15 applications for live data, research and AI agents

1. Prediction market evidence briefs. Join a contract's resolution rule to macro, weather, event or news observations, then produce a timestamped brief for a human researcher. Search intent: prediction market research data, Kalshi research tools, prediction market API data. See the full workflow.
2. Probability calibration notebooks. Store a model's forecasts alongside the evidence available at each decision time and score them after resolution. Pronto contributes dated observations; the application owns probability models, exchange data and backtests. Search intent: prediction market probability model, forecast calibration data.
3. Cross-market event monitoring. Let analysts compare the same real-world event across an exchange, a configured Manifold feed and primary sources. Contract wording, settlement and liquidity must be checked separately. Search intent: event market monitoring, market probability data aggregator.
4. Quant signal triage. Filter source-linked changes and explainable Fusion indicators before spending analyst time on a candidate. This is a research queue, not an automated trading signal. Search intent: quant research data API, alternative data for quants.
5. Macro regime watchlists. Monitor releases and documented indicators such as recession risk or policy gaps, with revisions and observation time retained. Search intent: macroeconomic data for AI agents, recession indicator API.

6. Climate and catastrophe research. Combine hazard alerts with original agency records for insurer, logistics or portfolio research. Distinguish a forecast from an observed loss. Search intent: weather risk data API, catastrophe event intelligence.
7. Energy and carbon operations. Compare grid observations and transparent carbon-intensity calculations when assessing dispatch or procurement scenarios. Search intent: energy grid data API, carbon intensity data for AI.
8. Supply-chain disruption watch. Bring maritime, weather, seismic and security observations into one dated incident queue for operations teams. Search intent: supply chain risk data API, maritime disruption monitoring.
9. Public-health early context. Track published outbreak and epidemiological observations with their issuing source and date. This supports research triage, not a diagnosis. Search intent: public health data aggregator, outbreak monitoring API.
10. Physical-event verification. Compare independent earthquake reports and the seismic consensus method before a newsroom or risk desk republishes a claim. Search intent: earthquake data API, event verification AI.

11. Source-linked news research. Monitor what changed, collect primary records and give editors a verifiable timeline. Attention indicators describe coverage, not whether a headline is true. Search intent: real-time news research API, AI news intelligence.
12. Evidence-first analyst copilots. Have an agent search and fetch live records over MCP, cite original sources and state what is missing. Search intent: real-time data MCP server, cited AI research agent.
13. Due-diligence change alerts. Watch public filings, macro releases and relevant events for a named company or sector; require entity matching and human review before use. Search intent: due diligence data API, SEC filing alerts for AI.
14. Scientific horizon scanning. Track preprints and research momentum, then inspect paper metadata and methods before making an R&D claim. Search intent: research trend API, scientific literature signals.
15. Customer-facing data products. Build a niche dashboard, research newsletter or paid agent around a transparent event timeline and the underlying permitted sources. Check each source's redistribution terms before publishing derived data. Search intent: white-label data aggregator, build an AI research product.

Choose a buyer, one recurring decision and the evidence that changes it. Confirm that the relevant source is available, current and licensed for the proposed use. Build a small workflow with Pronto's MCP tools, preserving source URL, observation time, missing inputs and the calculation method. Measure saved analyst time or task completion before projecting revenue. For market use, evaluate calibrated forecasts and net results over many decisions, including fees and failures.

Pronto supplies a browser wire, MCP access to signals and documented Fusion indicators. It does not supply a Kalshi trading connection, guarantee profitable trades, or make every upstream source available at every moment. See the source guide, Fusion methods and current access plans.