Zuplo
Zuplo is a unified API gateway that manages authentication, rate limiting, spend control, and audit logging for three types of traffic: outbound LLM calls (OpenAI, Claude), inbound API requests, and inbound MCP agent calls. It runs one programmable policy engine across all three surfaces, eliminating the need for separate tools or custom code. Agencies deploy it in front of their APIs and LLM integrations, configure policies in GitHub, and gain real-time visibility into costs, access, and security. It integrates with Stripe for usage metering, Datadog for observability, and GitHub for GitOps.
Zuplo is an unified API gateway, priced at $25/month on the Builder plan, integrating with OpenAI, Stripe, Datadog, and GitHub. InnovaAI scores it 4.3/10 for agency adoption, best for Technical Founder, Platform Engineer, and Operations Lead roles handling 5+ client meetings per week.
Agency Audit
Zuplo is a unified API gateway that sits between your agency's internal systems and both outbound LLM calls (OpenAI, Claude) and inbound AI agent traffic (MCP servers). It enforces authentication, rate limiting, spend caps, and audit logging across all three surfaces in one policy engine. Adopt it if your team ships AI features, integrates with external agents, or needs visibility into API and model costs. Best fit for technical founders, ops leads, and platform engineers managing API-first workflows.
3recommended
36/mo
$2,675/mo
Moderate
Illustrative scenario. Not a guarantee. Net capacity is the value of reclaimed time at $75/hr, less the lowest verified paid base plan (flat plan cost is shared). Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Technical Founder handling LLM spend tracking and budget enforcement
- Platform Engineer handling API authentication and rate limiting
- Operations Lead handling agent access provisioning and scoping
- Your agency does not build or maintain APIs, does not integrate with LLMs, and does not expose services to external AI agents. Zuplo is infrastructure for teams shipping AI features or agent-facing APIs.
- Your team is not comfortable managing API gateways or does not have a platform engineer to own the deployment and policy maintenance. Zuplo requires technical setup and ongoing governance.
- You operate entirely on low-code or no-code platforms (Zapier, Make, Webflow) and do not manage custom API traffic. Zuplo targets API-first product and SaaS teams.
Internal Adoption Path
$25/mo
$25/mo flat plan
36 hr/mo
3 seats × 12 hr each
$2,700/mo
modeled at $75/hr labor rate
$2,675/mo
value − subscription cost
In this model, 3 seats reclaim 36 hours of team time each month. Valued at $75/hr that is $2,700/mo, and after the $25/mo subscription it leaves $2,675/mo of capacity for billable client work.
Illustrative scenario. Not a guarantee. Uses the lowest verified paid base plan. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of Zuplo
Spend caps and LLM routing
Route outbound calls to OpenAI, Claude, or other providers with per-team budgets and automatic failover. Saves your technical founder or ops lead 2-3 hours per week manually tracking model costs and enforcing limits across spreadsheets.
MCP Gateway for agent access
Expose your APIs as MCP tools to Claude, Cursor, and other agents with OAuth 2.1 authentication and scoped permissions. Eliminates custom OAuth builds for your platform engineer, shipping agent integrations in days instead of weeks.
Rate limiting and quotas
Enforce per-API-key, per-consumer, and per-agent rate limits without code changes. Reduces support tickets for your ops team by preventing runaway usage and quota violations.
Unified audit and observability
Every API, LLM, and MCP call is logged with consumer identity, policy applied, and cost attribution. Gives your account executives and compliance lead a single source of truth for client access and billing disputes.
GitOps and environment management
Version API policies in GitHub alongside your code; deploy to 5+ environments (free tier) or 10+ (paid). Lets your platform engineer manage auth and rate limits as infrastructure, not manual configuration.
Prompt injection and schema validation
Block malicious traffic and invalid payloads before they reach your APIs or LLM calls. Reduces security review burden on your technical founder and ops team.
What Makes Zuplo Different
Unique advantages vs similar tools in this niche
Unified gateway for both inbound agent traffic and outbound LLM calls
vs Separate API gateways and AI gateways (e.g., Kong + custom LLM proxy)Zuplo handles both directions with one policy engine, reducing vendor count and operational complexity.
Code-first TypeScript policy configuration
vs XML/JSON policy config in Apigee or Lua plugins in KongPolicies are written in TypeScript and stored in Git, enabling version control and team collaboration.
Built-in MCP support with OAuth 2.1 and PKCE
vs Manual MCP server setup with custom authZuplo automatically exposes OpenAPI endpoints as MCP tools with OAuth authentication and scoped access.
Latest Updates
Recent releases and improvements for Zuplo
What's new in Fuego for Golang
NewCreator Ewen Quimerc'h on the latest features in Fuego, the Go framework that generates OpenAPI from code.
Value Equation
Outcome-likelihood-time-effort assessment for Zuplo
Limited agency channel
Zuplo scored below the agency-resellability threshold (agency_fit_score < 50). The Value Equation projects agency-side outcomes, which don't apply to tools without a clear resell pathway.
