DeepRead Insurance Documents

DeepRead Insurance Document Processing

Extract structured data from insurance claims, policy documents, Explanations of Benefits (EOBs), loss reports, and adjuster notes. Then redact claimant PII before sharing with third parties.

> This skill instructs the agent to POST documents to https://api.deepread.tech and poll for results. No system files are modified.

What You Get Back

Submit a claim form and get structured JSON:

{
  "claim_number": {"value": "CLM-2026-078432", "hil_flag": false, "found_on_page": 1},
  "policy_number": {"value": "POL-HO3-445521", "hil_flag": false, "found_on_page": 1},
  "claimant_name": {"value": "Robert Johnson", "hil_flag": false, "found_on_page": 1},
  "date_of_loss": {"value": "2026-02-14", "hil_flag": false, "found_on_page": 1},
  "date_reported": {"value": "2026-02-15", "hil_flag": false, "found_on_page": 1},
  "loss_type": {"value": "Water Damage", "hil_flag": false, "found_on_page": 1},
  "loss_description": {"value": "Burst pipe in basement caused flooding to finished living area, damaged drywall, carpet, and personal property", "hil_flag": false, "found_on_page": 2},
  "property_address": {"value": "789 Elm Dr, Denver, CO 80202", "hil_flag": false, "found_on_page": 1},
  "coverage_type": {"value": "Homeowners HO-3", "hil_flag": false, "found_on_page": 1},
  "deductible": {"value": 1000.00, "hil_flag": false, "found_on_page": 1},
  "estimated_damages": {"value": 24500.00, "hil_flag": true, "reason": "Multiple estimates on different pages"},
  "adjuster": {"value": "Sarah Martinez, License #ADJ-44521", "hil_flag": false, "found_on_page": 3},
  "line_items": {"value": [
    {"category": "Structural", "description": "Drywall replacement — basement", "amount": 8500.00},
    {"category": "Flooring", "description": "Carpet removal and replacement", "amount": 6200.00},
    {"category": "Personal Property", "description": "Damaged furniture and electronics", "amount": 5800.00},
    {"category": "Mitigation", "description": "Water extraction and drying", "amount": 4000.00}
  ], "hil_flag": false, "found_on_page": 3},
  "status": {"value": "Under Review", "hil_flag": false, "found_on_page": 1}
}

Fields with hil_flag: true need human review. Everything else is high-confidence.

Setup

Get Your API Key

open "https://www.deepread.tech/dashboard/?utm_source=clawhub"

Save it:

export DEEPREAD_API_KEY="sk_live_your_key_here"

Insurance Claim Schema

Pre-built schema for insurance claims and loss reports:

{
  "type": "object",
  "properties": {
    "claim_number": {"type": "string", "description": "Claim number or reference ID"},
    "policy_number": {"type": "string", "description": "Insurance policy number"},
    "claimant_name": {"type": "string", "description": "Name of the claimant or insured"},
    "date_of_loss": {"type": "string", "description": "Date the loss or incident occurred (YYYY-MM-DD)"},
    "date_reported": {"type": "string", "description": "Date the claim was reported (YYYY-MM-DD)"},
    "loss_type": {"type": "string", "description": "Type of loss (Water Damage, Fire, Theft, Auto Collision, Liability, etc.)"},
    "loss_description": {"type": "string", "description": "Detailed description of the loss or incident"},
    "property_address": {"type": "string", "description": "Address of the property or location of incident"},
    "coverage_type": {"type": "string", "description": "Type of coverage (Homeowners, Auto, Commercial, Liability, etc.)"},
    "deductible": {"type": "number", "description": "Policy deductible amount"},
    "estimated_damages": {"type": "number", "description": "Total estimated damage amount"},
    "adjuster": {"type": "string", "description": "Claims adjuster name and license number"},
    "line_items": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "category": {"type": "string", "description": "Damage category (Structural, Personal Property, Medical, etc.)"},
          "description": {"type": "string", "description": "Description of damage or expense"},
          "amount": {"type": "number", "description": "Cost or estimate amount"}
        }
      },
      "description": "Itemized list of damages or expenses"
    },
    "status": {"type": "string", "description": "Claim status (Filed, Under Review, Approved, Denied, Settled)"},
    "settlement_amount": {"type": "number", "description": "Final settlement amount if resolved"},
    "denial_reason": {"type": "string", "description": "Reason for denial if applicable"}
  }
}

