Capacitr maps news and social posts to trading opportunities, then lets users research and act through a chat agent. Sage decides whether each item needs analysis or whether existing research is enough.

Levanto Sage acts as the intelligent front door for our entire AI pipeline. By making instant, micro-cent decisions on what’s actually worth processing, it cuts out untradeable noise and cuts our downstream AI and search API costs in half, all while keeping response times practically instant.
Co-Founder & CTO, Capacitr
Filtering before the expensive work happens
In a 30-day sample, 11,437 of 25,743 classified items produced no tradeable markets. Each had already incurred extraction, enrichment, matching, and judging costs.
Capacitr’s savings figures account for Sage’s publish gate filtering approximately 380 such items per day before downstream analysis. A separate enrichment gate evaluates whether fresh web research is needed, avoiding an estimated 19,500 metered search calls per month.
Inside Capacitr

Six decisions in application code
| Surface | Question | What the app does |
|---|---|---|
| Publish gate | Tags | Classify content before market analysis. |
| Enrichment gate | Yes/No | Decide whether fresh research is needed. |
| Market ranking | Sort | Order matched markets by confidence and remaining profit potential. |
| Trade guardrail | Choice | Check that calls to eight money-moving tools trace to the user’s request. |
| Scope gate | Choice | Check whether a chat turn is in product scope. |
| Signal freshness | Scale, 0–4 | Assess whether a catalyst has passed or been overtaken. |
Each gate ran in shadow mode first. Feed quality on production data held, so the team switched the gates on.
Observed in the integration
- Under 100 ms per Sage decision, as reported by Capacitr across its six integration surfaces.
- Zero observed false positives across 152 audited money-moving tool calls.
- Zero reported vendor-side incidents over two months of production traffic.
Source
Capacitr’s integration write-up and all figures, supplied by its team, September 2026.

