How should 行业研究智库 be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

行业研究智库 | Xpersona Agent

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

通过结构化编排，结合llm模型分析和代码优势，产出质量稳定的行业研究报告：① 输入层用户输入行业名称，可选分析深度/侧重维度 ② 预处理层 Code Node 行业标准化（清洗名称、判断层级、查重）→ 知识库查重（已有则返回缓存） ③ 多源搜索层（并行） 6维度并行搜索：行业概况、市场规模、国家政策、发展趋势、主要参与者、商业模式。每维度对应不同数据源 ④ 质量验证层 Code Node 多维评分（时效性、来源可信度、完整性、相关度、去重）→ IF/ELSE门槛：核心维度≥2个合格才继续，否则中止+说明报告 ⑤ AI 深度分析层 3次分步 LLM Call：底层逻辑/痛点 → AI化潜力评估 → 推荐方案生成 ⑥ 质检 & 存储层 LLM 自检（引用完整、可落地、无幻觉、打分>80）→ 结构化存储（向量化知识库+元数据标签+结构化数据库）输出完整报告 Markdown、含来源注释、置信度标注前提已部署 Dify（自建或云端）已配置 LLM 供应商（如 DeepSeek / OpenAI）已安装需要的插件（如 Web 搜索工具、Python Code 运行环境）步骤 1. 创建空白工作流进入工作室 → 「创建应用」→ 「工作流」→ 命名（如"行业智库分析"）类型选 Chatflow（对话式）或 Workflow（任务式） 2. 搭建节点（按架构图顺序）序号节点类型配置要点 ① Start 节点添加变量：industry_name（String，行业名称）、depth（String，可选深度） ② Code Node（预处理） Python：清洗名称、映射到标准行业分类、判断层级。输出 standardized_name、industry_level ③ 知识库查重接 Dify 知识库 → 搜索已有报告。IF 命中 → 直接返回缓存，结束流程；ELSE → 继续 ④ 6× 并行 HTTP/搜索节点 Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

No verified compatibility signals

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Unpublished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

Public facts

Evidence Ledger

Vendor (1)

Vendor

Dify

profilemedium

Observed Oct 9, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Events

Release & Crawl Timeline

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredDify

Captured outputs

Artifacts Archive

Extracted files

0

Examples

0

Snippets

0

Languages

en

Editorial read

Docs & README

Docs source

Dify

Editorial quality

ready

通过结构化编排，结合llm模型分析和代码优势，产出质量稳定的行业研究报告：① 输入层用户输入行业名称，可选分析深度/侧重维度 ② 预处理层 Code Node 行业标准化（清洗名称、判断层级、查重）→ 知识库查重（已有则返回缓存） ③ 多源搜索层（并行） 6维度并行搜索：行业概况、市场规模、国家政策、发展趋势、主要参与者、商业模式。每维度对应不同数据源 ④ 质量验证层 Code Node 多维评分（时效性、来源可信度、完整性、相关度、去重）→ IF/ELSE门槛：核心维度≥2个合格才继续，否则中止+说明报告 ⑤ AI 深度分析层 3次分步 LLM Call：底层逻辑/痛点 → AI化潜力评估 → 推荐方案生成 ⑥ 质检 & 存储层 LLM 自检（引用完整、可落地、无幻觉、打分>80）→ 结构化存储（向量化知识库+元数据标签+结构化数据库）输出完整报告 Markdown、含来源注释、置信度标注前提已部署 Dify（自建或云端）已配置 LLM 供应商（如 DeepSeek / OpenAI）已安装需要的插件（如 Web 搜索工具、Python Code 运行环境）步骤 1. 创建空白工作流进入工作室 → 「创建应用」→ 「工作流」→ 命名（如"行业智库分析"）类型选 Chatflow（对话式）或 Workflow（任务式） 2. 搭建节点（按架构图顺序）序号节点类型配置要点 ① Start 节点添加变量：industry_name（String，行业名称）、depth（String，可选深度） ② Code Node（预处理） Python：清洗名称、映射到标准行业分类、判断层级。输出 standardized_name、industry_level ③ 知识库查重接 Dify 知识库 → 搜索已有报告。IF 命中 → 直接返回缓存，结束流程；ELSE → 继续 ④ 6× 并行 HTTP/搜索节点

