Spoke

Empower autonomous workforce execution across your enterprise software stack

Enterprise IT leaders lose over $150k annually per software tool attempting to build custom glue code that lets autonomous AI workers interact safely with existing enterprise software.

Spoke automatically translates OpenAPI schemas into governed Model Context Protocol endpoints, allowing AI workforces to execute complex workflows inside systems like Jira, Salesforce, and Snowflake without manual integration. The platform enforces row-level permissions, token budgets, and real-time approval gates to prevent hallucinated data corruption or infinite loop API burn. By bridging legacy enterprise infrastructure with modern agent frameworks, organizations unlock thousands of hours in automated ops overnight.

Spoke is building the nervous system for the autonomous enterprise agent economy.

COMMENTS — Community Discussion

Loading comments...

spoke.dest.page

#DevTools#Ops#Cyber#Data

Problem

When I deploy AI agents across legacy SaaS tools, I want to execute actions safely, but engineering spends 200+ hours hand-coding custom MCP adapters for every single API endpoint.
Why Now: The rapid enterprise adoption of Model Context Protocol (MCP) creates an urgent requirement to secure and standardise agent-to-API communication.
When I connect autonomous agents to production databases, I want to prevent accidental data modification, but current APIs lack real-time agent permission boundaries resulting in $50k+ risks per incident.
When I run agentic workflows at scale, I want to control operational expenses, but runaway recursive loops exhaust rate limits and burn $10k+ in API costs in minutes.
Existing Alternatives: Writing fragile custom NodeJS wrappers, granting raw database tokens directly to agents, or restricting AI to read-only manual UI interactions.

Solution

High-level concept: Vercel for Enterprise Agentic API Infrastructure.

Automated OpenAPI-to-MCP translation engine that converts open endpoints into secure agent capabilities in under 3 minutes.
Granular security firewall featuring real-time human-in-the-loop approval triggers and row-level role-based access control.
Intelligent token budget Throttler and loop breaker that halts runaway recursive agent requests before API rate limits burst.

Distribution

Early Adopters: Enterprise CTOs and VPs of Engineering at mid-market B2B software companies with 50+ internal SaaS subscriptions.
Targeted account-based outreach to engineering leaders launching internal AI assistant initiatives on GitHub and LinkedIn.
Co-marketing and integration partnerships with leading agentic AI frameworks like CrewAI, LangChain, and Claude Enterprise.
Sponsoring specialized technical benchmarks on enterprise MCP security standards across developer communities.

Pricing

Value Ladder: Developer Tier ($0/mo up to 3 APIs)
Pro Tier ($499/mo per workspace with security guardrails)
Enterprise ($2,500/mo custom SLA, dedicated proxy nodes, SOC2).
One Metric That Matters (OMTM): Total monthly autonomous API executions successfully governed through Spoke nodes.
Market Sizing: SAM of 15k mid-market engineering teams spending $30k/yr on agent infrastructure yields $450M addressable revenue, targeting $2.5M year 1 SOM.

Scale Costs

Low-latency global edge proxy infrastructure capable of handling sub-10ms payload inspection and token stream parsing.
Continuous SOC2 Type II compliance audits and dedicated isolated tenant hardware infrastructure for enterprise buyers.
Maintain high-throughput distributed database sync engines for real-time audit logging and replay state preservation.

Expert Opinions

Avg: 9.6

world-class Enterprise Infrastructure Architect and former CTO in SaaS/growth with $100M+ ARR experience
9.6
world-famous AI Systems Security Director and PhD in Distributed Protocol Safety
9.8
leading Developer Relations VP and API Platform Architect
9.4

CommunityReddit ↗

RELATED IDEAS

Spoke

Bastion

Trace

Relay