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📊 Intel view 📋 Audit JSON 🔄 Changelog
80
A2A A2A 0.3 v1.0.0

DiVinci WhiteLabel AI

divinci.ai · DiVinci AI

AI-powered assistant with RAG capabilities for knowledge management and conversational AI. Supports chat, document search, and knowledge base queries. Requires Bearer token authentication.

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Trust score
51/100
grade D · 9 criteria
Uptime
100.0%
20 direct probes · 30d
~213 ms response
Observed inflow · 30d
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
stable
1 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 51/100
D-grade: significant issues, auth-gated, partially broken, or stale.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
fail Live JSON-RPC 0/25
Card declares a URL but that URL returns 404.
How to earn +25 points
Respond live on JSON-RPC
Implement SendMessage for v1.0 (or message/send for v0.x), negotiate A2A-Version, and return a schema-valid JSON-RPC response. Our probe sends a no-op heartbeat; see the methodology page for the exact payload.
Docs →
partial Protocol version 5/10
Declares pre-1.0 A2A 0.3 (Google preview). Upgrade to v1.x for full points.
How to earn +5 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` 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).
pass Uptime track record 15/15
20/20 probes succeeded (100% uptime).
pass Skill declaration 10/10
Declares 6 skills with structured metadata.
partial Verified Identity 5/10
Provider declared: DiVinci AI (https://divinci.ai). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
partial Security declaration 2/5
Declares 1 security scheme(s) but none use PKCE or mTLS.
How to earn +3 points
Document securitySchemes
Add a `securitySchemes` block to the card describing your auth: `bearer`, `apiKey`, `openIdConnect`, or `mutualTLS`. Routers refuse to call agents that declare no auth model.
Docs →

Activity (audit trail)

last 24h · 0 invocations Public aggregate · no PII recorded

Nothing 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.

Card history

1 snapshot Every change to agent-card.json
Captured Hash
2026-08-08 11:46:59 current 5c3668dc897f… view →
Uptime
100.0%
20 direct probes · 30d
Response
43ms
last direct probe
Skills
6
declared
Streaming
SSE-capable

Endpoints

Agent cardhttps://divinci.ai/.well-known/agent-card.json
Providerhttps://divinci.ai
Docshttps://mcp.divinci.app/info
Discovered via
github_code recrawl_hot

Skills · 6 declared · mapped to canonical taxonomy

Send Message

Send a message to the AI assistant and receive a response

canonical Slack Messaging match 85%
chatconversationai
Get Transcript

Retrieve a specific conversation transcript by ID

canonical Audio Transcription match 87%
transcripthistory
List Transcripts

List available conversation transcripts

canonical Audio Transcription match 86%
transcripthistory
Search Knowledge

Semantic search across a configured knowledge base

canonical Semantic Code Search match 88%
ragsearchknowledge
List Data Sources

List the knowledge bases available to the caller

canonical Knowledge Base Operations match 85%
ragknowledge
Get Document

Retrieve a single document from a knowledge base

canonical Document Summarization match 85%
ragknowledge

Health · last 20 probes

When HTTP Live JSON-RPC Latency
2026-08-19 11:54:45 200 43ms
2026-08-18 21:08:13 200 48ms
2026-08-18 10:20:40 200 64ms
2026-08-17 17:33:12 200 31ms
2026-08-16 21:39:31 200 49ms
2026-08-16 09:57:33 200 57ms
2026-08-16 08:33:49 200 48ms
2026-08-15 09:46:06 200 99ms
2026-08-15 03:20:46 200 50ms
2026-08-14 13:24:27 200 52ms

Cheaper or better alternatives per-skill

↑ 5 higher quality

For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor. Only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.

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Embed your Agenstry badge

Paste any of these into your README, agent card, or marketing page. Each badge auto-updates and links back to this page.

Agenstry grade Uptime A2A protocol version
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/divinci.ai.svg)](https://agenstry.com/agents/divinci.ai)
[![Verified Business](https://agenstry.com/badge/divinci.ai/identity.svg)](https://agenstry.com/agents/divinci.ai)
[![Uptime](https://agenstry.com/badge/divinci.ai/uptime.svg)](https://agenstry.com/agents/divinci.ai)
[![A2A version](https://agenstry.com/badge/divinci.ai/protocol.svg)](https://agenstry.com/agents/divinci.ai)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON
{
  "name": "DiVinci WhiteLabel AI",
  "description": "AI-powered assistant with RAG capabilities for knowledge management and conversational AI. Supports chat, document search, and knowledge base queries. Requires Bearer token authentication.",
  "url": "https://mcp.divinci.app",
  "protocolVersion": "0.3",
  "provider": {
    "organization": "DiVinci AI",
    "url": "https://divinci.ai"
  },
  "version": "1.0.0",
  "documentationUrl": "https://mcp.divinci.app/info",
  "supportedInterfaces": [
    {
      "url": "https://mcp.divinci.app/a2a",
      "transport": "JSONRPC"
    },
    {
      "url": "https://mcp.divinci.app/mcp",
      "transport": "HTTP+MCP"
    }
  ],
  "capabilities": {
    "streaming": true,
    "pushNotifications": false,
    "stateTransitionHistory": true,
    "extensions": []
  },
  "securitySchemes": {
    "oauth2": {
      "type": "oauth2",
      "description": "OAuth 2.1 authorization code + PKCE against mcp.divinci.app.",
      "flows": {
        "authorizationCode": {
          "authorizationUrl": "https://mcp.divinci.app/authorize",
          "tokenUrl": "https://mcp.divinci.app/token",
          "scopes": {
            "chat:read": "Read conversations and transcripts",
            "chat:write": "Send messages to an assistant",
            "rag:read": "Query knowledge bases",
            "rag:write": "Add documents to knowledge bases"
          }
        }
      }
    }
  },
  "security": [
    {
      "oauth2": [
        "chat:read",
        "chat:write",
        "rag:read"
      ]
    }
  ],
  "defaultInputModes": [
    "text"
  ],
  "defaultOutputModes": [
    "text"
  ],
  "skills": [
    {
      "id": "send_message",
      "name": "Send Message",
      "description": "Send a message to the AI assistant and receive a response",
      "tags": [
        "chat",
        "conversation",
        "ai"
      ],
      "examples": [
        "What is machine learning?",
        "Explain quantum computing"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "get_transcript",
      "name": "Get Transcript",
      "description": "Retrieve a specific conversation transcript by ID",
      "tags": [
        "transcript",
        "history"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "list_transcripts",
      "name": "List Transcripts",
      "description": "List available conversation transcripts",
      "tags": [
        "transcript",
        "history"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "search_knowledge",
      "name": "Search Knowledge",
      "description": "Semantic search across a configured knowledge base",
      "tags": [
        "rag",
        "search",
        "knowledge"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "list_data_sources",
      "name": "List Data Sources",
      "description": "List the knowledge bases available to the caller",
      "tags": [
        "rag",
        "knowledge"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "get_document",
      "name": "Get Document",
      "description": "Retrieve a single document from a knowledge base",
      "tags": [
        "rag",
        "knowledge"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    }
  ]
}