---
id: article-introducing-finterm
kind: article
slug: introducing-finterm
title: Introducing Finterm
summary: A concise introduction to sourced financial research for coding agents.
status: published
published_at: '2026-07-14'
authors:
- Finterm
credits: []
tags:
- product
- research
hero_asset: /_content/article-introducing-finterm/architecture.885655be1855.svg
---

# Introducing Finterm

Finterm gives coding agents one command-line interface for financial data and sourced
research. Focused tools answer narrow questions, bundles combine related results, and
research packages preserve larger bodies of evidence in local data rooms.

![A request flowing through Finterm to sourced evidence](/_content/article-introducing-finterm/architecture.885655be1855.svg)

## Designed for Inspectable Research

Sourced research results retain links, timestamps, and caveats for the underlying
evidence. Market-data outputs use their documented result shapes and may not include a
source URL. These boundaries make results easier to inspect, compare, and revisit.

## A Typical Workflow

Start with a plain-language question, then use `finterm prime` to load the current
catalog. Choose a point tool for one fact, a bundle for a structured snapshot, or a
research package for a document-sized investigation.
Inspect any returned sources and caveats before carrying a result into an analysis.

## Start With the Public Interface

Follow the [Quickstart](https://docs.finterm.ai/quickstart) to install and authenticate
the CLI. The [CLI reference](https://docs.finterm.ai/cli/finterm) documents the
commands, inputs, and result shapes available to people and agents.