Describe your agent in plain English. Axtra generates the logic and FastAPI backend, validates it in a sandbox. The code is yours.
Agency lead enrichment API
“Build a lead enrichment agent for an AI-agency client. Accept a lead JSON payload with email, company, role, website, and notes. Enrich the company profile, score buying intent from 0-100, explain the score, flag missing inputs, and return CRM-ready JSON with next_action.”
POST /v1/run
200 OK
Status
Active
Artifact
ZIP ready
Deploy proof
Preflight
How It Works
Axtra generates a structured ALMS spec before writing code. The spec defines agent type, workflows, schemas, and endpoints. Then an action agent reads that spec and builds the backend inside a sandbox.
An LLM turns your description into a structured ALMS spec before a single line of code is written. Today.
The spec is stored, versioned, and fed back into the action agent for regeneration. Coming soon.
Edit the spec, not the code. The backend regenerates from the spec alone. Future vision.
The spec comes first. The code follows. The sandbox validates. That is the Axtra pipeline.
Pilot Seed
“Build a lead enrichment agent for an AI-agency client. Accept a lead JSON payload with email, company, role, website, and notes. Enrich the company profile, score buying intent from 0-100, explain the score, flag missing inputs, and return CRM-ready JSON with next_action.”
POST /run
Typed schemas, predictable endpoints, sandbox validation, and clear deploy preflight. Generated backends are artifacts first; runtime endpoints exist only after deploy succeeds.
Built
FastAPI routes with Pydantic request and response schemas. Generated endpoints mount under the runtime API version.
POST /api/v1/runAny model can map it to its own tool-calling logic.
Validated
Each backend is packaged as a ZIP artifact, then validated in an isolated sandbox.
All four must pass against actual execution before sign-off.
Preflight
Deployment starts after the artifact exists and deployment credentials pass preflight.
Export the ZIP anytime. Hosted deployment continues only when the artifact and active provider configuration are ready.
Editors and app builders are useful. AXTL is narrower: reviewed spec, generated backend artifact, sandbox validation, and deploy or download handoff.
Cursor, Codex, Claude Code
Best when you want hands-on control inside a codebase. You still own architecture, API shape, validation, and deploy handoff.
Replit, Lovable, Bolt
Best when you want an app preview quickly. Backend contracts and generated service ownership are usually secondary.
Spec, artifact, validation, handoff
Best when the deliverable is a backend API package for an agent or automation workflow, not another chat transcript.
AXTL fits when the deliverable is a working agent with a real API behind it, plus source and validation evidence a technical team can inspect.
Generate the whole agent: workflow logic, typed schemas, and code you can inspect.
Package repeatable client workflows like lead enrichment, support actions, report APIs, webhook handlers, and CRM syncs.
Agency use case
Turn one client workflow into a spec, source artifact, validation result, and deploy or download decision.
Move from requirement to reviewable spec, source artifact, and deployment path without losing the idea inside chat.
Public signup is being prepared. Beta requests now map into the launch lanes: Free, Builder, or Enterprise/BYOC.
Evaluation lane for trying the spec-to-artifact flow before public signup opens.
Primary launch plan for builders who need repeatable generation and deploy attempts.
For teams that need private cloud, customer-owned deployment, or security review.
FAQ
The short version: AXTL is a spec-first backend generation pipeline, not a generic app builder or hidden chatbot wrapper.
A working agent packaged as a backend API, from a reviewed spec: workflow logic, endpoints, typed schemas, runtime code, validation checks, and deploy/download metadata.
No. AXTL is focused on backend APIs for AI agents and automation workflows. The output should be inspectable by technical teams.
Those tools are broad coding environments. AXTL is narrower: spec-first backend generation, sandbox validation, and backend artifact handoff.
The product direction is code ownership and artifact handoff. The beta flow should make download/deploy behavior explicit before onboarding.
The current platform supports deploy-preflight and deployment workflows where credentials/runtime are configured. The beta request helps pick the right deploy lane.
AXTL is preparing for public launch soon. For now, beta access helps us onboard the right early workflows, tune limits, and make sure the first public experience is stable.
Beta access
Join the beta waitlist with your workflow, expected API shape, and deploy or download needs. Public signup is coming soon; this keeps early access matched to the right launch lane.