A signal is a structured takeaway drawn from the most strategically relevant parts of a source. A signal may represent a full article, a segment of a podcast, a section of an SEC filing, or any other discrete unit of content worth tracking. Gildea processes signals daily through an automated pipeline, prioritizing what materially changes the strategic picture.
What gets ingested
Gildea ingests from a curated set of 500+ sources across these formats:
| Format | Examples |
|---|
| Essays | Blog posts, newsletters, long-form analysis |
| News articles | Industry reporting, first-party announcements |
| Podcasts | Transcribed and decomposed |
| SEC filings | 10-Ks, 10-Qs, 8-Ks, proxy statements |
| Research papers | Academic and industry research |
| Social media | Expert discourse and announcements |
| Earnings transcripts | Quarterly earnings calls |
| Press releases | Product launches, partnerships, policy announcements |
Two types of signals
Every signal is classified into one of two content types:
Event signals
Key development signals sourced from global reporting and first-party announcements.
| Decomposition | Description |
|---|
| Summary | What happened, broken into individual sentences |
| Claims | Specific factual assertions extracted from the source |
Expert analysis signals
Expert analysis signals from leading researchers, operators, investors, and analysts who explain what developments mean.
| Decomposition | Description |
|---|
| Thesis | The author’s core argument, broken into individual sentences |
| Arguments | Supporting arguments, each with its own sentences and claims |
| Claims | Specific factual assertions within the argument |
Decomposition structure
Expert analysis signals
Event signals
Text units
All decomposed pieces are text units. This is the fundamental atom of Gildea’s data model.
| Unit type | Found in | Scoring mode |
|---|
thesis_sentence | Expert analysis signals | regression |
argument_sentence | Expert analysis signals | regression |
summary_sentence | Event signals | regression |
analysis_claim | Expert analysis signals | nli |
event_claim | Event signals | nli |
Every text unit has:
- A verification verdict (only
pass is served)
- A scoring mode (
nli for claims, regression for sentences)
- A primary score (method-specific, do not compare across modes)
Claims and sentences use different scoring methods. Do not compare primary scores between nli and regression modes.
Signal card vs. signal detail
The list endpoint returns lightweight signal cards with metadata and a decomposition_text preview (thesis or summary text).
The detail endpoint returns the full decomposition tree with all verified text units. Use include=evidence for source evidence snippets.
See Progressive Disclosure for the full pattern.