One API for everythingmodelstoolssearchconnectorsMCP serversskillspluginsagentsworkflowssocialx402 paymentsdiscoveryphysical AIrobots & machineseverything
Works equally for agents and humans.
We streamlined the entire developer cycle — for agents and humans — by building one API for everything.
ONE ECOSYSTEM. EVERYTHING WORKS TOGETHER. FULLY MANAGED.
✦ BUILT ON SEVEN PATENT-PENDING INVENTIONS · 40+ CLAIMS
FREE TO USE · PAY PER RESULT · NO SUBSCRIPTION
It ships with our complete, integrated developer platform, built on our patent-pending technology: Studio, Chat, CLI, Coding, Dashboard, API and MCP, through to the end-user frontend — plus Slack and any coding agent via the Plunge skill. Behind one key: 1,000+ models, hundreds of connectors, MCP servers, skills, plugins, agents, workflows, x402 payments — and the robots, machines and sensors on your floor.
Seven Plunge surfaces. Slack. Any coding tool. Same gateway.
One API for everything ships with our complete, integrated developer platform — through to the end-user frontend — and every one of these surfaces is free to use. Every surface is a thin skin over the same gateway, so auth, billing, observability and governance are identical wherever a request starts. Slack joins through the @plunge bot, and any third-party coding tool through the Plunge skill.
Studio
Vibe-code apps, workflows, agents and bots visually. Wire 1,000+ models, connectors and tools together — fully executable, no glue code.
Chat
The consumer desk. Talk to any model, agent or workflow; approve, steer and hand off — a human-in-the-loop front door for everyone.
CLI
Terminal-first access to the whole platform. Scaffold, run, deploy and call any plane from scripts and CI pipelines.
Coding
An autonomous coding agent that builds on and for the platform — with every model, connector and skill already in reach.
Dashboard
Constellation and segmentation views over all traffic: usage, cost, health and governance across every plane in one place.
API
The code-first path. One REST/SDK endpoint that speaks every plane — 1,000+ models with one key, drop-in compatible.
MCP
The protocol-native path. The entire platform exposed as a single MCP server; any MCP client gets all planes instantly.
Slack
Mention @plunge in any channel to talk to any model, agent or workflow — approvals, hand-offs and bot agents happen where your team already works.
Lovable · Replit · Claude Code & co
Cursor, Codex, Gemini CLI, Windsurf, Grok — any coding tool installs the Plunge skill once and can call the whole platform: models, connectors, skills, agents, payments.
You don’t build agents anymore. You write playbooks.
Every kind of agent is already fully built, governed and running — harness, looping and long-running, workflow, direct-call, chat, bots. You never assemble one. You hand it a playbook: what it is, what it does, what it may touch, and what done looks like.
✓ Harness agents — plan · act · verify, mission-bounded
✓ Looping & long-running agents — memory, schedules, hours or days
✓ Workflow agents — orchestration, hand-offs, checkpoints
✓ Direct-call agents — one request, one governed result
✓ Chat agents — conversation, approvals, hand-offs
✓ Bot agents — Slack, Discord, Telegram, web widgets
Plain Markdown, structured by a little YAML. Concrete, versioned, reviewable — more than a skill: the full brief.
Apple didn’t win with one product. It won with an ecosystem.
The iPhone, the Mac, the Watch, iOS, the App Store, Apple Pay — each is good on its own; together they are unbeatable, because every piece makes every other piece more valuable. Plunge AI is built on the same logic. Every surface, every routing plane and every payment works through one account and one gateway. No single plane is the product. The whole is the product.
ONE ECOSYSTEM. EVERYTHING WORKS TOGETHER. FULLY MANAGED.
Enterprise AI agents are exploding into chaos.
Soon every large enterprise will run tens of thousands of agents. The question is no longer whether — it is what those agents run on, and who governs everything they touch.
AI agents per Fortune 500 enterprise by 2028 — up from fewer than 15 in 2025.
GARTNER CALLS IT “AGENT SPRAWL”
Ungoverned sprawl
Agents multiply across teams with no owner, no identity, no oversight — leaking data and failing audits.
Shadow AI
Companies that block AI push employees to use it secretly. The risk goes underground, not away.