Contact ZuploPricing
Zuplo platform cost to your agency
Builder: $25/mo
Free
- 100K requests / month
- 1 day of analytics, live logs & traces
- Up to 2 developer seats
- GitOps with GitHub
Builder
- 100K requests included ($100 per 100K additional)
- 2 custom domains (max)
- 7 days of analytics
- 1 day log & trace history retention
Enterprise
- Custom monthly requests with volume discounts
- Custom environments, domains, and developer seats
- 30 days analytics (custom available)
- SSO & Role-Based Access
Add-ons
Optional extras priced on top of any main plan
No verified white-label program for Zuplo: client-facing delivery runs under the platform's native branding.
Market Intelligence
Offer + scale economics for Zuplo
Limited agency channel
Zuplo scored below the agency-resellability threshold (agency_fit_score < 50). It's a useful tool but not designed for white-labeled or retainer-based reselling, so we don't publish productized offer economics for it.
Contact ZuploInvestment Decision Framework
Strategic vetting analysis for Zuplo
Situational Fit
Fit depends on your client mix
Buy If
4Your technical founder or platform engineer spends 3+ hours per week manually tracking LLM spend across OpenAI, Claude, and other providers. Zuplo consolidates spend caps and per-team budgets in one dashboard, eliminating spreadsheet reconciliation.
Your project managers or ops team field requests to grant external AI agents (Claude, Cursor) scoped access to your APIs without building custom OAuth flows. Zuplo's MCP Gateway and OAuth 2.1 support ship this in minutes instead of weeks.
Your team runs multiple API environments (dev, staging, prod) and needs consistent rate limiting, authentication, and audit trails across all of them. Zuplo's GitOps integration with GitHub lets you version policies alongside code.
Your account executives or strategists need to show clients exactly which AI agents accessed their data and when. Zuplo logs every MCP tool call with attribution, scopes, and policy enforcement for compliance reporting.
Skip If
4Your agency does not build or maintain APIs, does not integrate with LLMs, and does not expose services to external AI agents. Zuplo is infrastructure for teams shipping AI features or agent-facing APIs.
Your team is not comfortable managing API gateways or does not have a platform engineer to own the deployment and policy maintenance. Zuplo requires technical setup and ongoing governance.
You operate entirely on low-code or no-code platforms (Zapier, Make, Webflow) and do not manage custom API traffic. Zuplo targets API-first product and SaaS teams.
Your monthly API and LLM call volume is under 100K requests. The free tier covers this; paid plans start at $25/month, which may not justify adoption overhead for minimal traffic.
Bottom Line
Zuplo is a unified API gateway that sits between your agency's internal systems and both outbound LLM calls (OpenAI, Claude) and inbound AI agent traffic (MCP servers). It enforces authentication, rate limiting, spend caps, and audit logging across all three surfaces in one policy engine. Adopt it if your team ships AI features, integrates with external agents, or needs visibility into API and model costs. Best fit for technical founders, ops leads, and platform engineers managing API-first workflows.
Reality Check
Zuplo requires your team to route traffic through its gateway, which adds a deployment step and assumes your stack can handle API-layer policy enforcement. The free tier caps at 100K requests per month; beyond that, usage-based pricing applies. Smaller agencies without active AI integrations or agent consumption may not see ROI.
Low effort: self-service setup with guided onboarding
Academy for Zuplo
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Gateway Weight ClassConcept
Gateway Weight Class is the practice of matching API infrastructure to the actual traffic and governance a client integration will see, rather than defaulting to the most capable platform on the roster. A single internal CRM sync and a public endpoint serving thousands of agent calls per hour need different tooling: the first is well served by a lightweight gateway or a database-backed API layer, while the second justifies enterprise traffic control. Agencies that skip this sizing step pay twice, once in license cost and again in the delivery hours spent configuring policies nobody asked for. The discipline is to score each integration on request volume, authentication complexity, and agent exposure before selecting a platform. A client whose only requirement is exposing a Postgres table can run on Directus, while a multi-tenant product routing LLM calls with spend caps fits Zuplo or API7. Sizing correctly is what lets an agency quote a governance retainer that clients can actually justify renewing.
- Endpoint Decay CurveConcept
Endpoint Decay Curve is the idea that every API an agency ships starts depreciating the moment it goes live, and the rate of decay is set at design time, not at handoff. An endpoint with a written contract, a versioning policy, and a live reference decays slowly; one shipped as a quick fix for a client deadline decays fast, and the cost lands on the agency as unpaid maintenance. The curve matters because agencies price delivery as a project but absorb decay as a retainer, so undocumented endpoints quietly convert margin into support hours. A concrete example: a client CRM integration built without a spec will break on the vendor's next schema change, and the agency eats the debugging call. Documentation platforms such as ReadMe and design-first tooling like Apidog exist precisely to flatten this curve, while gateway layers such as Zuplo or API7 can absorb breaking changes through versioning and rate rules rather than emergency patches.
