sherpa
sherpa is an AI operating system for External Workforce Management (EWM) that runs an enterprise's contingent-labor program end to end with autonomous agents, replacing the work traditionally done by a VMS (Vendor Management System) and MSP (Managed Service Provider). Its agents cover every phase of an external engagement: autonomous intake and classification from Slack, email, Teams or voice; collaborative scope, role and budget drafting; autonomous sourcing with market-benchmarked rates and ranked candidates and suppliers; coordinated screening interviews scored against a weighted rubric; autonomous hiring and onboarding (documents, background and compliance checks, contracts, provisioning, hardware and badges); and active management and payment with a dedicated PM agent, live spend visibility and flexible payouts once outcomes are verified. One platform spans every worker type — contingent labor, freelancers / independent contractors (with a built-in Agent of Record), SOW / services engagements, and, coming soon, AI agents as a managed worker type — with rate intelligence, compliance management and analytics built in. sherpa launched out of stealth with a $2.2M pre-seed round and is backed by Seedcamp and Y Combinator.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles sherpa the way a machine reads it — 2 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 — sherpa scores 12.3/100 (minimal), 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 sherpa
Each block below is one kind of artifact we hold for sherpa. 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 2
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 sherpa — 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 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 4
Authentication, authorization, and security posture
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/sherpa · machine-readable index on apis.io