DeepRead Insurance is a high-accuracy AI skill designed to extract structured data from complex insurance documents and redact sensitive PII.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deepread-insurance
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install deepread-insurance using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is DeepRead Insurance Document Processing?
DeepRead Insurance empowers developers to transform unstructured insurance documents—including claims, policies, Explanations of Benefits (EOBs), and loss reports—into clean, actionable JSON data. This skill for Openclaw Skills leverages advanced AI vision and OCR to identify key fields like claim numbers, deductibles, and line-item estimates with over 97% accuracy.
Beyond extraction, it provides built-in PII redaction, ensuring that sensitive claimant information is handled securely before being shared with third-party adjusters or legal teams. It is a vital tool for insurance tech stacks requiring reliable, automated document understanding at scale.
DeepRead Insurance Document Processing Use Cases
- Claims Processing: Automate the extraction of dates, damage descriptions, and claim amounts from incoming paperwork.
- Policy Analysis: Pull specific coverage terms, limits, and exclusions directly from policy documents.
- EOB Processing: Parse procedure codes and patient responsibility from Explanations of Benefits.
- Fraud Detection: Identify inconsistencies in dates or damage descriptions across batch-processed claims.
- Subrogation: Streamline the recovery process by extracting third-party liability info and recovery amounts.
How DeepRead Insurance Document Processing Works
- The document is uploaded to the DeepRead API via a POST request along with a specific insurance schema.
- The AI processes the document, identifying fields and calculating a confidence score for each value.
- Users can optionally trigger the PII redaction endpoint to mask sensitive personal information.
- The agent polls the job status until completion, receiving a structured JSON response.
- Any fields marked with a human-in-the-loop flag (hil_flag) are highlighted for manual verification.
DeepRead Insurance Document Processing Setup
To get started with this skill for Openclaw Skills, you first need to obtain an API key from the DeepRead dashboard. Once you have your key, configure your environment:
export DEEPREAD_API_KEY="sk_live_your_key_here"
You can then integrate the skill into your workflow using Python or cURL to process your claim files.
DeepRead Insurance Document Processing Data Schema & Taxonomy
The skill uses a predefined schema to organize insurance-specific metadata. Data is returned in a structured format containing values and human-in-the-loop (HIL) flags:
| Field | Type | Description |
|---|---|---|
| claim_number | string | Unique reference ID for the claim. |
| policy_number | string | The associated insurance policy identifier. |
| loss_description | string | Detailed narrative of the incident or damage. |
| estimated_damages | number | Total calculated cost of the loss. |
| line_items | array | Itemized list of specific damage categories and amounts. |
| hil_flag | boolean | Indicates if the field requires human review. |
DeepRead Insurance Document Processing Advanced Features
- Bring Your Own Key (BYOK): Connect your own LLM providers (OpenAI, Google, etc.) via the dashboard to eliminate DeepRead LLM costs.
- Automated PII Redaction: Built-in capability to detect and mask claimant personal information for compliant document sharing.
- Custom Blueprints: Train the AI on recurring carrier-specific forms to increase accuracy by up to 30%.
- Human-in-the-Loop (HIL): Automatic flagging of low-confidence data for manual auditing and verification.
SKILL.md
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