Pilots that never ship
Roughly 95% of enterprise AI pilots deliver no measurable impact. Complexity kills them before production.
AI infrastructure is eight separate stacks.
Every AI product today stitches together fragmented layers — each with its own vendors, keys, billing, and dashboards. Nobody manages them in one place.
Twelve planes. One endpoint.
The same pattern OpenRouter proved for models — applied to the entire AI supply chain. We don't build any of it. We route, meter, and manage all of it.
Model Routing
Every LLM — frontier, open-source, fine-tuned — routed on cost, latency, and quality. Automatic failover and load balancing across providers.
Tool Routing
Every tool and function endpoint — search, code execution, browsers — routed on capability and rating. One schema, every tool.
Connector Routing
500+ SaaS integrations from any provider — Composio, Merge, Nango, or native APIs. Neutral aggregation: we don't own the workflow, we expose the integration.
MCP Routing
Every MCP server — official, community, enterprise-internal — behind one endpoint that handles auth, selection, and versioning. The protocol where tools and connectors converge.
Skill Routing
Reusable expertise as endpoints: instruction packs and playbooks — versioned, rated, and loaded by any agent on demand. Tens of thousands exist today, scattered across GitHub directories.
Plugin Routing
Installable capability bundles — skills, commands, connectors, and MCP servers packaged as one versioned unit — one-click install into any agent or workflow.
Agentic Agents
Autonomous agents addressable as endpoints. Agent-to-agent (A2A) traffic with a trust layer, metering, and a marketplace — a plane nobody has claimed yet.
Agent Flow
Orchestrated multi-agent workflows: sequences, hand-offs, and human checkpoints — composed in Studio, operated from Agent Desk, invoked like any other endpoint.
Long-running Agents
Durable agents with persistent memory, loops and schedules — running for hours or days, surviving restarts, resumable from Agent Desk or Chat.
Bot Agents
Agents that live where people already are — Slack, Discord, Telegram, WhatsApp and web widgets — deployed as endpoints with the full fabric behind them.
Payments (x402)
Agents and apps pay for what they call — models, tools, connectors, other agents — per request over HTTP 402. Metering, micropayments and settlement to the supply side are built into the gateway, not bolted on.
Discovery Service
The registry across all planes: search, ranking, trust scores, and versioning for every model, tool, connector, MCP server, skill, plugin, agent, and flow. Agents don't just call what they're configured with — they find what they need at runtime.
Routing is the wedge. Management is the moat.
One key, one bill, one dashboard — the durable value of being the single pane of glass for all AI traffic, no matter which entry point it came through.
Unified auth
One credential replaces fifty. OAuth, keys, and scopes managed centrally.
Unified billing
One invoice across model tokens, tool calls, connector usage, and agent invocations.
Observability
End-to-end traces spanning the model call and every tool, connector, and agent call it triggered.
Governance
Policy on which teams use which models, tools, and data. Audit trails and compliance built in.
Reliability
Failover, load balancing, and caching at every plane — not just the model layer.
Everything on the right side is already managed.
Plunge is not a gateway you operate — it is a fully managed platform. The complete agent lifecycle, governance and runtime are already built and running behind the One API. An approved agent is in production; there is no pilot-to-production gap. And the same backend reaches into the physical world — physical AI on your local network and edge devices: robots, sensors, cameras.
THE FULL AGENT LIFECYCLE — ONE SYSTEM, ONE INVENTORY, ONE AUDIT TRAIL
Born governed
Every agent gets an identity, an owner, a purpose and least-privilege permissions at creation. Nothing exists outside the system — no sprawl to discover later.
Governed by construction
Every model, tool, connector, MCP, skill and payment call runs through the gateway — policy-checked, metered and logged under one identity and one audit trail.
Distribution built in
Agents are published to users, groups and roles. Finance sees finance agents; support sees support agents. Every action is attributable.
Production-grade runtime
Creation, governance, gateway and edge-scale runtime are the same system. Approved means live — running millions of agents, fast.
Everything observed. And we do the work.
The Observatory is the live view over everything that runs through the One API: every agent, every tool call, every model, every connector, every payment, every machine on the floor. You watch; we operate. Nothing to deploy, patch, scale or babysit.
See everything live
Every running agent with its owner, purpose, state and spend. Every call traced end-to-end — from the model to the tool to the machine.
