> ## Documentation Index
> Fetch the complete documentation index at: https://docs.keplerinsights.us/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Curated company-scoring intelligence over a 67-signal engine.

The Kepler Insights API exposes the same scoring engine that powers Kepler's Pro Venture portal — over a stable REST surface, with deterministic schemas and a free sandbox.

<Tip>Looking for the product overview, pricing, and what's in v1? See the [API marketing page](https://keplerinsights.us/api) on keplerinsights.us.</Tip>

## What it scores

Every Kepler score is a composite over **67 signals** organized into **4 buckets**:

| Bucket                   | What it measures                                                |
| ------------------------ | --------------------------------------------------------------- |
| **Team & Structure**     | Founder track record, team strength, structural differentiation |
| **Market Position**      | Sector tailwinds, market size, competitive landscape            |
| **Momentum & Tailwinds** | Regulatory environment, press coverage, brand strength          |
| **Financial Health**     | Revenue, funding efficiency, employee growth                    |

The composite (0–100) maps to a **KI rating** from `KI-5` (early-stage) to `KI-1+` (elite franchise). A separate **scale premium** (up to \~12 points) lifts established mega-caps whose fundamentals justify a higher tier than their growth-stage signals alone would produce.

## What you can do with it

* **Score one company on demand.** `POST /v1/score` returns inline if a record is cached for your tier; otherwise returns 202 + a job to poll (cold scoring typically settles in 25–90 seconds). The SDKs handle the polling for you.
* **Track score history.** `GET /v1/score/{domain}/history` returns the full time-series — every scoring run for that company.
* **Compare against a cohort.** `GET /v1/company/{domain}/cohort` returns sector + geo + profile-matched peers, ranked.
* **Assess data confidence.** `GET /v1/company/{domain}/confidence` shows how much of the score is grounded in real data vs neutral fallbacks.
* **Read the universe.** `GET /v1/distribution` and `GET /v1/movers` summarize every company Kepler has ever scored.

## Get started

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