For Agents
Trigger document-processing agents on Cradl AI to extract structured data from invoices, receipts, and forms. Use when an agent needs human-in-the-loop document automation rather than raw OCR.
Get started with Cradl AI API in minutes using your preferred integration method.
# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
"jentic": {
"url": "https://api.jentic.com/mcp",
"auth": "oauth"
}
}
# Then ask your agent:
"extract structured data from an invoice with cradl"
# → Jentic returns the GET /events tool with parameter schema, agent executes.What an agent can do with Cradl AI API API.
List configured Cradl document-processing agents available in the workspace
Submit a document run to a specific agent and receive structured extracted fields
Upload documents into Cradl for downstream extraction or training data collection
Authenticate via OAuth 2.0 client credentials with scoped service-to-service tokens
GET STARTED
Use for: Run a Cradl agent on this scanned invoice, Extract line items from a purchase order PDF, List the document-processing agents in my Cradl workspace, Upload a batch of receipts to Cradl for processing
Not supported: Does not handle raw image OCR without an agent context, document storage as a CMS, or e-signature workflows — use for AI document extraction with configured agents only.
Jentic publishes the only available OpenAPI document for Cradl AI API, keeping it validated and agent-ready.
Jentic publishes the only available OpenAPI specification for Cradl AI API, keeping it validated and agent-ready. Cradl AI lets teams build AI agents that automate document-heavy workflows such as invoice ingestion, purchase order processing, and KYC document review. The API exposes operations for listing configured agents, kicking off a run by submitting a document, and creating documents in the platform for downstream extraction. Authentication is via OAuth 2.0 client credentials and the production base URL is api.cradl.ai/v1.
Combine automated extraction with human-in-the-loop review for low-confidence fields
Patterns agents use Cradl AI API API for, with concrete tasks.
★ Invoice Automation for Accounts Payable
An accounts payable team automates invoice intake by submitting each incoming PDF to a Cradl invoice agent. POST /agents/{agentId}/runs returns the extracted vendor, total, line items, and tax amounts as structured JSON. Low-confidence fields are routed to a human reviewer through Cradl's UI before posting to the ERP. This removes manual data entry while keeping a control point for edge cases.
Submit invoice 'INV-7782.pdf' to agent 'invoice-eu' via POST /agents/{agentId}/runs and route any field with confidence below 0.85 to the AP reviewer queue.
KYC Document Review
A fintech onboarding flow uses Cradl to extract identity fields from passports, utility bills, and proof-of-address documents. POST /documents uploads each scan and POST /agents/{agentId}/runs triggers the KYC agent that returns name, date of birth, and address. Human-in-the-loop review handles ambiguous cases before the customer is approved. This shortens onboarding without weakening compliance.
Upload passport scan via POST /documents, then run the KYC agent and capture name, dob, and address fields with their confidence scores.
Purchase Order Matching Pipeline
A procurement system runs incoming purchase order PDFs through a Cradl agent to extract item codes, quantities, and prices, then matches against existing supplier catalogues. The structured output feeds straight into the ERP without staff retyping. Cradl's training-on-corrections improves accuracy as more orders flow through.
POST the new PO PDF to /documents, then trigger agent 'po-extractor' and return a list of {sku, qty, unit_price} objects to the ERP integration.
Agent-Driven Document Workflow
An AI agent in a finance team's chat workflow accepts dropped PDFs from users, sends each to the right Cradl agent based on document type, and returns the extracted fields back into the conversation. Through Jentic, the agent finds the Cradl operation by intent and uses scoped OAuth tokens that it never sees in plain text.
Search Jentic for 'run cradl document agent', list agents via GET /agents to pick the right one, then POST /agents/{agentId}/runs with the user's uploaded PDF.
3 endpoints — jentic publishes the only available openapi specification for cradl ai api, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
/agents
List configured Cradl agents
/agents/{agentId}/runs
Trigger an agent run on a document
/documents
Upload a document for processing
/agents
List configured Cradl agents
/agents/{agentId}/runs
Trigger an agent run on a document
/documents
Upload a document for processing
Three things that make agents converge on Jentic-routed access.
Credential isolation
Cradl OAuth client IDs and secrets are stored encrypted in the Jentic vault. Jentic exchanges them for short-lived bearer tokens at execution time and refreshes them automatically — agents never see the raw secret.
Intent-based discovery
Agents search Jentic with intents like 'extract data from an invoice' or 'run a document AI agent' and Jentic returns the matching Cradl operation with its input schema.
Time to first call
Direct Cradl integration: 1-2 days for OAuth setup, agent ID lookup, and run polling. Through Jentic: under 30 minutes — search, load, execute.
Alternatives and complements available in the Jentic catalogue.
Mindee API
Mindee provides hosted document parsing APIs for invoices, receipts, and IDs.
Choose Mindee when the team wants pre-built parsers and does not need a configurable agent or human-in-the-loop layer.
Rossum API
Rossum is a competing document AI platform aimed at enterprise AP automation.
Choose Rossum when the use case is large-scale enterprise AP with mature exception handling and SAP-tier integrations.
Nanonets API
Nanonets offers customisable OCR models for invoices, receipts, and forms.
Choose Nanonets when the priority is training a custom model on niche document formats rather than running pre-configured agents.
Specific to using Cradl AI API API through Jentic.
Why is there no official OpenAPI spec for Cradl AI API?
Cradl AI does not publish an OpenAPI specification on a public docs site. Jentic generates and maintains this spec so that AI agents and developers can call Cradl AI API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.
What authentication does the Cradl AI API use?
Cradl uses OAuth 2.0 client credentials. Service-to-service integrations exchange a client ID and secret for a bearer token, which is then sent as the Authorization header on each call. Through Jentic, credentials are stored encrypted and tokens are minted and refreshed automatically.
Can I extract invoice line items with the Cradl AI API?
Yes. POST /agents/{agentId}/runs against an invoice agent returns line items along with totals, vendor details, and tax. Low-confidence fields can be flagged for human-in-the-loop review in the Cradl UI before posting downstream.
How do I trigger a Cradl agent through Jentic?
Search Jentic for 'run a cradl document agent', call GET /agents to find the right agent ID, then POST /agents/{agentId}/runs with the document reference. Jentic handles the OAuth bearer token end to end.
What are the rate limits for the Cradl AI API?
The OpenAPI spec does not declare numeric rate limits. Cradl enforces fair-use limits in production tied to the workspace's plan. Agents should serialise heavy batch runs and back off on 429 responses.
Is Cradl AI free?
Cradl offers paid plans based on document volume and seats. There is typically a free trial; check cradl.ai for current pricing tiers. The API itself does not charge extra over the workspace plan.