Govern from one place
Approve, pause, retire. Set budgets, permissions and policies per agent, team or region — and watch them enforced in real time.
Costs attributed
Which user, which agent, which model, which result, what it cost. One bill, fully attributable, down to the single call.
We run it for you
Scaling, failover, upgrades, security patches, new models and connectors — all handled by the platform. You never operate infrastructure.
Build with it — or build your whole product on it.
The platform is agnostic in both directions. Use Plunge to build, or make Plunge the backend of your own product: you bring the frontend and the customer, we run everything behind it.
Build WITH Plunge
Studio for vibe-coding agents, workflows and bots · CLI and Coding agent for developers · Chat and Dashboard for the whole company · Slack and any coding tool via the Plunge skill. You ship inside the platform, governed from birth.
Build ON Plunge
Your product, your frontend, your brand. Our API and MCP expose every plane — managed agents, workflows, bots and memory, 1,000+ models, connectors, skills and payments. White-label partners run their own business on it.
SEPARATION OF CONCERNS
You own the frontend and the customer. We own everything behind it — models, agents, workflows, bots, connectors, MCP, skills, payments, governance and runtime. Whatever you build arrives already deployed, governed and fully managed.
Every tool is free to use. You pay only per result.
No subscriptions, no seats, no minimums, nothing for capacity you never touch. One metric everywhere: a completed result — a call, a task, a workflow. Use it and you pay; don’t use it and you pay nothing.
Free to use
Studio, Chat, CLI, Coding, Dashboard, API and MCP — the whole platform and every plane behind it — open to every developer and every team at no cost.
Pay per result
You are billed for completed results, not for access, seats or idle capacity. A hundred calls that solve nothing cost you nothing.
No subscription
No monthly floor, no annual lock-in, no paying for what you did not use. The bill follows the work — and only the work.
DEVELOPER HEAVEN
One streamlined developer ecosystem, so the next era of software is spent building applications instead of infrastructure — from a single developer to the enterprise. The market agrees: outcome-based pricing is where agent pricing is heading, and fewer than one in five enterprise buyers still want seats.
Endlessly scalable. Built on performance.
The engine was designed for fleets, not demos. Agents fan out into sub-agents, workflows run massively parallel on the edge, and every call stays governed at full speed — from one developer’s first agent to an enterprise running hundreds of thousands.
sub-agents spun up by one agent
in under 0.3 seconds — from a cold start.
MEASURED ON THE PRODUCTION RUNTIME
Theoretically endless
Horizontal by design: agents, workflows and tool calls scale out across the edge with no fixed ceiling.
50 tasks in ~0.5 s
Deterministic workflows fan out over the RPC mesh; adaptive ones generate work and run N×M at once.
Millions of agents today
The runtime already executes millions of agents on the edge — at the scale analysts predict for 2028.
No trade-off
Identity, policy, metering and audit run inline with every call — governance adds no latency tax.
Scale is a property of the platform, not a project for your team.
From deterministic to agentic to harness agents.
Four kinds of agents, one engine: workflow agents, bot agents, harness agents and long-running agents — all fully built, all governed, all declared in a playbook, no glue code. Autonomy is a dial, not a leap of faith.
Workflow agents
Deterministic or adaptive — you define the steps, or let the flow decide its shape at runtime. Repeatable pipelines, self-scaling fan-out, debate and consensus, hand-offs and human checkpoints.
Bot agents
Live where people already are — Slack, Discord, Telegram, web widgets — and answer, act and hand off. Conversation with approvals; one request, one governed result.
Harness agents
A mission-bounded loop that plans, acts and verifies itself. Memory and a Second Brain give recall and sub-agents; depth-capped recursion stops when the work holds up.
Long-running agents
Durable agents that keep working for hours or days: survive restarts, resume where they stopped, run on schedules and events, with budgets and checkpoints enforced by the gateway.
Same engine. Same governance. Same gateway. Every mode is already built — you only choose the autonomy level per task, in a playbook.
You don’t build agents anymore. You write playbooks.
Every kind of agent is already fully built, governed and running — harness, looping and long-running, workflow, direct-call, chat, bots. You never assemble one. You hand it a playbook: what it is, what it does, what it may touch, and what done looks like.
