Ledger Investing
Ledger Investing is a New York-based specialist broking and advisory firm for casualty insurance-linked securities (ILS), connecting insurers, reinsurers and fronting carriers to institutional capital markets investors. The firm originates casualty risk, structures off-balance-sheet solutions, brokes and distributes the resulting securities, and supports secondary trading, having securitized more than $2.5 billion of casualty premium across 170+ transactions since graduating Y Combinator in 2017. Its wholly owned SaaS subsidiary Korra Tech, LLC operates the Korra open data and analytics platform for the reinsurance and ILS market, whose Ledger Analytics API gives actuaries programmatic remote-compute access to Bayesian loss development, tail and forecasting models over insurance loss triangles, alongside the open-source Bermuda (loss triangle manipulation) and BayesBlend (Bayesian model stacking) Python libraries. Other subsidiaries include Ledger Capital Markets, LLC (SEC-registered broker-dealer, FINRA/SIPC member) and Ledger Risk Markets, LLC (licensed reinsurance intermediary).
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Ledger Investing the way a machine reads it — 12 machine-readable artifacts across 6 APIs, 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 — Ledger Investing scores 58.5/100 (developing), with a separate agent-readiness read of 69/100 (agent native). 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 Ledger Investing
Each block below is one kind of artifact we hold for Ledger Investing. 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.
APIs 6
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Ledger Investing Cashflow Models API
Cashflow models composed from a fitted development model and tail model.
Ledger Investing Development Models API
Bayesian loss development models (ChainLadder, TraditionalChainLadder, ManualATA, MeyersCRC, GMCL).
Ledger Investing Forecast Models API
Forecasting models (AR1, SSM, TraditionalGCC).
Ledger Investing Tail Models API
Tail development models (GeneralizedBondy, Sherman, ClassicalPowerTransformTail).
Ledger Investing Tasks API
Poll the status of asynchronous fit and predict tasks.
Ledger Investing Triangles API
Upload, list, retrieve and delete insurance loss triangles.
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
ledger-investing-mcp.yml
MCP SERVERSecurity Posture 4
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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Ledger Investing — 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.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
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