Public Intelligence Overview
Public Intelligence is the TradeOS workflow for turning crypto evidence into human-readable research. It is designed for thesis review, alerting, feedback, and dry-run publishing before any content is sent to public platforms.
The goal is to help readers understand what TradeOS is seeing without requiring them to be quant researchers or protocol insiders. A good public thesis should make the background, token identity, supporting evidence, risk, uncertainty, and material-change triggers understandable to traders, long-term investors, builders, and curious people.
It is not a trading signal service and it cannot guarantee that an asset is safe. A public thesis explains what TradeOS is watching, why it may matter, what the supporting evidence says, what is uncertain, what could be risky, and what would change the view.
What the workflow produces
The publisher currently supports these human-facing outputs:
| Output | Purpose |
|---|---|
| Thesis Watchlist Pulse | Daily ranked watchlist showing the strongest and weakest active research setups |
| New Thesis Candidates | Daily candidate theses that may deserve a public research draft |
| Material Change Alerts | Daily alerts when source evidence changes enough to affect an active thesis |
| Token Risk Digest | Weekly review of liquidity, sellability, contract, and identity risk |
| Outcome Follow-Up | Weekly review of resolved, stale, corrected, or invalidated theses |
| Thesis Checkpoints | Monthly checkpoint candidates for longer-running active theses |
| Narrative Radar | Monthly digest for sector rotation and long-horizon narrative drift |
How a draft is built
The service follows a source-first process:
- TradeOS fetches structured inputs from approved source adapters.
- The inputs are normalized into an evidence pack with source, timestamp, claim, freshness, confidence, chain, and contract context where available.
- Deterministic templates create the first draft and enforce required sections.
- The LLM may rewrite the draft into clearer prose, but it must stay inside the evidence pack.
- Policy gates check source coverage, claim safety, freshness, duplication, channel limits, and dry-run state.
- The result is sent for operator review by email and stored as a dry-run platform publication.
- Review decisions, corrections, material changes, and later outcomes are recorded for follow-up.
The practical rule is simple: no source, no claim.
Feedback and follow-up
Public Intelligence is not a one-shot writing workflow. TradeOS tracks whether a thesis is strengthened, weakened, invalidated, stale, unresolved, or materially changed. That memory helps the system improve future watchlists, follow-ups, evidence ranking, claim framing, and operator review queues.
This is how the public research layer stays honest: a thesis should not only sound good when published. It should remain connected to what happened later.
Why chain and contract identity matter
Crypto symbols are not unique. The same ticker can appear on multiple chains, and fake or scam tokens can imitate a legitimate project. Public thesis outputs therefore include chain and contract identity where available, so readers can tell which asset TradeOS is referring to.
This is especially important for meme, Base, AI, DeFi, and long-tail assets where symbol collisions are common.
Review before publishing
The dry-run setup exists so public writing can be tuned before it reaches platforms:
- email notifications show the full review copy;
- platform output can be reviewed as a draft before live publishing is enabled;
- operators can pause publishing or use the kill switch if the workflow behaves unexpectedly.
Public intelligence should be readable, source-backed, and honest about uncertainty. It should not sound like an internal dump, and it should not imply that TradeOS is telling the reader to buy or sell.