Cradl AI Integrations
Put Cradl AI to work with AI and enterprise-grade automation
Google for Startups AcceleratorNo Cradl AI connector? The Agent builds one.
Web search for Cradl AI's public API docs, or hand over your own — either way, the Agent researches the real API surface and ships a working connector.
Try Knit FreeNot a block library. Real code.
Legacy automation tools like Zapier, Workato, and Make hand you a fixed library of pre-built steps to drag, drop, and configure around the edges. Knit's Integrations Agent writes real, custom Cradl AI integration code for your exact logic.
Legacy iPaaS
- Fixed library of pre-built steps — drag, drop, configure around the edges
- Capped by whatever the vendor's already built
- AI features bolted on after the fact
Knit Integrations Agent
- Real, inspectable code for your exact Cradl AI logic
- Auto-builds a missing Cradl AI connector itself
- Native LLM connectors built in, not bolted on
from knit import Knit
client = Knit(api_key=KNIT_API_KEY)
@client.on("extracted-data-from-document")
def post_document_for_extraction(event):
return client.ai_document_extraction.post_document_for_extraction(
integration_id=CRADL_AI_INTEGRATION_ID,
record_id=event["id"],
fields={
"source": "Cradl AI",
"synced_at": event["updated_at"],
},
# ...maps the event to a real "Post Document for Extraction" call
)
Example: illustrative of what the Agent generates from a plain-English prompt — real, inspectable, and yours to edit.
Skip the engineering. Ship the workflows.
See what you can build with Cradl AI on Knit
See the APIs & webhooks enabling Cradl AI Integrations
The real endpoints Knit's Agent can call to turn a plain-English use case into working Cradl AI Integration code
Triggers when an Agent Run is completed.
Send a Document to a Cradl Agent for processing. This action creates an Agent Run in Cradl.
Extract data from a Document. This action creates an Agent Run in Cradl and waits for the Run to complete.
Other AI Document Extraction Connectors
DigiParser
DigiParser is an artificial intelligence tool that automatically extracts structured data from unstructured documents, PDFs, and images.
Rossum
Rossum is an AI-powered document processing platform that automatically extracts and parses data from business invoices and documents.
Parsio
Parsio is an automated document parsing tool that uses artificial intelligence to extract structured data from emails and PDF files.
Mindee OCR
Mindee OCR is a document parsing tool that uses artificial intelligence to extract data from invoices, receipts, and documents.
Airparser
An AI-powered document parser that automatically extracts structured data from emails, PDFs, and unstructured documents.
Algodocs
An AI-powered document parsing software that extracts structured data from PDFs, scanned images, and invoices.
Extracta.ai
An artificial intelligence data extraction tool that parses unstructured documents and images into structured business data.
AI Textraction
AI Textraction is an AI-powered document extraction application designed to extract structured text and data from digital files.
Enterprise-grade security
Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about the Cradl AI automation
Is there a pre-built Cradl AI automation?
Not yet — Cradl AI isn't in Knit's Unified API or MCP Servers catalog today, so there's no pre-built connector for it either. The Integrations Agent can build the real automation (and the connector powering it) on demand instead of you waiting on our roadmap.
How does the Agent actually build the Cradl AI connector?
It researches Cradl AI's real public API documentation — authentication, endpoints, data schema — and writes a working connector against that real surface. You can also upload your own docs if Cradl AI's aren't public.
How long does it take?
Minutes to build a first working version, not weeks — you test it against real Cradl AI data before it goes anywhere near production.
What happens after the Agent builds it?
You own it. It runs the same way any Knit-built connector does — you are not left maintaining hand-rolled integration code yourself.
Could Cradl AI become a real pre-built connector later?
Yes — as apps get built and used through the Agent, the highest-demand ones are natural candidates to join the pre-built Unified API/MCP Servers catalog directly.