-3.1",
"type": "string"
},
"prompt": {
"type": "string"
},
"ratio": {
"description": "取值集因 model 而异，详见请求体表格。",
"enum": [
"16:9",
"9:16",
"1:1",
"4:3",
"3:4"
],
"example": "16:9",
"type": "string"
},
"reference_audios": {
"items": {
"type": "string"
},
"type": "array"
},
"reference_images": {
"items": {
"type": "string"
},
"type": "array"
},
"reference_videos": {
"items": {
"type": "string"
},
"type": "array"
},
"resolution": {
"description": "仅部分模型支持；取值集因 model 而异，详见请求体表格。",
"enum": [
"720p",
"1080p",
"4k"
],
"example": "1080p",
"type": "string"
},
"start_frame": {
"description": "首帧图片 URL",
"type": "string"
}
},
"type": "object"
},
"name": "video_generate"
},
{
"description": "视频水印消除",
"inputSchema": {
"description": "视频水印消除任务。",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"video_url": {
"type": "string"
},
"workspace_id": {
"format": "int64",
"type": "integer"
}
},
"type": "object"
},
"name": "video_inpaint"
},
{
"description": "视频对口型",
"inputSchema": {
"description": "视频对口型任务。",
"properties": {
"audio_url": {
"type": "string"
},
"avatar_url": {
"type": "string"
},
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"prompt": {
"type": "string"
}
},
"type": "object"
},
"name": "video_lip_sync"
},
{
"description": "AI 视频消除",
"inputSchema": {
"description": "AI 视频消除请求",
"properties": {
"callback_id": {
"description": "回调标识",
"type": "string"
},
"duration": {
"description": "时长（秒）",
"format": "int32",
"type": "integer"
},
"idempotency_key": {
"description": "幂等键",
"type": "string"
},
"method": {
"description": "消除方法",
"type": "string"
},
"video_url": {
"description": "视频 URL",
"type": "string"
},
"workspace_id": {
"description": "工作空间 ID",
"type": "string"
}
},
"type": "object"
},
"name": "video_magic_eraser"
},
{
"description": "视频动作控制",
"inputSchema": {
"description": "视频动作控制任务。",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"character_orientation": {
"description": "角色朝向，默认与视频一致时可传 video",
"type": "string"
},
"image_url": {
"type": "string"
},
"keep_original_sound": {
"type": "boolean"
},
"mode": {
"type": "string"
},
"negative_prompt": {
"type": "string"
},
"prompt": {
"type": "string"
},
"video_url": {
"type": "string"
},
"workspace_id": {
"format": "int64",
"type": "integer"
}
},
"type": "object"
},
"name": "video_motion_control"
},
{
"description": "视频字幕",
"inputSchema": {
"description": "视频字幕任务。",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"source_language": {
"type": "string"
},
"style_type": {
"type": "string"
},
"subtitle_format": {
"type": "string"
},
"translate_language": {
"type": "string"
},
"video_url": {
"type": "string"
},
"workspace_id": {
"format": "int64",
"type": "integer"
}
},
"type": "object"
},
"name": "video_subtitle"
},
{
"description": "视频翻译",
"inputSchema": {
"description": "视频翻译任务。",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"target_lang": {
"description": "目标语言",
"type": "string"
},
"video_url": {
"type": "string"
},
"workspace_id": {
"format": "int64",
"type": "integer"
}
},
"type": "object"
},
"name": "video_translate"
},
{
"description": "视频超分",
"inputSchema": {
"description": "视频超分任务。",
"properties": {
"callback_id": {
"description": "自定义追踪 ID，webhook URL 后台配置",
"type": "string"
},
"video_url": {
"type": "string"
},
"workspace_id": {
"format": "int64",
"type": "integer"
}
},
"type": "object"
},
"name": "video_upscale"
}
]
}What the leaf hashes
{"body":"9d40f5c7fe03675699ff0ec6da240478261ae68c74a4b8f38cc483b0091a66e2","id":569764,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793139499010054,"prev":null,"subject":"2c029801-f492-4941-b239-131f8ef40ba7","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).
- 0x91b58ab69953705c9ed5d0ba14d9b7f271737ee290f5ef2edccc5069d7205fdb
- 0xbe3a54689c13511ef514d612806557e3bf6e3a8fd7166a5bd8089112ebce29d3
- 0x5f6e41e88196281789200b33f0f574bd837e6a4cff16aba1aba870f947a5c8de
- 0xd0470c990cf15e556ffb97d087fcffe3d77eb0cd23c4ccd97c9316af83fb5133
- 0x35d1ca30729f7aea61c014a35b917cd62747781e39e23762f666933bb5e3bebd
- 0x91b6a183c29ab14a8844a6ee3efe268d9670da75cd2c6e1e1444ee448260a294
- 0x630a61b7a02402946c0c44a81a914148e4ad5bbd45ecf272873efac063c661e7
- 0x3b94bd64caa1c4ae1ce39c067887a5f3ea0f200e92ca59127c17436186423ffc
- 0x58b8a552fd884077a8898971f1073528479c2a4561337c256ecaeacafa9a4ff0
- 0x661ad45868f05f6657414194f024a4b958ade814e0bdf453fcda52c79b0de636
- 0xaa9773e9c492a92149563af713a17e44011b905d5edb354dd70fb0a97c82a438
- 0xfd2b06953e26e4e360d929209ec04f8c67b7bbdc4861dbc60618fbc5f9b393f0
- 0x5c9cbca5bb1d6be4d84e301b4e4c1a280536eb16ee98ed4add9057142c132dde
- 0x06e3b43165f5b3c31d850bc32f20b2e25b844564c4e042c141b9748c26a5a600
- 0xb4f7223140c8a36cb87a63d77cf617086d9968dc4658f03e102571ebe06e9ed6
- 0xfecf3d4646dd4984a13dd715499e842c3fde63692336d97394c2bfd8e877ca5d
- 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
- 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4