extract-commercial-lease-data
Extracts structured business terms from commercial lease agreements.
Install
mkdir -p .claude/skills/extract-commercial-lease-data && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14344" && unzip -o skill.zip -d .claude/skills/extract-commercial-lease-data && rm skill.zipInstalls to .claude/skills/extract-commercial-lease-data
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Extract parties, premises, lease term, rent, escalation, deposit, options, and expense obligations from commercial leases.Key capabilities
- →Extract landlord and tenant names from commercial leases
- →Extract premises address and description
- →Extract lease start and end dates
- →Extract base rent, frequency, and escalation terms
- →Extract security deposit, permitted use, renewal options, and expense obligations
How it works
The skill uses the Iteration Layer Document Extraction API to parse commercial lease documents. It sends the document to the API with a defined schema for fields like landlord name, rent, and lease terms, then receives the extracted structured data.
Inputs & outputs
When to use extract-commercial-lease-data
- →Extracting lease escalation terms
- →Digitizing commercial lease data
- →Auditing lease business terms
About this skill
Extract Commercial Lease Data
Real estate teams use this recipe to extract commercial lease business terms into structured records for lease administration, diligence, and portfolio systems.
APIs Used
Document Extraction (1 credit per page)
Prerequisites
You need an Iteration Layer API key. Get one at platform.iterationlayer.com during the 7-day trial.
For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.
Implementation
curl -X POST https://api.iterationlayer.com/document-extraction/v1/extract \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"files": [
{
"type": "url",
"name": "commercial-lease.pdf",
"url": "https://example.com/documents/commercial-lease-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "landlord_name",
"type": "TEXT",
"description": "Landlord or lessor name"
},
{
"name": "tenant_name",
"type": "TEXT",
"description": "Tenant or lessee name"
},
{
"name": "premises_address",
"type": "ADDRESS",
"description": "Leased premises address"
},
{
"name": "premises_description",
"type": "TEXT",
"description": "Suite, unit, rentable area, or premises description"
},
{
"name": "lease_start_date",
"type": "DATE",
"description": "Lease commencement date"
},
{
"name": "lease_end_date",
"type": "DATE",
"description": "Lease expiration date"
},
{
"name": "base_rent",
"type": "CURRENCY_AMOUNT",
"description": "Base rent amount"
},
{
"name": "rent_frequency",
"type": "TEXT",
"description": "Rent frequency such as monthly or annually"
},
{
"name": "rent_escalation",
"type": "TEXT",
"description": "Rent escalation or review terms"
},
{
"name": "security_deposit",
"type": "CURRENCY_AMOUNT",
"description": "Security deposit"
},
{
"name": "permitted_use",
"type": "TEXT",
"description": "Permitted use"
},
{
"name": "renewal_options",
"type": "TEXT",
"description": "Renewal option terms"
},
{
"name": "expense_obligations",
"type": "TEXT",
"description": "CAM, tax, insurance, or service charge obligations"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
"files": [
{
"type": "url",
"name": "commercial-lease.pdf",
"url": "https://example.com/documents/commercial-lease-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "landlord_name",
"type": "TEXT",
"description": "Landlord or lessor name"
},
{
"name": "tenant_name",
"type": "TEXT",
"description": "Tenant or lessee name"
},
{
"name": "premises_address",
"type": "ADDRESS",
"description": "Leased premises address"
},
{
"name": "premises_description",
"type": "TEXT",
"description": "Suite, unit, rentable area, or premises description"
},
{
"name": "lease_start_date",
"type": "DATE",
"description": "Lease commencement date"
},
{
"name": "lease_end_date",
"type": "DATE",
"description": "Lease expiration date"
},
{
"name": "base_rent",
"type": "CURRENCY_AMOUNT",
"description": "Base rent amount"
},
{
"name": "rent_frequency",
"type": "TEXT",
"description": "Rent frequency such as monthly or annually"
},
{
"name": "rent_escalation",
"type": "TEXT",
"description": "Rent escalation or review terms"
},
{
"name": "security_deposit",
"type": "CURRENCY_AMOUNT",
"description": "Security deposit"
},
{
"name": "permitted_use",
"type": "TEXT",
"description": "Permitted use"
},
{
"name": "renewal_options",
"type": "TEXT",
"description": "Renewal option terms"
},
{
"name": "expense_obligations",
"type": "TEXT",
"description": "CAM, tax, insurance, or service charge obligations"
}
]
}
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(**{
"files": [
{
"type": "url",
"name": "commercial-lease.pdf",
"url": "https://example.com/documents/commercial-lease-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "landlord_name",
"type": "TEXT",
"description": "Landlord or lessor name"
},
{
"name": "tenant_name",
"type": "TEXT",
"description": "Tenant or lessee name"
},
{
"name": "premises_address",
"type": "ADDRESS",
"description": "Leased premises address"
},
{
"name": "premises_description",
"type": "TEXT",