✓ Harness agents — plan · act · verify, mission-bounded
✓ Looping & long-running agents — memory, schedules, hours or days
✓ Workflow agents — orchestration, hand-offs, checkpoints
✓ Direct-call agents — one request, one governed result
✓ Chat agents — conversation, approvals, hand-offs
✓ Bot agents — Slack, Discord, Telegram, web widgets
Plain Markdown, structured by a little YAML. Concrete, versioned, reviewable — more than a skill: the full brief.
Apple didn’t win with one product. It won with an ecosystem.
The iPhone, the Mac, the Watch, iOS, the App Store, Apple Pay — each is good on its own; together they are unbeatable, because every piece makes every other piece more valuable. Plunge AI is built on the same logic. Every surface, every routing plane and every payment works through one account and one gateway. No single plane is the product. The whole is the product.
ONE ECOSYSTEM. EVERYTHING WORKS TOGETHER. FULLY MANAGED.
Enterprise AI agents are exploding into chaos.
Soon every large enterprise will run tens of thousands of agents. The question is no longer whether — it is what those agents run on, and who governs everything they touch.
AI agents per Fortune 500 enterprise by 2028 — up from fewer than 15 in 2025.
GARTNER CALLS IT “AGENT SPRAWL”
Ungoverned sprawl
Agents multiply across teams with no owner, no identity, no oversight — leaking data and failing audits.
Shadow AI
Companies that block AI push employees to use it secretly. The risk goes underground, not away.
Pilots that never ship
Roughly 95% of enterprise AI pilots deliver no measurable impact. Complexity kills them before production.
AI infrastructure is eight separate stacks.
Every AI product today stitches together fragmented layers — each with its own vendors, keys, billing, and dashboards. Nobody manages them in one place.
Twelve planes. One endpoint.
The same pattern OpenRouter proved for models — applied to the entire AI supply chain. We don't build any of it. We route, meter, and manage all of it.
Model Routing
Every LLM — frontier, open-source, fine-tuned — routed on cost, latency, and quality. Automatic failover and load balancing across providers.
Tool Routing
Every tool and function endpoint — search, code execution, browsers — routed on capability and rating. One schema, every tool.
Connector Routing
500+ SaaS integrations from any provider — Composio, Merge, Nango, or native APIs. Neutral aggregation: we don't own the workflow, we expose the integration.
MCP Routing
Every MCP server — official, community, enterprise-internal — behind one endpoint that handles auth, selection, and versioning. The protocol where tools and connectors converge.
Skill Routing
Reusable expertise as endpoints: instruction packs and playbooks — versioned, rated, and loaded by any agent on demand. Tens of thousands exist today, scattered across GitHub directories.
Plugin Routing
Installable capability bundles — skills, commands, connectors, and MCP servers packaged as one versioned unit — one-click install into any agent or workflow.
Agentic Agents
Autonomous agents addressable as endpoints. Agent-to-agent (A2A) traffic with a trust layer, metering, and a marketplace — a plane nobody has claimed yet.
Agent Flow
Orchestrated multi-agent workflows: sequences, hand-offs, and human checkpoints — composed in Studio, operated from Agent Desk, invoked like any other endpoint.
Long-running Agents
Durable agents with persistent memory, loops and schedules — running for hours or days, surviving restarts, resumable from Agent Desk or Chat.
Bot Agents
Agents that live where people already are — Slack, Discord, Telegram, WhatsApp and web widgets — deployed as endpoints with the full fabric behind them.
Payments (x402)
Agents and apps pay for what they call — models, tools, connectors, other agents — per request over HTTP 402. Metering, micropayments and settlement to the supply side are built into the gateway, not bolted on.
Discovery Service
The registry across all planes: search, ranking, trust scores, and versioning for every model, tool, connector, MCP server, skill, plugin, agent, and flow. Agents don't just call what they're configured with — they find what they need at runtime.
Routing is the wedge. Management is the moat.
One key, one bill, one dashboard — the durable value of being the single pane of glass for all AI traffic, no matter which entry point it came through.
Unified auth
One credential replaces fifty. OAuth, keys, and scopes managed centrally.
Unified billing
One invoice across model tokens, tool calls, connector usage, and agent invocations.
Observability
End-to-end traces spanning the model call and every tool, connector, and agent call it triggered.
