AGENT_02 · Financial Intelligence Terminal
Scout 2.0
Autonomous financial information research workspace. Integrates market quote telemetry, Agent Reach multi-channel discovery, primary filing escalation, source independence verification, and evidence-grounded intelligence.
REST QuotesMarket Telemetry
2.0σ Z-ScoreAnomaly Engine
Agent Reach 14xChannel Ingestion
SHA-256Evidence Deduplication
ACTIVETerminal Status
AGENT REACH CHANNELS:
News RSS & Wires
Official Filings & IR
Reddit Discussions
YouTube Video Intel
X / Twitter Streams
Deduplication & Provenance Enabled
// RESEARCH TICKER OR CORPORATE ENTITY
Quick Research:
Tata Motors (TATAMOTORS.NS)
Reliance (RELIANCE.NS)
Nvidia (NVDA)
Tesla (TSLA)
Apple (AAPL)
// ANOMALY SIMULATION & HISTORICAL CASE STUDY
Synthetic Bankruptcy Smear Anomaly Scenario
This reference case study demonstrates how Scout's statistical dispersion model flags volume anomalies while autonomous Agent Reach queries regulatory portals (SEBI/NSE/SEC) to falsify coordinated short-seller rumors before market panic escalates.
-5.8% Δ
Simulated Sell-off
0 Filings
Regulatory Portal Cross-Check
// SCOUT 2.0 — ARCHITECTURAL PIPELINE SPECIFICATION
StageOperationComplexityOutput
01 · INGEST
Exchange REST quote ingestion + Historical 5-day closing series. SHA-256 deduplication per retrieved record.
O(N)
quote bundle
02 · Z-SCORE
Statistical dispersion Z = (P_t − μ) / σ. Threshold |Z| ≥ 2.0σ triggers anomaly alert.
O(1)
Z-score Δ
03 · DISPATCH
Agent Reach concurrent multi-channel dispatch across News wires, Regulatory filings, Reddit, X/Twitter, and YouTube.
O(channels)
evidence_fragments[]
04 · SYNTHESIS
Source provenance tagging, syndication clustering, catalyst extraction, contradiction matrix, and W-MSR consensus.
O(k log k)
research terminal dossier