Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate a multi-sheet XLSX report tracking API usage, credit consumption, and billing across multiple agency clients.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Agencies reselling API services to multiple clients use this recipe to generate consolidated monthly usage reports — with one sheet per client showing credit consumption, request counts, and billing totals.
Sheet Generation (1 credits/request)
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.
curl -X POST https://api.iterationlayer.com/sheet-generation/v1/generate \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"format": "xlsx",
"sheets": [
{
"name": "Summary",
"columns": [
{
"name": "Client",
"width": 25
},
{
"name": "Plan",
"width": 15
},
{
"name": "Credits Used",
"width": 15
},
{
"name": "Credits Remaining",
"width": 18
},
{
"name": "Requests",
"width": 12
},
{
"name": "Amount Billed",
"width": 16
}
],
"rows": [
[
"Greenfield Organics",
"Professional",
4200,
800,
312,
{
"value": 420.00,
"format": "currency",
"currency_code": "EUR"
}
],
[
"Atlas Logistics",
"Enterprise",
12800,
7200,
891,
{
"value": 1280.00,
"format": "currency",
"currency_code": "EUR"
}
],
[
"Bright Pixel Studios",
"Starter",
850,
150,
64,
{
"value": 85.00,
"format": "currency",
"currency_code": "EUR"
}
]
]
},
{
"name": "Greenfield Organics",
"columns": [
{
"name": "Date",
"width": 14
},
{
"name": "API",
"width": 22
},
{
"name": "Requests",
"width": 12
},
{
"name": "Credits",
"width": 12
},
{
"name": "Status",
"width": 12
}
],
"rows": [
[
{
"value": "2026-03-01",
"format": "date"
},
"Document Extraction",
45,
540,
"Success"
],
[
{
"value": "2026-03-08",
"format": "date"
},
"Document Generation",
28,
336,
"Success"
],
[
{
"value": "2026-03-15",
"format": "date"
},
"Image Generation",
120,
1440,
"Success"
],
[
{
"value": "2026-03-22",
"format": "date"
},
"Document Extraction",
62,
744,
"Success"
],
[
{
"value": "2026-03-29",
"format": "date"
},
"Image Transformation",
57,
1140,
"Success"
]
]
},
{
"name": "Atlas Logistics",
"columns": [
{
"name": "Date",
"width": 14
},
{
"name": "API",
"width": 22
},
{
"name": "Requests",
"width": 12
},
{
"name": "Credits",
"width": 12
},
{
"name": "Status",
"width": 12
}
],
"rows": [
[
{
"value": "2026-03-03",
"format": "date"
},
"Document Extraction",
340,
4080,
"Success"
],
[
{
"value": "2026-03-10",
"format": "date"
},
"Sheet Generation",
180,
2160,
"Success"
],
[
{
"value": "2026-03-17",
"format": "date"
},
"Document to Markdown",
210,
2520,
"Success"
],
[
{
"value": "2026-03-24",
"format": "date"
},
"Document Extraction",
161,
1932,
"Success"
],
[
{
"value": "2026-03-31",
"format": "date"
},
"Document Generation",
0,
0,
"No requests"
]
]
}
]
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const report = await client.generateSheet({
format: "xlsx",
sheets: [
{
name: "Summary",
columns: [
{ name: "Client", width: 25 }, { name: "Plan", width: 15 }, { name: "Credits Used", width: 15 },
{ name: "Credits Remaining", width: 18 }, { name: "Requests", width: 12 }, { name: "Amount Billed", width: 16 },
],
rows: [
["Greenfield Organics", "Professional", 4200, 800, 312, { value: 420.00, format: "currency", currency_code: "EUR" }],
["Atlas Logistics", "Enterprise", 12800, 7200, 891, { value: 1280.00, format: "currency", currency_code: "EUR" }],
["Bright Pixel Studios", "Starter", 850, 150, 64, { value: 85.00, format: "currency", currency_code: "EUR" }],
],
},
{
name: "Greenfield Organics",
columns: [
{ name: "Date", width: 14 }, { name: "API", width: 22 }, { name: "Requests", width: 12 },
{ name: "Credits", width: 12 }, { name: "Status", width: 12 },
],
rows: [
[{ value: "2026-03-01", format: "date" }, "Document Extraction", 45, 540, "Success"],
[{ value: "2026-03-08", format: "date" }, "Document Generation", 28, 336, "Success"],
[{ value: "2026-03-15", format: "date" }, "Image Generation", 120, 1440, "Success"],
],
},
],
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
report = client.generate_sheet(
format="xlsx",
sheets=[
{
"name": "Summary",
"columns": [
{"name": "Client", "width": 25}, {"name": "Plan", "width": 15}, {"name": "Credits Used", "width": 15},
