Forecast Accuracy & Track Record MCP
Related Servers
Alternatives to Forecast Accuracy & Track Record MCP
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityAmaintenanceEnables natural-language research and structured, source-backed answers across SEC filings, earnings transcripts, company financials, stock and crypto market data, and prediction markets news and research.-
- AlicenseNot gradedqualityBmaintenanceEnables clients to search, read, and verify sealed forecasts and public-record cards, inspect resolution calendars, engine strands, sensor alerts, and wire headlines, and check whether stories are independent events or echoes. All access is read-only and requires no key, account, or dependencies.9 npm1Apache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables natural-language questions to retrieve structured, source-backed answers from SEC filings, earnings transcripts, company financials, stock and crypto market data, and prediction markets news and research. It orchestrates public and prediction market intelligence workflows for investors, analysts, and researchers.MIT
- FlicenseNot gradedqualityAmaintenanceEnables users to ask natural-language questions and receive structured, source-backed answers across public filings, earnings transcripts, company financials, stock and crypto market data, and prediction market news and research.-
- FlicenseNot gradedqualityAmaintenanceEnables users to ask natural-language questions and receive structured, source-backed answers across public filings, earnings transcripts, company financials, stock and crypto market data, news, and prediction markets research.-
- AlicenseNot gradedqualityAmaintenanceEnables users to ask natural-language questions and receive structured, source-backed answers across SEC filings, earnings transcripts, company financials, stock and crypto market data, and prediction markets news and research.MIT
TDQS
Scored across 7 tools
Each tool targets a distinct data source (institutional calibration, economic calendar, EPS estimates, Kalshi, Polymarket, Wayback, Google News), so misselection risk is low. Minor overlap: Kalshi and Polymarket both return prediction-market pricing, and Wayback/Google News could be confused as generic 'search news/history' utilities in a forecast-accuracy context.
All seven tools follow a uniform 'vendor--actor-slug' convention with descriptive kebab-case suffixes, which is predictable and scannable. It deviates from the verb_noun ideal and the vendor prefixes add noise, but consistency is high.
Seven tools is well-scoped for a curated research bundle, and each contributes a distinct angle on forecast accuracy or its corroborating evidence. No filler or duplicated capabilities.
Core coverage exists (institutional track records, analyst estimate vs actual, prediction-market odds, historical snapshots for verification), but the surface is thin on lifecycle operations like scoring a custom forecast or comparing multiple institutions head-to-head. Wayback and Google News feel like auxiliary gap-fillers rather than completing the stated domain.