Data Discrepancy Resolver Agent

Agent ID: data-discrepancy-resolver-agent

Agent Overview

Manages the resolution of data discrepancies.

Task Description:

Handles data discrepancy reports. May attempt automated corrections, flag for manual review, or initiate re-ingestion/re-formatting requests.

Reusability:

Reusable Component

Agent Type:

Simple AI (Prompt-driven)

Implementation Notes:

Uses simple rules or AI to suggest corrections. For severe issues, flags for human intervention (simulated).

Supporting Teams

Teams responsible for the continuous improvement and monitoring of this agent's efficacy.

Data Governance Council

Workflow Operations

Interaction & Capabilities (A2A)

Information relevant for Agent-to-Agent communication and skill definition.

Identity (Core A2A):

Name: Data Discrepancy Resolver Agent
Unique ID: data-discrepancy-resolver-agent

Primary Function (A2A):

Handles data discrepancy reports. May attempt automated corrections, flag for manual review, or initiate re-ingestion/re-formatting requests.

Defined Agent Skills (A2A Interface):

Skill Orchestration & Execution

The operational logic for this agent, including the invocation and management of its defined skills, is handled by the backend system's orchestration layer. This layer is responsible for the agent's execution sequence, data handling according to its skill schemas, and any necessary interactions with tools or external services. The specific method (e.g., AI model call, deterministic code execution) is detailed in the 'Implementation Notes' within the Agent Overview.

Agent Card JSON (Definition)

The raw JSON representation of this agent's definition, including its skills and evaluation metrics.

{
  "id": "data-discrepancy-resolver-agent",
  "name": "Data Discrepancy Resolver Agent",
  "description": "Manages the resolution of data discrepancies.",
  "isReusable": true,
  "taskDescription": "Handles data discrepancy reports. May attempt automated corrections, flag for manual review, or initiate re-ingestion/re-formatting requests.",
  "icon": {
    "displayName": "CircleAlert"
  },
  "agentType": "ai-simple",
  "implementationNotes": "Uses simple rules or AI to suggest corrections. For severe issues, flags for human intervention (simulated).",
  "responsibleTeamIds": [
    "team-data-governance",
    "team-workflow-ops"
  ],
  "skills": [
    {
      "id": "resolve-discrepancies",
      "name": "Resolve Data Discrepancies",
      "description": "Attempts to resolve or route data discrepancies.",
      "inputSchemaExample": "{\n  \"properties\": {\n    \"discrepancyReportId\": {\n      \"type\": \"string\"\n    },\n    \"originalDataBundleId\": {\n      \"type\": \"string\"\n    }\n  }\n}",
      "outputSchemaExample": "{\n  \"properties\": {\n    \"resolutionStatus\": {\n      \"type\": \"string\",\n      \"enum\": [\n        \"ResolvedAutomatically\",\n        \"SentToManualReview\",\n        \"Unresolvable\"\n      ]\n    },\n    \"correctedDataBundleId\": {\n      \"type\": \"string\",\n      \"optional\": true\n    }\n  }\n}"
    }
  ],
  "inputs": [
    "gds-discrepancy-report"
  ],
  "outputs": [
    "gds-resolved-kyc-bundle",
    "gds-resolved-vendor-data",
    "gds-resolved-credit-data",
    "gds-unresolved-discrepancy"
  ]
}