Extract Data From Insurance Documents

Python

import requests
import json
import time
API_KEY = "sk_live_YOUR_KEY"
BASE = "https://api.deepread.tech"
headers = {"X-API-Key": API_KEY}
schema = json.dumps({
    "type": "object",
    "properties": {
        "claim_number": {"type": "string", "description": "Claim number"},
        "policy_number": {"type": "string", "description": "Policy number"},
        "claimant_name": {"type": "string", "description": "Claimant name"},
        "date_of_loss": {"type": "string", "description": "Date of loss (YYYY-MM-DD)"},
        "loss_type": {"type": "string", "description": "Type of loss"},
        "loss_description": {"type": "string", "description": "Description of the loss"},
        "coverage_type": {"type": "string", "description": "Coverage type"},
        "deductible": {"type": "number", "description": "Deductible amount"},
        "estimated_damages": {"type": "number", "description": "Total estimated damages"},
        "line_items": {
            "type": "array",
            "items": {"type": "object", "properties": {
                "category": {"type": "string"},
                "description": {"type": "string"},
                "amount": {"type": "number"}
            }},
            "description": "Itemized damages"
        },
        "status": {"type": "string", "description": "Claim status"}
    }
})
with open("claim.pdf", "rb") as f:
    job = requests.post(
        f"{BASE}/v1/process",
        headers=headers,
        files={"file": f},
        data={"schema": schema},
    ).json()
job_id = job["id"]
print(f"Processing: {job_id}")
delay = 5
while True:
    time.sleep(delay)
    result = requests.get(f"{BASE}/v1/jobs/{job_id}", headers=headers).json()
    if result["status"] == "completed":
        data = result["result"]["data"]
        print(json.dumps(data, indent=2))
        for field, value in data.items():
            if isinstance(value, dict) and value.get("hil_flag"):
                print(f"\n  REVIEW: {field} — {value.get('reason')}")
        break
    elif result["status"] == "failed":
        print(f"Failed: {result.get('error')}")
        break
    delay = min(delay * 1.5, 15)

cURL

curl -s -X POST https://api.deepread.tech/v1/process \
  -H "X-API-Key: $DEEPREAD_API_KEY" \
  -F "file=@claim.pdf" \
  -F 'schema={"type":"object","properties":{"claim_number":{"type":"string","description":"Claim number"},"policy_number":{"type":"string","description":"Policy number"},"claimant_name":{"type":"string","description":"Claimant name"},"date_of_loss":{"type":"string","description":"Date of loss"},"loss_type":{"type":"string","description":"Type of loss"},"estimated_damages":{"type":"number","description":"Total damages"},"status":{"type":"string","description":"Claim status"}}}'

Redact Claimant PII Before Sharing

Redact claimant personal information before sending to adjusters, contractors, or third-party reviewers:

# Step 1: Extract the claim data you need
with open("claim.pdf", "rb") as f:
    extract_job = requests.post(
        f"{BASE}/v1/process",
        headers=headers,
        files={"file": f},
        data={"schema": schema},
    ).json()
Step 2: Redact PII from the original
with open("claim.pdf", "rb") as f:
    redact_job = requests.post(
        f"{BASE}/v1/pii/redact",
        headers=headers,
        files={"file": f},
    ).json()
redact_id = redact_job["id"]
delay = 5
while True:
    time.sleep(delay)
    result = requests.get(f"{BASE}/v1/pii/{redact_id}", headers=headers).json()
    if result["status"] == "completed":
        report = result["report"]
        print(f"Redacted {report['total_redactions']} PII instances")
        for pii_type, info in report["pii_detected"].items():
            print(f"  {pii_type}: {info['count']} found")
        pdf = requests.get(result["redacted_file_url"]).content
        with open("claim_redacted.pdf", "wb") as f:
            f.write(pdf)
        print("Saved: claim_redacted.pdf")
        break
    elif result["status"] == "failed":
        print(f"Failed: {result.get('error')}")
        break
    delay = min(delay * 1.5, 15)

Use Cases

Tips for Insurance Documents

BYOK — Zero Processing Costs

Connect your own OpenAI, Google, or OpenRouter key via the dashboard. All document processing routes through your provider — zero DeepRead LLM costs, page quota skipped.

Set it up: https://www.deepread.tech/dashboard/byok

Related DeepRead Skills

Support

Get started free: https://www.deepread.tech/dashboard/?utm_source=clawhub

Get Your API Key

open "https://www.deepread.tech/dashboard/?utm_source=clawhub"

Save it:

export DEEPREAD_API_KEY="sk_live_your_key_here"