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General · Workspace Agents

Workspace Agent Marketplace Consulting Services

Build secure workspace agents with dev3lop: agent templates, hosted runtimes, governance controls, and monetization-ready marketplaces.

What we offer

Our general services.

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01

Marketplace Strategy

Positioning · Pricing · GTM

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Marketplace Strategy

Define your agent marketplace wedge, category taxonomy, launch offer, and monetization model before engineering effort gets wasted.

02

Runtime Architecture

Queues · Streaming · Approvals

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Runtime Architecture

Implement secure multi-tenant runtime patterns for long-running agent workflows, approval gates, and auditable task execution.

03

Data & Billing Layer

Usage ledger · Invoice flow

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Data & Billing Layer

Track token usage, map client costs, and generate transparent invoicing for invoice-first or subscription billing models.

04

Governance Controls

Access policy · Risk controls

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Governance Controls

Apply practical guardrails around connectors, credentials, and sensitive actions while preserving team velocity.

Launch the category before competitors do

We help teams move from concept to shipping workspace agents fast, without skipping security and billing fundamentals. DEV3LOPCOM, LLC is an Austin, Texas data engineering consultancy, and a workspace agent marketplace is fundamentally a data engineering problem wearing a product costume: multi-tenant isolation, usage metering, credential management, and audit trails. Teams that treat it as a prompt-engineering exercise ship demos. Teams that treat it as infrastructure ship businesses.

What we build with you

Most engagements cover four layers. The catalog layer — agent templates, category taxonomy, and the packaging that makes an agent purchasable rather than just runnable. The runtime layer — queued and long-running agent execution with streaming output, approval gates before sensitive actions, and per-tenant sandboxing. The data layer — a usage ledger that records every token, tool call, and task so billing is defensible line by line. And the governance layer — scoped connectors, credential vaulting, and policies that decide which agents may touch which systems.

We design these to be portable. Your agent specs should survive a model provider change, and your runtime should run on infrastructure you control.

Typical engagement path

  1. Strategy and architecture sprint.
  2. Marketplace and template rollout.
  3. Hosted runtime and kanban-fed code-agent execution.
  4. Usage-led billing and operational handoff.

Each phase ships something usable. Most teams should launch with templates and invoice-first billing, validate demand, then invest in hosted runtime and payment automation once real customers are pulling real workloads.

Common problems we fix

  • Metering built after launch. Retrofitting a usage ledger onto a running platform is painful. We instrument billing events from the first deploy.
  • One tenant can see another. Isolation bolted on late leaks. We design tenancy boundaries into storage, queues, and credentials from day one.
  • Agents with standing credentials. Marketplace agents holding long-lived customer secrets are a breach multiplier. We use scoped, short-lived access with audit logs.
  • No operational visibility. When an agent run fails at 2 a.m., someone needs a trace, not a shrug. We build the observability alongside the runtime.

Why dev3lop

We are 100% onshore, and we have shipped production data platforms for demanding clients — GCP pipelines for Buxton, a Tableau Server high-availability migration for GoPro, and automation for Lever that replaced 282 SQL queries and 186 workbooks with maintained software. Marketplace infrastructure needs the same reliability discipline, and it needs reporting: we build the operator dashboards too, drawing on our business intelligence practice so you can see revenue, usage, and failure rates without exporting CSVs.

If you are earlier in the journey — one internal agent, not a marketplace — start with our AI agent consulting services instead.

Scope the wedge

The hardest decision is what to launch first. Bring us your customer list and your agent ideas, and we will help you pick the wedge that validates fastest. Contact us to book an architecture sprint.

FAQ

Common questions.

Can you help us start with templates before building a platform?
Yes. Most teams should launch with a template marketplace first, then add hosted runtime capabilities once demand and workflows are validated.
Do we need Stripe at launch?
No. We can implement invoice-first billing with detailed usage statements, then add payment automation later.
Can this work with OpenAI tooling and our own infrastructure?
Yes. We design portable agent specs and hosted runtimes that use OpenAI tooling while running on infrastructure you control.

Ready to get started?

Let's discuss how we can help with your general needs.

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