{"name": "Credits Remaining", "width": 18}, {"name": "Requests", "width": 12}, {"name": "Amount Billed", "width": 16},
],
"rows": [
["Greenfield Organics", "Professional", 4200, 800, 312, {"value": 420.00, "format": "currency", "currency_code": "EUR"}],
["Atlas Logistics", "Enterprise", 12800, 7200, 891, {"value": 1280.00, "format": "currency", "currency_code": "EUR"}],
["Bright Pixel Studios", "Starter", 850, 150, 64, {"value": 85.00, "format": "currency", "currency_code": "EUR"}],
],
},
{
"name": "Greenfield Organics",
"columns": [{"name": "Date", "width": 14}, {"name": "API", "width": 22}, {"name": "Requests", "width": 12}, {"name": "Credits", "width": 12}, {"name": "Status", "width": 12}],
"rows": [
[{"value": "2026-03-01", "format": "date"}, "Document Extraction", 45, 540, "Success"],
[{"value": "2026-03-08", "format": "date"}, "Document Generation", 28, 336, "Success"],
],
},
],
)
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
_, err := client.GenerateSheet(il.GenerateSheetRequest{
Format: "xlsx",
Sheets: []il.Sheet{
{
Name: "Summary",
Columns: []il.SheetColumn{
{Name: "Client", Width: 25}, {Name: "Plan", Width: 15}, {Name: "Credits Used", Width: 15},
{Name: "Credits Remaining", Width: 18}, {Name: "Requests", Width: 12}, {Name: "Amount Billed", Width: 16},
},
Rows: [][]il.SheetCell{
{{Value: "Greenfield Organics"}, {Value: "Professional"}, {Value: 4200}, {Value: 800}, {Value: 312}, {Value: 420.00, Format: "currency", CurrencyCode: "EUR"}},
{{Value: "Atlas Logistics"}, {Value: "Enterprise"}, {Value: 12800}, {Value: 7200}, {Value: 891}, {Value: 1280.00, Format: "currency", CurrencyCode: "EUR"}},
},
},
},
})
if err != nil {
panic(err)
}
}
{
"name": "Generate multi-client usage report in Iteration Layer",
"nodes": [
{
"parameters": {
"content": "## Generate a Multi-Client Usage Report\n\nAgencies reselling API services to multiple clients use this recipe to generate consolidated monthly usage reports — with one sheet per client.\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": "e7f8a9b0-c1d2-3456-efab-456789012301",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Generate Report\nResource: **Sheet Generation**\n\nConfigure the Sheet Generation parameters below, then connect your credentials.",
"height": 160,
"width": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [475, 100],
"id": "e7f8a9b0-c1d2-3456-efab-456789012302",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [250, 300],
"id": "e7f8a9b0-c1d2-3456-efab-456789012303",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "sheetGeneration",
"format": "xlsx",
"sheetsJson": "[{\"name\":\"Summary\",\"columns\":[{\"name\":\"Client\",\"width\":25},{\"name\":\"Plan\",\"width\":15},{\"name\":\"Credits Used\",\"width\":15},{\"name\":\"Credits Remaining\",\"width\":18},{\"name\":\"Requests\",\"width\":12},{\"name\":\"Amount Billed\",\"width\":16}],\"rows\":[[\"Greenfield Organics\",\"Professional\",4200,800,312,{\"value\":420.00,\"format\":\"currency\",\"currency_code\":\"EUR\"}],[\"Atlas Logistics\",\"Enterprise\",12800,7200,891,{\"value\":1280.00,\"format\":\"currency\",\"currency_code\":\"EUR\"}]]}]"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [500, 300],
"id": "e7f8a9b0-c1d2-3456-efab-456789012304",
"name": "Generate Usage Report",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Generate Usage Report",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Generate a multi-client usage report for [month/year]. Use the generate_sheet tool to create an XLSX workbook with:
- A "Summary" sheet with columns: Client, Plan, Credits Used, Credits Remaining, Requests, Amount Billed — one row per client
- One detail sheet per client with columns: Date, API, Requests, Credits, Status — showing weekly usage breakdowns
Include realistic data for [number of clients] clients with varied plan tiers.
{
"success": true,
"data": {
"buffer": "UEsDBBQAAAA...",
"mime_type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
}
}
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Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Compress an image to fit within a specific file size in bytes using quality-first compression.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.