tickerbot_scan
shallowio.github.tickerbot/mcp-server · Verify this server
Run a SQL WHERE clause against the live ticker universe (or against a past moment with `asof` — unlimited depth on every plan). Returns matching tickers sorted by chosen column, OR — with `group_by` — aggregate rollups instead of rows (breadth stats: "count of tickers above their 200dma by sector", "median RSI by sector on 2026-03-03"). The `q` grammar is a flat WHERE: column names from the schema, AND/OR/NOT, comparison operators, numeric/string literals. No JOIN or subqueries. Example: `gap_up AND market_cap < 2000000000 AND NOT earnings_this_week`.
1 trials · measured 8 days ago
tickerbot_scan scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.tickerbot/mcp-server, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote + stdio
- Credential class
- self-provisionable
- Category
- Finance & compliance
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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