40
A2A
Triage insurance claims with Jev, DeepSeek, Slack, Gmail, and Google Sheets
n8n-workflow-19969.n8n.io
· n8n.io
Quick overview This workflow receives insurance claims via webhook, checks prior claimant history in Google Sheets, uses Jev Router to classify claim type and risk, routes uncertain or risky cases to Slack for human approval, calculates a suggested payout with DeepSeek, emails the customer and logs outcomes back to Google Sheets. How it works 1. Receives a POST webhook submission containing claim details (claimant name, email, description, amount, and attachment count). 2. Looks up the claimant in a Google Sheets “Claims” tab to count prior claims and appends that context to the claim summary text. 3. Sends the enriched claim text to Jev Router to classify claim type, score severity, and estimate fraud risk and customer distress with confidence values. 4. Routes the claim to auto-processing or to human review based on fraud risk, low model confidence, high severity, or a high claimed amount. 5. For review cases, drafts an internal reviewer briefing with DeepSeek, posts it to Slack with
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Trust score
19/100
grade F · 9 criteria
Uptime
not measured
no direct probes in 30d
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
changed
0 snapshots tracked
Owner
unverified
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Dispute or improve this rating
F
Conformance score: 19/100
F-grade: card is reachable but fails most operational signals.
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F
Conformance score: 19/100
F-grade: card is reachable but fails most operational signals.
pass
Valid AgentCard
10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
info
Live JSON-RPC
0/25
Live probe hasn't run yet.
fail
Protocol version
0/10
No protocolVersion in card.
How to earn +10 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` (Major.Minor, no patch number — §3.6) to every entry in `supportedInterfaces[]`. A2A v1.0 removed the AgentCard root field.
Docs →
info
JWS signature
0/10
Card is unsigned (most published agents are).
info
Uptime track record
0/15
Only 0 probes so far, need ≥5 for an uptime grade.
fail
Skill declaration
0/10
No skills declared in card. Hard to route to.
How to earn +10 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags` — `description` and `tags` are REQUIRED on AgentSkill since A2A v1.0, and tags are what discovery filters match on. We canonicalise these into the global skill taxonomy on next probe.
Docs →
partial
Verified Identity
5/10
Provider declared: n8n.io (https://n8n.io). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
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Verify your domain ownership
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Freshness + modern flags
4/5
seen in upstream source within 0d
info
Security declaration
0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.
⚠ Card drift detected. This agent's
agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
Uptime
not measured
0 direct probes · 30d
Response
—
no direct probe retained
Skills
0
declared
Streaming
—
SSE-capable
Endpoints
| Agent card | https://n8n.io/workflows/19969 |
| Provider | https://n8n.io |
| Docs | https://n8n.io/workflows/19969 |
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Raw agent card JSON
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"icon": "file:code.svg",
"name": "n8n-nodes-base.code",
"codex": {
"data": {
"alias": [
"cpde",
"Javascript",
"JS",
"Python",
"Script",
"Custom Code",
"Function"
],
"details": "The Code node allows you to execute JavaScript in your workflow.",
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
}
]
},
"categories": [
"Development",
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers",
"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Code"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Code",
"typeVersion": 2,
"nodeCategories": [
{
"id": 5,
"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1119,
"icon": "fa:robot",
"name": "@n8n/n8n-nodes-langchain.agent",
"codex": {
"data": {
"alias": [
"LangChain",
"Chat",
"Conversational",
"Plan and Execute",
"ReAct",
"Tools"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Agents",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "AI Agent",
"color": "#404040"
},
"iconData": {
"icon": "robot",
"type": "icon"
},
"displayName": "AI Agent",
"typeVersion": 3,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1123,
"icon": "fa:link",
"name": "@n8n/n8n-nodes-langchain.chainLlm",
"codex": {
"data": {
"alias": [
"LangChain"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Chains",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Basic LLM Chain",
"color": "#909298"
},
"iconData": {
"icon": "link",
"type": "icon"
},
"displayName": "Basic LLM Chain",
"typeVersion": 2,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1195,
"icon": "fa:calculator",
"name": "@n8n/n8n-nodes-langchain.toolCalculator",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolcalculator/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Tools"
],
"Tools": [
"Other Tools"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Calculator"
},
"iconData": {
"icon": "calculator",
"type": "icon"
},
"displayName": "Calculator",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1280,
"icon": "file:deepseek.svg",
"name": "@n8n/n8n-nodes-langchain.lmChatDeepSeek",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatdeepseek/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Language Models",
"Root Nodes"
],
"Language Models": [
"Chat Models (Recommended)"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "DeepSeek Chat Model"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "DeepSeek Chat Model",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
}
]
},
"detail": {
"description": "Quick overview This workflow receives insurance claims via webhook, checks prior claimant history in Google Sheets, uses Jev Router to classify claim type and risk, routes uncertain or risky cases to Slack for human approval, calculates a suggested payout with DeepSeek, emails the customer and logs outcomes back to Google Sheets. How it works 1. Receives a POST webhook submission containing claim details (claimant name, email, description, amount, and attachment count). 2. Looks up the claimant in a Google Sheets \u201cClaims\u201d tab to count prior claims and appends that context to the claim summary text. 3. Sends the enriched claim text to Jev Router to classify claim type, score severity, and estimate fraud risk and customer distress with confidence values. 4. Routes the claim to auto-processing or to human review based on fraud risk, low model confidence, high severity, or a high claimed amount. 5. For review cases, drafts an internal reviewer briefing with DeepSeek, posts it to Slack with approve/reject buttons, and records the reviewer\u2019s decision. 6. For approved claims (auto-approved or reviewer-approved), uses a DeepSeek-powered agent with a calculator tool to compute a suggested payout and drafts a short acknowledgment email. 7. Sends the email via Gmail and appends the claim details, scores, confidence values, status, and timestamps to Google Sheets for an audit trail. Setup 1. Create a webhook source that can POST JSON to the workflow\u2019s \u201cinsurance-claim\u201d webhook URL and ensure it sends claimantname, claimantemail, description, amount, and attachmentscount. 2. Connect Google Sheets OAuth credentials and update the spreadsheet ID/sheet name if needed, and ensure the \u201cClaims\u201d sheet includes the columns used for lookup and logging (for example: claimant, claimtext, amount, claimtype, severityscore, fraudriskprobability, customertoneprobability, status, timestamp). 3. Install and configure the n8n-nodes-jev-router community node and add your Jev API credentials. 4. Add Slack credentials, set the target channel for reviewer approvals, and ensure the bot can post messages and use interactive approvals. 5. Add DeepSeek API credentials for the LLM steps and connect Gmail OAuth2 credentials, then replace the hard-coded recipient email address in the Gmail step with the claimant\u2019s email if desired."
}
}