Indicators

Indicators are how Trendtracker follows a topic through time. Raw events—deals, filings, publications, company activity—are rolled into structured signals tied to topics (and often organizations). Instead of a single snapshot, you get an evolving picture of whether a trend is heating up, cooling down, or shifting shape, so product and research workflows can answer “what changed, when, and with what evidence?”

Results are usually exposed in three shapes—not every indicator exposes all three in Connect today:

Time series

Time series give you measurements at points or intervals over time (counts, strengths, rates). They are the right input for trend charts, comparing periods, spotting inflection points, and normalizing or aligning several trends on a timeline. Analysts use them to build forecasting and prediction workflows: you can derive growth rates, seasonality, rolling windows, features for models, and early-warning rules—anything that needs a dense, ordered signal rather than a single headline number.

Proof points

Proof points are the underlying records behind the signal: individual deals, documents, events, or entities that support what the aggregates claim. They are what you use when you need traceability, narrative context, or qualitative depth—for example showing actuals in a report or feeding structured snippets into LLM agents (retrieval, summarization, Q&A over real citations instead of only summarizing chart values).

Summary statistics

Summary statistics roll activity into aggregate KPI-style snapshots for a chosen scope (topics, optional date bounds, and related filters): totals, distributions, or ranked breakdowns without stepping through every time bucket. They are ideal for dashboards, executive summaries, and fast comparisons when you do not need the full curve yet.

Indicator overview

Each row links to a dedicated page with usage notes and which response shapes (time series, proof points, summary statistics) apply for that indicator.