Governance
Policy on which teams use which models, tools, and data. Audit trails and compliance built in.
Reliability
Failover, load balancing, and caching at every plane — not just the model layer.
Everything on the right side is already managed.
Plunge is not a gateway you operate — it is a fully managed platform. The complete agent lifecycle, governance and runtime are already built and running behind the One API. An approved agent is in production; there is no pilot-to-production gap. And the same backend reaches into the physical world — physical AI on your local network and edge devices: robots, sensors, cameras.
THE FULL AGENT LIFECYCLE — ONE SYSTEM, ONE INVENTORY, ONE AUDIT TRAIL
Born governed
Every agent gets an identity, an owner, a purpose and least-privilege permissions at creation. Nothing exists outside the system — no sprawl to discover later.
Governed by construction
Every model, tool, connector, MCP, skill and payment call runs through the gateway — policy-checked, metered and logged under one identity and one audit trail.
Distribution built in
Agents are published to users, groups and roles. Finance sees finance agents; support sees support agents. Every action is attributable.
Production-grade runtime
Creation, governance, gateway and edge-scale runtime are the same system. Approved means live — running millions of agents, fast.
Build with it — or build your whole product on it.
The platform is agnostic in both directions. Use Plunge to build, or make Plunge the backend of your own product: you bring the frontend and the customer, we run everything behind it.
Build WITH Plunge
Studio for vibe-coding agents, workflows and bots · CLI and Coding agent for developers · Chat and Dashboard for the whole company · Slack and any coding tool via the Plunge skill. You ship inside the platform, governed from birth.
Build ON Plunge
Your product, your frontend, your brand. Our API and MCP expose every plane — managed agents, workflows, bots and memory, 1,000+ models, connectors, skills and payments. White-label partners run their own business on it.
SEPARATION OF CONCERNS
You own the frontend and the customer. We own everything behind it — models, agents, workflows, bots, connectors, MCP, skills, payments, governance and runtime. Whatever you build arrives already deployed, governed and fully managed.
Every tool is free to use. You pay only per result.
No subscriptions, no seats, no minimums, nothing for capacity you never touch. One metric everywhere: a completed result — a call, a task, a workflow. Use it and you pay; don’t use it and you pay nothing.
Free to use
Studio, Chat, CLI, Coding, Dashboard, API and MCP — the whole platform and every plane behind it — open to every developer and every team at no cost.
Pay per result
You are billed for completed results, not for access, seats or idle capacity. A hundred calls that solve nothing cost you nothing.
No subscription
No monthly floor, no annual lock-in, no paying for what you did not use. The bill follows the work — and only the work.
DEVELOPER HEAVEN
One streamlined developer ecosystem, so the next era of software is spent building applications instead of infrastructure — from a single developer to the enterprise. The market agrees: outcome-based pricing is where agent pricing is heading, and fewer than one in five enterprise buyers still want seats.
From deterministic to agentic to harness agents.
The same engine builds a fixed pipeline, a workflow that scales itself at runtime, or a full harness agent with memory and a second brain — declared in plain language, no glue code. Autonomy is a dial, not a leap of faith.
Workflows
You define every step. It runs the same way, every time. Repeatable and auditable, massively parallel — 50 tasks in about half a second. Best for pipelines, mass processing and known processes.
Adaptive workflows
The workflow decides its own shape at runtime: self-scaling fan-out, debate panels and consensus validation, branching on the data rather than a fixed plan. Best for variable-size data, reasoning and judgment.
Goal-driven agents
A mission-bounded loop that plans, acts and verifies itself. Memory and a Second Brain give recall, knowledge and sub-agents; depth-capped recursion stops when the work holds up. Best for open-ended goals.
Same engine. Same governance. Same gateway. Every mode is already built — you only choose the autonomy level per task, in a playbook.
Totally agnostic — by design, not by accident.
Model-agnostic
1,000+ LLMs — commercial, open-source and fully private self-hosted models. Swap anytime, one governance layer over all of them.
Cloud-agnostic
Managed cloud, full on-premise or hybrid. Data on AWS, Google Cloud, Azure or your private databases — in any combination.
Ecosystem-agnostic
We have no CRM, cloud or model business to protect. The platform serves your business, not a parent company’s ecosystem.
