Flowscope
Flowscope is an AI-native process-automation firm (Y Combinator, Spring 2026) that deploys agents to observe how a business actually runs, map and redesign its workflows, then ship the automation into production on top of existing systems in days rather than months. It positions itself as the AI team for mid-market operating businesses that do not have one, selling services-as-software with outcome-aligned pricing rather than a self-serve developer API. Founded in 2025 in San Francisco by Samuel Mirpuri (ex-McKinsey QuantumBlack) and Javier Leguina (founding engineer, ModelML), Flowscope runs forward-deployed agents that shadow employees, baseline the process, redesign the work, and write back into legacy systems of record while a human core keeps judgment and accountability in the loop.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Flowscope the way a machine reads it — 3 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Flowscope scores 15.9/100 (emerging), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Flowscope
Each block below is one kind of artifact we hold for Flowscope. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Flowscope — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Access & Security 6
Authentication, authorization, and security posture
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/flowscope · machine-readable index on apis.io