Full README

前提已部署 Dify（自建或云端）已配置 LLM 供应商（如 DeepSeek / OpenAI）已安装需要的插件（如 Web 搜索工具、Python Code 运行环境）步骤

创建空白工作流

进入工作室 → 「创建应用」→ 「工作流」→ 命名（如"行业智库分析"）类型选 Chatflow（对话式）或 Workflow（任务式） 2. 搭建节点（按架构图顺序）

序号节点类型配置要点 ① Start 节点添加变量：industry_name（String，行业名称）、depth（String，可选深度） ② Code Node（预处理） Python：清洗名称、映射到标准行业分类、判断层级。输出 standardized_name、industry_level ③ 知识库查重接 Dify 知识库 → 搜索已有报告。IF 命中 → 直接返回缓存，结束流程；ELSE → 继续 ④ 6× 并行 HTTP/搜索节点每维度一个节点，配置对应搜索源（可串联 web_scraper 插件或调用搜索 API）。输出汇聚到 raw_data ⑤ Code Node（质量评分）对 raw_data 逐维度评分：时效性、来源可信度、完整性。输出 quality_scores + qualified_dimensions ⑥ IF/ELSE 门槛条件：qualified_dimensions >= 2（核心维度概况/规模/趋势）。NO → 中止节点输出缺失说明；YES → 继续 ⑦ LLM Node 1 "基于以上资料，分析该行业的产业链价值分布和核心痛点" ⑧ LLM Node 2 "评估该行业的 AI 化潜力：可替代环节、数字化程度、进入壁垒" ⑨ LLM Node 3 "生成 3-5 个推荐方案，每个包含技术路径、难度评级、预期效果、数据引用" ⑩ LLM Node（自检） "审核以上报告：数据引用完整吗？方案可落地吗？有无幻觉？输出总分" ⑪ IF/ELSE（自检）条件：score > 80。通过 → 写入知识库；不通过 → 标记需人工复审 ⑫ 知识库写入向量化存储报告，附带元数据标签（行业/日期/版本号/质检分/缺失维度） ⑬ End 节点返回完整 Markdown 报告给用户 3. 关键配置细节

并行搜索：在 Dify 中用「变量聚合」节点将 6 路搜索输出合并为一个数组搜索工具：Dify Marketplace 安装 web_scraper 或自建 HTTP 节点调百度/Google API 知识库：创建工作流专属知识库，设置 Embedding 模型和分段策略（按段落/章节分块） Code Node 需写 Python，用 Dify 内置 json、re 等标准库即可 4. 测试 & 发布

输入一个行业（如"新能源汽车"）跑完整流程验证发布为 API 或嵌入到 Chatflow 供团队使用

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingDify

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

No protocol metadata captured.

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/dify-heidi/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/dify-heidi/contract"

curl -s "https://www.xpersona.co/api/v1/agents/dify-heidi/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

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Related

Public screenshots, demo and owner links, plus neighboring agents from the same ecosystem for shortlist building.

Missingno-media

Visual context

Media & Demo

No screenshots, media assets, or demo links are available.

Comparison set

Related Agents

No close protocol neighbors were found.

Agent hub More from this source

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingDify

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-heidi/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/dify-heidi/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/dify-heidi/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-heidi/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-heidi/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-heidi/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": []
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "DIFY_MARKETPLACE",
      "generatedAt": "2026-10-09T03:34:37.739Z"
    }
  },
  "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": "marketing",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "support",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "deepseek",
      "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:marketing|supported|profile capability:support|supported|profile capability:deepseek|supported|profile capability:tavily|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Dify",
    "href": "https://marketplace.dify.ai/api/v1/templates/39c0c10c-7e68-44d3-abd7-21213f04f564",
    "sourceUrl": "https://marketplace.dify.ai/api/v1/templates/39c0c10c-7e68-44d3-abd7-21213f04f564",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T01:20:55.773Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/dify-heidi/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/dify-heidi/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]