Enterprise Data Feed Offerings

Pre-purchase intelligence feeds and model outputs for investment research teams tracking consumer and B2B demand across public and private companies.

Earlier than reported results

Measure changes in demand and attention before they appear in financial statements or transaction data.

Mapped to companies and KPIs

Connect consumer, enterprise, social, and business events to the companies and metrics your team follows.

Built for research workflows

Use standardized feeds, model outputs, and integrations in dashboards, notebooks, alerts, and internal tools.

Feeds, models, and integrations for your research stack

Use standardized data products for broad coverage or combine source-level signals and models in custom company, sector, and KPI workflows.

Trackers Feed

Standardized time-series trackers across consumer usage, social interest, ecommerce demand, and developer activity.

  • Historical time series
  • Comparable across companies

Data Source Trends Feed

Underlying source-level KPIs, tickerized and structured for deeper analysis and custom research workflows.

  • Source-specific metrics
  • Useful for custom modeling

KPI Tracking Feed

Forecast outputs with revision history for revenue, KPIs, and other tracked business metrics.

  • Latest forecast values
  • Revision direction and velocity

Social Discussion Feed

Track which products, brands, and companies are gaining or losing attention across major social channels.

  • Volume and growth
  • Topic, narrative, and regional tracking

Catalyst Feed

Detect emerging products, platform shifts, launches, partnerships, and events that may become catalysts.

  • Consumer, B2B, TMT, and more
  • Event and launch monitoring

TickerTrends MCP

Connect data directly into AI-enabled research workflows through a structured MCP layer for fast retrieval.

  • Available with Core and KPI Tracking Suite
  • Designed for AI tooling

Event Impact Model

Input an event and receive a structured output defining its expected impact on a target reported company metric.

  • Event-to-metric mapping
  • Impact before financials or transactions

Forecasting Model API

Use a flexible model layer for converting structured demand data into KPI forecasts and supporting context.

  • Flexible input structures
  • Forecast output with context

Bring TickerTrends into your research workflow

Review the documentation, compare available plans, or talk with the team about coverage and custom delivery requirements.