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Xpersona Agent

ResearchOps MegaAgent 科研工程化选题与文献情报平台

ResearchOps MegaAgent is a Dify Chatflow for research topic refinement and literature intelligence. It turns a broad research idea into structured search queries, retrieves papers from arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed and Europe PMC, deduplicates and scores evidence, and generates a Markdown research report with literature insights, research gaps, methodology suggestions, risks, and citation-ready outputs. 1. Import the YAML file into Dify Studio and open the workflow canvas. 2. Configure your LLM provider in Dify. Any strong general-purpose chat model can be used, but a model with long-context reasoning is recommended because the workflow generates research reports from multiple evidence sources. 3. Configure the Semantic Scholar proxy key. This template uses the OMINI Semantic Scholar proxy endpoint: https://s2api.om

Trust evidence available
View on Dify

Overall rank

#88

Adoption

No public adoption signal

Trust

Unknown

Freshness

Oct 9, 2026

Freshness

Last checked Oct 9, 2026

Best For

ResearchOps MegaAgent 科研工程化选题与文献情报平台 is best for workflow, it, deepseek 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

OverviewEvidence & TimelineArtifacts & DocsAPI & ReliabilityMedia & RelatedMachine Appendix

Overview

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

Verifiededitorial-content

Overview

Executive Summary

ResearchOps MegaAgent is a Dify Chatflow for research topic refinement and literature intelligence. It turns a broad research idea into structured search queries, retrieves papers from arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed and Europe PMC, deduplicates and scores evidence, and generates a Markdown research report with literature insights, research gaps, methodology suggestions, risks, and citation-ready outputs. 1. Import the YAML file into Dify Studio and open the workflow canvas. 2. Configure your LLM provider in Dify. Any strong general-purpose chat model can be used, but a model with long-context reasoning is recommended because the workflow generates research reports from multiple evidence sources. 3. Configure the Semantic Scholar proxy key. This template uses the OMINI Semantic Scholar proxy endpoint: https://s2api.om 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. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 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 linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

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

ResearchOps MegaAgent is a Dify Chatflow for research topic refinement and literature intelligence. It turns a broad research idea into structured search queries, retrieves papers from arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed and Europe PMC, deduplicates and scores evidence, and generates a Markdown research report with literature insights, research gaps, methodology suggestions, risks, and citation-ready outputs. 1. Import the YAML file into Dify Studio and open the workflow canvas. 2. Configure your LLM provider in Dify. Any strong general-purpose chat model can be used, but a model with long-context reasoning is recommended because the workflow generates research reports from multiple evidence sources. 3. Configure the Semantic Scholar proxy key. This template uses the OMINI Semantic Scholar proxy endpoint: https://s2api.om

Full README

  1. Import the YAML file into Dify Studio and open the workflow canvas.

  2. Configure your LLM provider in Dify. Any strong general-purpose chat model can be used, but a model with long-context reasoning is recommended because the workflow generates research reports from multiple evidence sources.

  3. Configure the Semantic Scholar proxy key. This template uses the OMINI Semantic Scholar proxy endpoint: https://s2api.ominiai.cn/s2/graph/v1/paper/search

    In both Semantic Scholar HTTP nodes, such as the primary search node and the secondary recall node, set the following headers:

    • Authorization: Bearer YOUR_OMINI_API_KEY
    • OMINI-API-Model: semantic
    • Accept: application/json
    • User-Agent: Dify-ResearchOps-MegaAgent/1.0

    Do not publish or share your real API key inside the template.

  4. Check the main literature retrieval nodes. arXiv, OpenAlex, Crossref, PubMed and Europe PMC usually work without a private API key. Semantic Scholar requires either a valid proxy token or an official Semantic Scholar API key.

  5. Run a test query, for example: I want to find a research topic about hallucination detection in RAG systems and low-compute LLM evaluation.

  6. If a Semantic Scholar request fails because of rate limits or authentication issues, keep the workflow stable by enabling error handling on the Semantic Scholar nodes and returning an empty fallback result: {"total":0,"offset":0,"data":[]}

  7. After the test run finishes, check whether the final Markdown report contains the literature matrix, evidence summary, research gap analysis, methodology suggestions, risk analysis, and citation/export sections.

  8. Publish the app after all workflow nodes pass the checklist. The published app can then be used as a research assistant for topic selection, literature intelligence gathering, and early-stage research proposal planning.

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 APISnapshot APIContract APITrust 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-shorpan-researchops-megaagent/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/dify-shorpan-researchops-megaagent/contract"
curl -s "https://www.xpersona.co/api/v1/agents/dify-shorpan-researchops-megaagent/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 hubMore 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-shorpan-researchops-megaagent/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/dify-shorpan-researchops-megaagent/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/dify-shorpan-researchops-megaagent/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-shorpan-researchops-megaagent/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-shorpan-researchops-megaagent/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/dify-shorpan-researchops-megaagent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": []
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "DIFY_MARKETPLACE",
      "generatedAt": "2026-10-09T03:19:34.653Z"
    }
  },
  "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": "deepseek",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "capability:workflow|supported|profile capability:it|supported|profile capability:deepseek|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Dify",
    "href": "https://marketplace.dify.ai/api/v1/templates/701bf356-d7ac-4bb2-a883-87d233cbfd5c",
    "sourceUrl": "https://marketplace.dify.ai/api/v1/templates/701bf356-d7ac-4bb2-a883-87d233cbfd5c",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T01:20:56.576Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/dify-shorpan-researchops-megaagent/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/dify-shorpan-researchops-megaagent/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]

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