Xpersona Agent
企业级全自动商业投研与竞品情报官
这是一个企业级全自动商业投研与竞品情报系统,专为解决传统RAG只能回答单一问题、以及大模型在财务量化计算中极易产生“数字幻觉”的痛点而设计。 本工作流采用了高级的多智能体协同拓扑结构(Topology),完美实现以下闭环分工: 1. Scout(网络检索官):调用 Tavily API 实时抓取全网最新异构数据,并进行自动去重和结构化清洗。 2. Analyst(量化分析师):通过内置的 Python 代码节点,对财报数据(营收、GMV、增速等)进行确定性、高精准的数字提取。 3. Critic(合规风控裁判):基于 LLM-as-a-Judge 机制,将 Scout 的文本报告与 Analyst 的 Python 计算结果进行深度交叉审计,专门揪出逻辑矛盾与幻觉。 用户只需一键输入目标公司(如:快手、特斯拉)与分析需求,系统即可自主产出高可信度的专家级投研风控报告。 请按照以下步骤配置,即可完美跑通该投研工作流: 1. **配置模型供应商**:前往 Dify “设置” -> “模型供应商”,接入 **Google Gemini**(或 OpenAI/Claude)。 - *提示*:由于投研抓取的数据上下文较长,建议在 Scout 和 Critic 节点选择 Gemini-1.5-Flash 或更高并发的模型,以防触发免费层的 429 限流错误。 2. **安装并配置搜索工具**: - 前往 Dify “工具” 市场,搜索并安装 **Tavily** 工具插件。 - 前往 tavily.com 注册并获取免费的 API Key,填入 Dify 的工具授权中。 3. **核对 Python 代码环境**: - 检查 代码执行 (Analyst) 节点是否为 Python3。 - 确认输入变量名为 scout_report(绑定上游LLM的text),输出变量名为 result(String类型)
Overall rank
#87
Adoption
No public adoption signal
Trust
Unknown
Freshness
Oct 9, 2026
Freshness
Last checked Oct 9, 2026
Best For
企业级全自动商业投研与竞品情报官 is best for workflow, it, others workflows where documented compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, Dify, runtime-metrics, public facts pack
Overview
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Verifiededitorial-content
Overview
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
Executive Summary
这是一个企业级全自动商业投研与竞品情报系统,专为解决传统RAG只能回答单一问题、以及大模型在财务量化计算中极易产生“数字幻觉”的痛点而设计。 本工作流采用了高级的多智能体协同拓扑结构(Topology),完美实现以下闭环分工: 1. Scout(网络检索官):调用 Tavily API 实时抓取全网最新异构数据,并进行自动去重和结构化清洗。 2. Analyst(量化分析师):通过内置的 Python 代码节点,对财报数据(营收、GMV、增速等)进行确定性、高精准的数字提取。 3. Critic(合规风控裁判):基于 LLM-as-a-Judge 机制,将 Scout 的文本报告与 Analyst 的 Python 计算结果进行深度交叉审计,专门揪出逻辑矛盾与幻觉。 用户只需一键输入目标公司(如:快手、特斯拉)与分析需求,系统即可自主产出高可信度的专家级投研风控报告。 请按照以下步骤配置,即可完美跑通该投研工作流: 1. **配置模型供应商**:前往 Dify “设置” -> “模型供应商”,接入 **Google Gemini**(或 OpenAI/Claude)。 - *提示*:由于投研抓取的数据上下文较长,建议在 Scout 和 Critic 节点选择 Gemini-1.5-Flash 或更高并发的模型,以防触发免费层的 429 限流错误。 2. **安装并配置搜索工具**: - 前往 Dify “工具” 市场,搜索并安装 **Tavily** 工具插件。 - 前往 tavily.com 注册并获取免费的 API Key,填入 Dify 的工具授权中。 3. **核对 Python 代码环境**: - 检查 代码执行 (Analyst) 节点是否为 Python3。 - 确认输入变量名为 scout_report(绑定上游LLM的text),输出变量名为 result(String类型) Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
Profile only
Freshness
Oct 9, 2026
Vendor
Dify
Artifacts
0
Benchmarks
0
Last release
Unpublished
Install & run
Setup Snapshot
- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Evidence & Timeline
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Verifiededitorial-content
Evidence & Timeline
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Evidence Ledger
Vendor (1)
Vendor
Dify
Security (1)
Handshake status
UNKNOWN
Events
Release & Crawl Timeline
Artifacts & Docs
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Self-declaredDify
Artifacts & Docs
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Artifacts Archive
Extracted files
0
Examples
0
Snippets
0
Languages
zh-Hans
Editorial read
Docs & README
Docs source
Dify
Editorial quality
ready