- Governance Retainer LadderConcept
API governance is not a single service but a ladder of escalating commitments, and each rung carries a different retainer price. The bottom rung is documentation upkeep: keeping specs and reference docs current so client developers stop filing the same tickets. The middle rung adds traffic control, authentication, and rate limiting, which is where gateway tools like Zuplo and API7 earn their place. The top rung covers agent-facing access, spend caps, and audit trails, a layer that barely existed two years ago. Agencies that sell only the bottom rung compete on hourly rates; those that climb to the top rung convert one-off integration work into recurring stability revenue. The trap is skipping rungs: pitching an enterprise gateway to a client whose only real problem is stale docs adds cost without proportional value. Match the rung to the client's actual failure mode, then price the retainer against the outage or ticket volume that rung prevents.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- API Management Rule: Govern Agent Traffic Before You Sell Agent FeaturesEvaluation Rule
Put authentication, rate limiting, and spend caps in front of every endpoint an agent can reach before you ship the agent feature, and document those endpoints in the same sprint.
- When Client Integrations Break Monthly, Sell Governance Before New BuildsEvaluation Rule
Audit and govern the endpoints already in production before quoting any new integration build.
- API Management Decision: Governance Retainer vs One-Off Integration BuildDecision Framework
IF a client's integrations touch revenue-critical systems (payments, CRM, LLM features) and will keep changing after launch, THEN sell API governance as a recurring retainer covering documentation, gateway policy, and traffic monitoring. IF the integration is a single static handoff with no downstream consumers, THEN scope it as a fixed-fee build and close the engagement at handoff.
- The Gateway Reflex: Why API Management Stalls When Agencies Buy Infrastructure Before DemandFailure Pattern
- The Documentation Drift Trap: Why API Management Fails After the HandoffFailure Pattern
- Zuplo vs API7 vs ReadMe (Where Agency API Retainers Actually Break)Tool Comparison
These three sit at different points in the API lifecycle, so the real decision is which failure mode the client is already paying for: ungoverned agent and LLM traffic, multi-protocol infrastructure the client cannot operate alone, or developer onboarding friction that generates support load. Agencies that match the tool to the observed failure can justify a governance retainer, while those that install an enterprise gateway on a client with a handful of endpoints absorb cost without proportional value. Documentation and gateway layers are complements, not substitutes, and pricing them as one line item hides where the margin actually sits.
Delivery system
Blueprints and procedures for running it as a service.
- API Governance Retainer Build (10-15 days)Implementation Blueprint
A productized engagement that inventories every client-facing endpoint, assigns an owner and a stability tier to each, and leaves the client with a monitoring and change-control layer they pay a monthly retainer to maintain. It converts one-off integration work into recurring stability revenue without forcing an enterprise gateway onto a client that does not need one.
- Endpoint Inventory and Risk Triage (Onboarding)Operating Procedure
- Client API Handoff Dossier (Handoff)Operating Procedure
- Gateway Scope Decision (Onboarding)Operating Procedure
14 modules selected for Zuplo
Frequently Asked Questions
Answers about pricing, setup, implementation
Zuplo is a unified API gateway that manages three types of traffic: outbound calls to LLMs (OpenAI, Claude), inbound API requests from users and systems, and inbound MCP tool calls from AI agents. It enforces authentication (OAuth 2.1, API keys, JWT), rate limits, spend caps, and audit logging on all three surfaces in one policy engine. Integrations include OpenAI, Claude, Stripe, Datadog, and GitHub.
Zuplo offers 3 pricing tiers, at $25/mo (Builder).
Technical founders and platform engineers benefit most, as they own API infrastructure and LLM integration. Operations and finance leads gain visibility into spend and usage metering. Account executives and strategists benefit from audit logs showing which agents accessed client data and when. Project managers reduce friction when granting external agents scoped API access.
For a platform engineer managing multiple API environments and LLM integrations, Zuplo saves 2-4 hours per week by consolidating rate limiting, authentication, and spend tracking into one policy engine instead of custom code. For ops and finance teams, usage metering and Stripe integration save 1-2 hours per week on billing reconciliation. Savings scale with team size and API complexity.
Zuplo is live in minutes for simple API routing and LLM spend capping. Deploying MCP Gateway for agent access or complex rate-limiting policies typically takes 1-2 days of platform engineer time. GitOps integration with GitHub accelerates rollout across multiple environments.
Zuplo sits in front of REST, GraphQL, and MCP server APIs, so it works with any stack. It integrates natively with OpenAI, Claude, Datadog, Stripe, and GitHub. If your team uses other LLM providers or observability tools, Zuplo's policy engine can route and log calls, but native integrations are limited to the listed vendors.
Zuplo retains analytics and logs for 1 day (free tier), 7 days (Builder), or 30 days (Enterprise). After cancellation, you lose access to historical logs stored in Zuplo. Export logs to Datadog or your own observability tool before canceling if you need long-term retention.
Yes. Zuplo's MCP Server feature exposes your OpenAPI endpoints as MCP tools that Claude, Cursor, and other agents can call. Combined with the MCP Gateway, you can govern which agents have access, enforce scopes, and audit every tool call.