A human runs the task once
We observe the real workflow in the target system, including auth, state, and validations.
Backed by
Y Combinator
Y CombinatorTurn legacy software workflows into reliable APIs for AI agents
Supporting millions of requests across high-growth customers
What Zatanna replaces
Show the task once. Then call one endpoint.
Zatanna maps the request flow
We reconstruct the underlying calls instead of replaying clicks and page waits.
Your systems call one endpoint
Agents and internal services hit a stable API while we manage the unstable parts underneath.
What it does
Zatanna turns human-only system workflows into dependable APIs
The goal is not to script a browser more cleverly. The goal is to give your product a stable way to execute work inside systems that were only built for humans.
Capture hidden workflows
We map the exact request behavior behind a human-operated flow, even when the software exposes no usable API.
Expose one clean interface
Your team gets a stable endpoint with predictable inputs and outputs instead of scripts that depend on screens.
Keep it running
Sessions, retries, auth, sequencing, and anti-bot behavior stay managed as the system evolves over time.
How it works
From one observed task to one dependable endpoint
The output is an integration your product can trust, not another automation flow your team has to babysit.
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Step 1Run the workflow once
A human completes the task in the target system while we observe the real behavior.
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Step 2We build the request model
We reconstruct the calls, state transitions, validations, and recovery logic needed to run it safely.
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Step 3You integrate against the API
Agents and internal systems call a stable endpoint while we manage runtime reliability underneath.
Reliability layer
We manage the failure modes that break browser automation
This is the operational layer most teams do not want to own themselves, but have to if they build these integrations in-house.
Stateful auth handling
Sessions, cookies, and login flows persist correctly across multi-step work.
Request sequencing
Calls are replayed in the order and shape the target system expects.
Recovery logic
Retries, re-authentication, and error classification are built into the runtime.
Anti-bot hardening
TLS, proxies, and detection-sensitive behavior are handled below the API layer.
Use cases
Best for workflows that are important, repetitive, and stuck behind a UI
If your team is blocked because the software only works for a human operator, Zatanna is the layer that makes that workflow callable by the rest of your stack.
Back-office systems with no API
Internal or partner software that still requires a human to click through search, validation, and submit flows.
Document and record workflows
Tasks that involve uploads, claim forms, status checks, case lookup, or structured record entry.
Agent actions in external software
Products where AI agents need to complete real tasks in third-party systems, not just read data.
Bring one blocked workflow
We will tell you if it can be turned into a production API
Show us the workflow, the system it lives in, and what your product needs to do. We can quickly assess fit and the right integration shape.