Crawler Summary

Dynamic-Underwriting-Age answer-first brief

The Dynamic Underwriting Agent is an AI-powered system automating financial underwriting. Integrating CrewAI and LangChain with UiPath, it retrieves applicant data, evaluates risk factors like DTI and credit scores, and determines real-time outcomes (Approve, Mitigate, Escalate), reducing manual effort and increasing decision accuracy. Dynamic Underwriting Agent - Hackathon Submission πŸ“– Project Description The Dynamic Underwriting Agent is an AI-powered system designed to analyze applicant financial data and automate real-time underwriting decisions. Traditional underwriting can be slow and prone to manual errors. This project solves this by evaluating the exact **financial pressure** the applicant is under and isolating the primary **factor impac Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

Dynamic-Underwriting-Age is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Agent DossierGITHUB REPOSSafety: 66/100

Dynamic-Underwriting-Age

The Dynamic Underwriting Agent is an AI-powered system automating financial underwriting. Integrating CrewAI and LangChain with UiPath, it retrieves applicant data, evaluates risk factors like DTI and credit scores, and determines real-time outcomes (Approve, Mitigate, Escalate), reducing manual effort and increasing decision accuracy. Dynamic Underwriting Agent - Hackathon Submission πŸ“– Project Description The Dynamic Underwriting Agent is an AI-powered system designed to analyze applicant financial data and automate real-time underwriting decisions. Traditional underwriting can be slow and prone to manual errors. This project solves this by evaluating the exact **financial pressure** the applicant is under and isolating the primary **factor impac

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

93527rupali38898

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

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 Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

93527rupali38898

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

0

Snippets

0

Languages

python

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

The Dynamic Underwriting Agent is an AI-powered system automating financial underwriting. Integrating CrewAI and LangChain with UiPath, it retrieves applicant data, evaluates risk factors like DTI and credit scores, and determines real-time outcomes (Approve, Mitigate, Escalate), reducing manual effort and increasing decision accuracy. Dynamic Underwriting Agent - Hackathon Submission πŸ“– Project Description The Dynamic Underwriting Agent is an AI-powered system designed to analyze applicant financial data and automate real-time underwriting decisions. Traditional underwriting can be slow and prone to manual errors. This project solves this by evaluating the exact **financial pressure** the applicant is under and isolating the primary **factor impac

Full README

Dynamic Underwriting Agent - Hackathon Submission

πŸ“– Project Description

The Dynamic Underwriting Agent is an AI-powered system designed to analyze applicant financial data and automate real-time underwriting decisions. Traditional underwriting can be slow and prone to manual errors. This project solves this by evaluating the exact financial pressure the applicant is under and isolating the primary factor impacting decision-making. By assessing risk factors like Debt-to-Income (DTI) ratio and Credit Score, the system routes the application appropriately (Approve, Mitigate, or Escalate).

🧩 UiPath Components Used

  • UiPath Maestro: Used for orchestrating the overall workflow and bridging the AI agent with enterprise data.
  • UiPath Studio & Orchestrator: Manages exception cases, cloud queues, and process automation.
  • API Workflows: WebAPI integration for seamless data flow between UiPath and the Python backend.

πŸ€– Agent Type

  • Coded Agents: This solution explicitly utilizes Coded Agents, leveraging a Python backend powered by CrewAI and LangChain to handle complex reasoning, integrated seamlessly into the UiPath ecosystem.

πŸš€ Architecture Overview

  1. Agentic Backend (Python): Utilizes CrewAI to handle complex financial data analysis and decision-making logic.
  2. Automation Layer (UiPath): Fetches exception cases from Orchestrator queues and triggers the Python engine to process the data.

πŸ›  Setup Instructions

Follow these step-by-step instructions to configure and run the solution:

  1. Clone the Repository: git clone https://github.com/93527Rupali38898/Dynamic-Underwriting-Age.git
  2. Navigate to the Backend Directory: cd Dynamic-Underwriting-Age/agentic_backend
  3. Install Python Dependencies: pip install -r requirements.txt
  4. Environment Variables: Create a .env file in the agentic_backend folder and add the necessary API keys for the LLM.
  5. Run the UiPath Project: Open the uipath_maestro_project in UiPath Studio.
  6. Trigger the Workflow: Run the Main.xaml file. This will retrieve the transactional data and automatically trigger the main.py Python engine to output the underwriting decision.

Developed by Rupali Goyal for the UI-PATH Hackathon 2026.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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 & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

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

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

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/crewai-93527rupali38898-dynamic-underwriting-age/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T21:52:47.836Z"
    }
  },
  "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": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "93527rupali38898",
    "href": "https://github.com/93527Rupali38898/Dynamic-Underwriting-Age",
    "sourceUrl": "https://github.com/93527Rupali38898/Dynamic-Underwriting-Age",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:18:11.015Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T18:18:11.015Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-93527rupali38898-dynamic-underwriting-age/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub Β· GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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