OVERVIEW/ADVANCED
ADVANCED_TIER // SYSTEM_STATE: CRITICAL_EXECUTION

High-Level Autonomous Systems

Experimental agents designed for recursive reasoning, large-scale data synthesis, and complex multi-modal decision making.

11 AGENTSSTATUS: OPERATIONALSCHEMA: V.1.0

/FEATURED_AGENT

INVEST_ADVISOR

00

Investment Advisor

A 4-agent CrewAI pipeline that gathers financial data, researches latest news, synthesizes analysis, and generates structured investment recommendations with Pydantic output and guardrails. Single stock uses parallel execution; multiple stocks use distributed async crews.

Py_3.12CrewAIOpenRouteryfinanceEXA_SearchPydanticGuardrails
RUN FEATURED DEMO
agent_log // investment-advisor
STREAM_LIVE
[0:00.00][BOOT]Initializing Investment Advisor — V1 PARALLEL PIPELINE
[0:00.40][INFO]Target: AAPL | LLM: openai/gpt-4.1 via OpenRouter
[0:00.80][INFO]Phase 1: Data Explorer + News Researcher running in PARALLEL
[0:01.20][BOOT][AAPL] Initializing Data Explorer (Agent 1/4)
[0:01.60][INFO][AAPL] Data Explorer — processing AAPL data
[0:02.00][PROCESS][AAPL] Data Explorer — Fetching financials via yfinance
[0:02.40][OK][AAPL] Data Explorer — output ready
[0:02.80][BOOT][AAPL] Initializing News Researcher (Agent 2/4)
[0:03.20][INFO][AAPL] News Researcher — processing AAPL data
[0:03.60][PROCESS][AAPL] News Researcher — Searching latest news via EXA
[0:04.00][OK][AAPL] News Researcher — output ready
[0:04.40][OK]Phase 1 complete — both agents finished in parallel
[0:04.80][INFO]Phase 2: Data Analyst + Financial Expert running SEQUENTIALLY
[0:05.20][BOOT][AAPL] Initializing Data Analyst (Agent 3/4)
[0:05.60][INFO][AAPL] Data Analyst — processing AAPL data
[0:06.00][PROCESS][AAPL] Data Analyst — Synthesizing financial data + news
[0:06.40][OK][AAPL] Data Analyst — output ready
[0:06.80][BOOT][AAPL] Initializing Financial Expert (Agent 4/4)
[0:07.20][INFO][AAPL] Financial Expert — processing AAPL data
[0:07.60][PROCESS][AAPL] Financial Expert — Generating InvestmentRecommendation (Pydantic)
[0:08.00][OK][AAPL] Financial Expert — output ready
[0:08.40][OK]Phase 2 complete — analysis and recommendation ready
[0:08.80][SUCCESS]Pipeline complete — 4/4 agents finished | Guardrail: PASSED
system@agent-archive:~$

/AGENT_INDEX

ALL AGENTS

01_/_ADVANCED
ACTIVE
HIRING

Hiring Pipeline

Multi-agent pipeline that ingests a resume, builds a profile, matches it to live roles, and drafts personalized outreach for each match.

Py_3.12CrewAI
deployed
RUN DEMO
02_/_ADVANCED
ACTIVE
FACT

News Fact-Checker

Decomposes a claim into atomic assertions, retrieves primary sources, and rates each assertion with citations.

Py_3.12CrewAI
experimental
RUN DEMO
03_/_ADVANCED
ACTIVE
PRICE

Price Intelligence

Tracks a product's price across competitors, detects pricing anomalies, and recommends a positioning move.

Py_3.12CrewAI
deployed
RUN DEMO
04_/_ADVANCED
ACTIVE
CRYPTO

Crypto Portfolio Advisor

Reads a portfolio, scores concentration risk, and recommends rebalancing moves with target weights and rationale.

Py_3.12CrewAI
experimental
RUN DEMO
05_/_ADVANCED
ACTIVE
REPO

Repo Health Auditor

Audits a GitHub repo across velocity, contributor health, CI reliability, and review hygiene with a single scorecard.

Py_3.12CrewAI
deployed
RUN DEMO
06_/_ADVANCED
ACTIVE
TRAVEL

Travel Planner

Builds a multi-day itinerary from a destination, dates, and travel style, with weather-aware day plans.

Py_3.12CrewAI
stable
RUN DEMO
07_/_ADVANCED
ACTIVE
SALES

Account Sales Intel

Builds a sales-ready brief on a target account: org chart, recent signals, buying triggers, and entry point.

Py_3.12CrewAI
deployed
RUN DEMO
08_/_ADVANCED
ACTIVE
LICENSE

License Auditor

Walks a dependency tree, identifies copyleft and source-available risks, and produces a counsel-ready remediation plan.

Py_3.12CrewAI
experimental
RUN DEMO
09_/_ADVANCED
ACTIVE
CONTENT

Content Repurposer

Takes one long-form post and produces a tweet thread, a LinkedIn essay, and a 60-second video script - same thesis, native voice each.

Py_3.12CrewAI
stable
RUN DEMO
10_/_ADVANCED
ACTIVE
ENERGY

Energy Optimizer

Reads a building's hourly usage and tariff schedule and prescribes load-shifting moves to lower the monthly bill.

Py_3.12CrewAI
experimental
RUN DEMO
DEMO_ENVIRONMENT // STATUS: IDLE
SESSION_ID: 0x82FB4
# INPUT_PROMPT
>>> input.stock = "AAPL"
# SYSTEM_PROMPT
You are INVEST_ADVISOR running tier ADVANCED.
Pipeline: Data Explorer -> News Researcher -> Data Analyst -> Financial Expert.
system@agent-archive:~$
EXECUTION STAGE
[BOOT]Initializing Investment Advisor — V1 PARALLEL PIPELINE
[INFO]Target: AAPL | LLM: openai/gpt-4.1 via OpenRouter
[INFO]Phase 1: Data Explorer + News Researcher running in PARALLEL
[BOOT][AAPL] Initializing Data Explorer (Agent 1/4)
{
  "action": "HOLD",
  "confidence": 0.7,
  "target_price": 300,
  "current_price": 271.06,
  "reasons": [
OPEN FULL DEMO