Market intelligence from live web data
By The ClickSet Team, Product & Research, ClickSet
ClickSet pulls news, filings, job postings, sentiment signals, and other web data into structured tables for alpha generation, risk modeling, and forecasting. You can run AI anomaly detection and trend analysis across datasets, and refresh everything on a schedule so your models always run on current data.
Markets move on signals that are scattered across the web, in filings, hiring patterns, news, and sentiment. Pulling those into one analyzable place is usually a patchwork of vendors and scripts. ClickSet consolidates the collection layer so analysts can spend their time on the model instead of the plumbing.
Why signal collection is the bottleneck
The signals that matter live in different formats across different sites, and stitching them into a single dataset takes more engineering than analysis. Each new source adds another fragile integration to maintain.
Stale data quietly poisons models. If a feed lags or breaks, a forecast can run on numbers that no longer reflect the market, and the failure is often invisible until the prediction is wrong.
How ClickSet does it
- 1
Define your signals
Describe the news, filings, hiring data, and sentiment sources you want, and ClickSet structures them into analyzable tables.
- 2
Consolidate the sources
Multi-source fusion brings disparate feeds into one schema with deduplication, so you analyze a clean dataset rather than a pile of formats.
- 3
Detect anomalies and trends
Run AI anomaly detection and trend analysis across the data to surface the movements worth investigating.
- 4
Keep it current
Schedule refreshes so models and dashboards always run on the latest data, with full history retained for backtesting.
What powers it
Multi-source fusion
Combine filings, news, hiring, and sentiment into one structured table with deduplication.
Scheduled refreshes
Keep datasets current on a cadence so forecasts never run on stale inputs.
AI operations
Apply anomaly detection, trend analysis, and classification across the full dataset.
API access
Feed live datasets into your models and dashboards through one endpoint.
What you get
- One analyzable table instead of a patchwork of feeds.
- Anomaly and trend detection across every signal.
- Scheduled refreshes so models run on current data.
- Full history retained for backtesting and risk work.
From raw signals to a working model
Analysts rarely want raw feeds; they want features. Once sources are fused into one table, teams layer AI operations on top to derive the signals their models actually consume, such as sentiment scores, hiring momentum, or filing frequency. The collection layer and the feature layer live in the same place, which removes a whole class of handoff errors.
Retained history makes the difference between a dashboard and a research tool. Because every refresh is stored, analysts can backtest a hypothesis against months of data, validate that a signal would have predicted past moves, and only then promote it into a live forecast or risk model.
Who uses this
Market intelligence is core to data science, research, and revenue strategy functions. Quant and research teams build signals, while operations and revenue teams use the same datasets for forecasting and planning.
Frequently asked questions
What kinds of signals can I collect? +
Common sources include news, regulatory filings, job postings, and sentiment signals. Any public web data can be structured into a table and combined with the rest through multi-source fusion.
Can I detect anomalies automatically? +
Yes. You can run AI anomaly detection and trend analysis across your datasets, so unusual movements surface without manual review of every row.
How do I keep the data current? +
Schedule refreshes at the cadence your models need. ClickSet re-gathers the sources and retains history so you can both forecast and backtest.
What does it cost? +
ClickSet starts on a free plan and uses a usage-based model with a prepaid balance and per-key spend caps. See the pricing page for current details.
Further reading
See how ClickSet handles your data workload
Describe the dataset you need, enrich it with hundreds of LLMs, and query the result through one API. Start on the free plan.