"description": "Suite, unit, rentable area, or premises description"
},
{
"name": "lease_start_date",
"type": "DATE",
"description": "Lease commencement date"
},
{
"name": "lease_end_date",
"type": "DATE",
"description": "Lease expiration date"
},
{
"name": "base_rent",
"type": "CURRENCY_AMOUNT",
"description": "Base rent amount"
},
{
"name": "rent_frequency",
"type": "TEXT",
"description": "Rent frequency such as monthly or annually"
},
{
"name": "rent_escalation",
"type": "TEXT",
"description": "Rent escalation or review terms"
},
{
"name": "security_deposit",
"type": "CURRENCY_AMOUNT",
"description": "Security deposit"
},
{
"name": "permitted_use",
"type": "TEXT",
"description": "Permitted use"
},
{
"name": "renewal_options",
"type": "TEXT",
"description": "Renewal option terms"
},
{
"name": "expense_obligations",
"type": "TEXT",
"description": "CAM, tax, insurance, or service charge obligations"
}
]
}
})
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.ExtractDocument(il.ExtractDocumentRequest{
Files: []il.FileInput{
il.FileInput{
Type: "url",
Name: "commercial-lease.pdf",
Url: "https://example.com/documents/commercial-lease-sample.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "landlord_name",
Type: "TEXT",
Description: "Landlord or lessor name",
},
il.TextFieldConfig{
Name: "tenant_name",
Type: "TEXT",
Description: "Tenant or lessee name",
},
il.AddressFieldConfig{
Name: "premises_address",
Type: "ADDRESS",
Description: "Leased premises address",
},
il.TextFieldConfig{
Name: "premises_description",
Type: "TEXT",
Description: "Suite, unit, rentable area, or premises description",
},
il.DateFieldConfig{
Name: "lease_start_date",
Type: "DATE",
Description: "Lease commencement date",
},
il.DateFieldConfig{
Name: "lease_end_date",
Type: "DATE",
Description: "Lease expiration date",
},
il.CurrencyAmountFieldConfig{
Name: "base_rent",
Type: "CURRENCY_AMOUNT",
Description: "Base rent amount",
},
il.TextFieldConfig{
Name: "rent_frequency",
Type: "TEXT",
Description: "Rent frequency such as monthly or annually",
},
il.TextFieldConfig{
Name: "rent_escalation",
Type: "TEXT",
Description: "Rent escalation or review terms",
},
il.CurrencyAmountFieldConfig{
Name: "security_deposit",
Type: "CURRENCY_AMOUNT",
Description: "Security deposit",
},
il.TextFieldConfig{
Name: "permitted_use",
Type: "TEXT",
Description: "Permitted use",
},
il.TextFieldConfig{
Name: "renewal_options",
Type: "TEXT",
Description: "Renewal option terms",
},
il.TextFieldConfig{
Name: "expense_obligations",
Type: "TEXT",
Description: "CAM, tax, insurance, or service charge obligations",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract Commercial Lease Data",
"nodes": [
{
"parameters": {
"content": "## Extract Commercial Lease Data\n\nReal estate teams use this recipe to extract commercial lease business terms into structured records for lease administration, diligence, and portfolio systems.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes on self-hosted n8n, or add it directly on n8n Cloud with Verified Community Nodes enabled.",
"height": 280,
"width": 500,
"color": 2
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
200,
40
],
"id": "extract-commercial-lease-data-overview",
"name": "Overview"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "extract-commercial-lease-data
---
*Content truncated.*
When not to use it
- →When an Iteration Layer API key is not available
- →When the document is not a commercial lease
- →When structured data extraction is not required
Prerequisites
Limitations
- →Requires an Iteration Layer API key
- →Limited to the fields defined in the schema
- →Document Extraction costs 1 credit per page
How it compares
This skill automates the extraction of specific business terms from commercial leases into a structured format, which is more efficient and less error-prone than manual data entry.
Compared to similar skills
extract-commercial-lease-data side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| extract-commercial-lease-data (this skill) | 0 | 2mo | Review | Beginner |
| data-lineage-tracker | 0 | 1mo | No flags | Intermediate |
| policy-qa | 0 | 4mo | Review | Intermediate |
| jurisrank | 0 | 1mo | No flags | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
You might also like
data-lineage-tracker
LeoYeAI
Track data origin, transformations, and flow through construction systems. Essential for audit trails, compliance, and debugging data issues.
policy-qa
aifinlab
面向基金合规与信息披露领域的制度问答任务Skill,围绕「制度问答助手」场景提供信息抽取、结构化分析与结果输出。
jurisrank
lawve-ai
>
compliance-training-eval
aifinlab
用于信托领域合规与运营中的合规培训测评助手场景,支持结构化处理与报告输出。
quant-analyst
zenobi-us
Expert quantitative analyst specializing in financial modeling, algorithmic trading, and risk analytics. Masters statistical methods, derivatives pricing, and high-frequency trading with focus on mathematical rigor, performance optimization, and profitable strategy development.
stock-analyzer
FrancyJGLisboa
Provides comprehensive technical analysis for stocks and ETFs using RSI, MACD, Bollinger Bands, and other indicators. Activates when user requests stock analysis, technical indicators, trading signals, or market data for specific ticker symbols.