Carbon Emission Calculator API
API Endpoint Specifications
- Endpoint Path: /api/1/carbon-emission-calculator
- Type of Data: JSON & 5/minute
- Data Source: BUYFROMLO
- Request Limit: 500 request/month
- Script & Integration: Code to integrate with cURL, JS, Python, Ruby, Php, Node.js, Java, .NET, Rust, Go, Typescript
Carbon Emission Calculator API Endpoint Basic Info
API Endpoint Path
required
Carbon Emission Calculator API
/api/1/carbon-emission-calculator
Call Method
Required
POST
Type of Data Return
JSON
Output structured JSON data on AI SEO Schema
Available API Arguments & Parameters
token
required
BUYFROMLO API token. Subscription API is available on /api/3/seo-schema, and accessible to on-site APP on /app/3/seo-schema as well
rootkeyword
required
Enter the raw content for AI writing. Max.content character ceiling is 2,000
role
required
Enter who writes the schema, such as product specialist, SEO expert, etc
type
required
Select the type of schema. Current available options: FAQ, product snippet
language
Optional
Input the language iso-code, Currently API provides 4 language, which are en, ja, zh-cn, zh-tw. The default language is en
llmversion
Optional
Current avalable model are OpenAI GPT, Palm, Gemini, Llama & Claude
apikey
Optional
Free trial API is required to input a LLM api key. Current available model for free trial user account is OpenAI GPT.
context_materials
Optional
Submit context materials information. Max. language characters is up to 8000
Carbon Emission Calculator API
/api/1/carbon-emission-calculator
Code Integration and Response
Python Code Sample
import requests
apiendpoint = "https://api.buyfromlo.com/api/3/seo-schema"
## Required Arguments & Parameters ##
token = "your buyfromlo token"
originalContent = ""
type = ""
## Optional ##
language = ""
headers={"Authorization": "Bearer " + token}
## Call the api ##
response = requests.post(
apiendpoint,
json={
"originalContent":originalContent,
"type":type,
"language":language
}, headers= headers
)
print(response.status_code)
print(response.json())
JSON Response Sample
{
"schema content response"
}