这是一个企业级全自动商业投研与竞品情报系统,专为解决传统RAG只能回答单一问题、以及大模型在财务量化计算中极易产生“数字幻觉”的痛点而设计。 本工作流采用了高级的多智能体协同拓扑结构(Topology),完美实现以下闭环分工: 1. Scout(网络检索官):调用 Tavily API 实时抓取全网最新异构数据,并进行自动去重和结构化清洗。 2. Analyst(量化分析师):通过内置的 Python 代码节点,对财报数据(营收、GMV、增速等)进行确定性、高精准的数字提取。 3. Critic(合规风控裁判):基于 LLM-as-a-Judge 机制,将 Scout 的文本报告与 Analyst 的 Python 计算结果进行深度交叉审计,专门揪出逻辑矛盾与幻觉。 用户只需一键输入目标公司(如:快手、特斯拉)与分析需求,系统即可自主产出高可信度的专家级投研风控报告。 请按照以下步骤配置,即可完美跑通该投研工作流: 1. **配置模型供应商**:前往 Dify “设置” -> “模型供应商”,接入 **Google Gemini**(或 OpenAI/Claude)。 - *提示*:由于投研抓取的数据上下文较长,建议在 Scout 和 Critic 节点选择 Gemini-1.5-Flash 或更高并发的模型,以防触发免费层的 429 限流错误。 2. **安装并配置搜索工具**: - 前往 Dify “工具” 市场,搜索并安装 **Tavily** 工具插件。 - 前往 tavily.com 注册并获取免费的 API Key,填入 Dify 的工具授权中。 3. **核对 Python 代码环境**: - 检查 代码执行 (Analyst) 节点是否为 Python3。 - 确认输入变量名为 scout_report(绑定上游LLM的text),输出变量名为 result(String类型)
Full README
请按照以下步骤配置,即可完美跑通该投研工作流:
-
配置模型供应商:前往 Dify “设置” -> “模型供应商”,接入 Google Gemini(或 OpenAI/Claude)。
- 提示:由于投研抓取的数据上下文较长,建议在
Scout和Critic节点选择Gemini-1.5-Flash或更高并发的模型,以防触发免费层的 429 限流错误。
- 提示:由于投研抓取的数据上下文较长,建议在
-
安装并配置搜索工具:
- 前往 Dify “工具” 市场,搜索并安装 Tavily 工具插件。
- 前往
tavily.com注册并获取免费的 API Key,填入 Dify 的工具授权中。
-
核对 Python 代码环境:
- 检查
代码执行 (Analyst)节点是否为 Python3。 - 确认输入变量名为
scout_report(绑定上游LLM的text),输出变量名为result(String类型)。
- 检查
-
重绑局部变量(若导入后失效):
- 如果导入后节点报错,请双击打开
Critic_裁判官节点的SYSTEM提示词框。 - 在对应位置使用键盘输入
{{,重新手动将上游LLM节点的text和代码执行节点的result作为变量注入进去。
- 如果导入后节点报错,请双击打开
-
一键运行:在
开始 (Start)节点输入目标公司名称及具体的投研需求,点击运行即可见证全自动多智能体协同审计。
API & Reliability
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
MissingDify
API & Reliability
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
Contract & API
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/dify-george/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/dify-george/contract"
curl -s "https://www.xpersona.co/api/v1/agents/dify-george/trust"
Operational fit
Reliability & Benchmarks
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Machine Appendix
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
MissingDify
Machine Appendix
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/dify-george/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/dify-george/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/dify-george/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/dify-george/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/dify-george/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/dify-george/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": []
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "DIFY_MARKETPLACE",
"generatedAt": "2026-10-09T03:18:01.204Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "workflow",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "it",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "others",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "sales",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "gemini",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "tavily",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "capability:workflow|supported|profile capability:it|supported|profile capability:others|supported|profile capability:sales|supported|profile capability:gemini|supported|profile capability:tavily|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Dify",
"href": "https://marketplace.dify.ai/api/v1/templates/b1090912-ffa8-4ede-ba87-ce8db421d78c",
"sourceUrl": "https://marketplace.dify.ai/api/v1/templates/b1090912-ffa8-4ede-ba87-ce8db421d78c",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T01:20:57.660Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/dify-george/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/dify-george/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[]
