01
Define the outcome
Describe the task your system needs to complete, the inputs it can provide, and the shape of the result it needs back.
Agentic API Services
Service inquirySYSTEM-TO-SYSTEM INTEGRATION
Put an agentic workflow behind your product.
Accountless API services are designed for software that needs to call a focused workflow directly, rather than making a conventional end-user platform account the center of the experience.
“Accountless” describes the integration pattern, not an unauthenticated public endpoint. Access, permissions, rate limits, data handling, and billing are defined for the specific service.
your_application → zdx_serviceREQUEST
Input
task + constraints + payload
Service boundary
Defined access · scope · execution
Output
structured result → your system
Conceptual integration model. Exact request/response schemas and availability are confirmed per service.
Built around your system
A service contract before an integration sprint.
The useful question is not whether an endpoint exists in isolation. It is whether the service can reliably produce the result your workflow needs, under clearly defined access, cost, and operational constraints.
What we confirm together
- • Service and current implementation status
- • Input, output, and error contracts
- • Authentication and permission model
- • Usage limits, pricing, and billing
- • Data retention and processing boundaries
02
Match the service
We confirm which service is suitable, what is implemented today, and the integration boundary your application will call.
03
Confirm access and limits
Before implementation, establish credentials or access grants, permitted use, rate limits, billing, data handling, and operational expectations.
04
Integrate and verify
Connect your system, test expected and failure responses, and agree on the checks needed before relying on the workflow.
Need agent execution?
AgentCore / Agent Team
For customers who want to operate the coordinated multi-agent software stack themselves, with control over infrastructure, providers, models, and tools.
Compare editions →Need data as an output?
Enterprise Data Synthesis
For scoped dataset development involving source ingestion, research, synthesis, review, provenance, and export for training or evaluation workflows.
Explore Data Synthesis ↗Next step
Bring a use case, not a guess at the endpoint.
Tell us what your system needs to accomplish. We’ll use that to establish service fit, integration requirements, access controls, and commercial scope before implementation is promised.