Skill-agnostic
A clean web interface for everyone — no code, no CLI, no consultants — with full transparency for IT and compliance.
We win because we have nothing else to sell you.
Nobody spans all twelve planes.
| Player | Models | Tools | Connectors | MCP | Skills | Plugins | Agents | Flows | Long-run | Bots | Payments | Discovery |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OpenRouter | ||||||||||||
| LiteLLM / Portkey | ||||||||||||
| LangChain / Vercel AI | ||||||||||||
| Zapier / Composio | ||||||||||||
| MCP registries | ||||||||||||
| Plugin marketplaces | ||||||||||||
| x402 payment rails | ||||||||||||
| Plunge AI |
Two sides, one flywheel.
Supply
Model providers, tool builders, connector providers, MCP authors, skill & plugin creators, and agent & flow developers list into the discovery registry — monetized per token, per call, or per seat and settled instantly via x402. We are their distribution channel.
Demand
Builders arrive through Studio and Coding, users through Chat, developers through CLI and API, protocol clients through MCP, and every third-party coding tool through the Plunge skill — all consuming the same catalog through one gateway.
discovery ranking (quality · latency · price · trust) becomes the moat
The pain is measured. The standard just landed.
Developers integrate ten to twenty API providers per production app and spend a large share of their time on glue code. The protocol layer that makes a neutral gateway possible has just been standardized.
354+ APIs
managed by the average enterprise; 31% run multiple gateways just to cope.
$32.8B
projected API-management market by 2032 — before agents multiply call volume.
10,000+ servers
97M+ monthly SDK downloads; MCP donated to the Linux Foundation's Agentic AI Foundation.
$1.25B
LangChain valuation on 100M+ monthly downloads — for a framework, not a platform.
No all-in-one
Gateways, frameworks, connector hubs and registries are all point solutions.
The problems are real — the world’s top research says so.
Agent sprawl is measured
150,000+ agents per Fortune 500 by 2028, up from fewer than 15 in 2025. Only 13% believe their governance is ready.
Gartner: Six Steps to Manage AI Agent Sprawl
A product category is born
Gartner defines Agent Management Platforms and names sample vendors. CIO budgets now form against this category.
Gartner AMP research note
Gateways go unified
70% of multi-model engineering teams will use AI gateways by 2028, up from 25% — explicitly covering MCP and agent-to-agent traffic.
Market Guide for AI Gateways
Ungoverned projects die
Over 40% of agentic AI projects will be cancelled by end of 2027 — escalating costs, unclear value, inadequate risk controls.
Gartner press release
Pilots do not reach P&L
Roughly 95% of enterprise generative AI pilots fail to deliver measurable financial returns.
State of AI in Business 2025
The production gap
Only 14% of organizations have agentic solutions ready to deploy; just 11% run agentic AI in production.
Deloitte enterprise agentic AI research
~$7 Trillion
Generative AI could raise global GDP by 7% and lift productivity growth by 1.5pp over a ten-year period.
Goldman Sachs Research (Briggs & Kodnani)
$2.6–4.4T per year
Annual economic value from generative AI. Automatable activities absorb 60–70% of employee time.
The Economic Potential of Generative AI, MGI
$3.34T spend · $13T impact
Cumulative digital-labor spending reaches $3.34T by 2030 — the first formal sizing of the digital-labor economy.
Digital Labor Economy: Powered by Agentic AI
One API for everything.
Works equally for agents and humans.
ONE ECOSYSTEM. EVERYTHING WORKS TOGETHER. FULLY MANAGED.
Every model. Every tool. Every connector. Every MCP server. Every skill. Every plugin. Every agent. Every flow. Every bot. Every payment. Every machine.
Studio · Chat · CLI · Coding · Dashboard · API · MCP — plus Slack and any coding agent via the Plunge skill — in front
One key · One bill · One gateway · One marketplace · One control plane — behind
We streamlined the entire developer cycle by building one API for everything — shipped with our complete, integrated developer platform, built on our patent-pending technology. Every tool is free to use. You pay only per result. No subscription. From a single developer to the enterprise.
✦ BUILT ON SEVEN PATENT-PENDING INVENTIONS · 40+ CLAIMS · ROUTING & ORCHESTRATION