Free sources
Public APIs and filings endpoints you can start with today, with notes on rate limits and coverage. These stay free for students and professionals alike.
A curated, maintained list of free and affordable APIs and scrapers, wired to flow straight into your models and agent packs. Build like a desk before you have a desk's budget.

A flawless DCF on stale or wrong inputs is a flawless way to be wrong. The data layer of finance has historically been gated behind terminals that cost more per seat than most people's rent. Data Feeds is the affordable on-ramp: free and affordable APIs and scrapers, each documented for how it plugs into your templates and agent packs.
We are explicit about where cheap data stops being enough. AI confidently hallucinates figures, and a free feed with a gap or a stale field is exactly the kind of input that lets a bad number slide through. So every entry is marked for reliability, and we tell you when a task demands a paid or institutional source.
Source: Knowledge / AI Capability Assessment 2026 · Perplexity research, 2026
Agents and models are only as good as the data piped in. These sources connect cleanly into the templates and packs you already use.
APIs change endpoints and shift terms constantly. The list is maintained with what currently works and what has been deprecated.
Free and affordable sources first; reserve the expensive terminals for when you genuinely need them.
Each source is flagged for the work it can support, so you never ship client-grade output on a learning-grade feed.
Public APIs and filings endpoints you can start with today, with notes on rate limits and coverage. These stay free for students and professionals alike.
Low-cost providers genuinely worth paying for, each documented for what it adds and what it costs, so the decision to pay is informed.
The practical recipes for how each source plugs into your templates and agent packs, the part that turns a raw link into a working pipeline.
Data connectors pull live figures straight into cells in pro tooling, the workflow that makes self-updating models and live-screening agents possible. The Data Feeds list is the affordable on-ramp to that same workflow. It is curation with judgment, not a dump of links: every entry carries its terms, its limits, and an honest note on where its data is and is not good enough.
Source: Knowledge / AI Capability Assessment 2026
You are not paying for the links; the free sources stay free. You pay for curation, maintenance, and the connector recipes that turn a raw endpoint into a working feed.
It depends on the source, and we treat that seriously. Each entry notes its terms of use and limits. When a source forbids scraping, we say so.
For learning and first-draft work, yes. For client-grade output, we mark exactly where you need to step up to a paid or institutional source.
No. Knowing which source to trust and where its coverage ends is itself a core analyst skill. Building on affordable data makes you a sharper operator.