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FinRobot — AI Agent Platform for Finance

AI4Finance Foundation's multi-agent platform for financial tasks — market forecasting, report generation, portfolio management, and earnings analysis.

@ai-supply
Installs34k
⟳ upstream desktop-v0.1.0 · updated 19d ago
↗ Source repository
← More FinanceFinance leaderboard →How we grade security →Source ↗
! Grade B · 75/100 · ReviewSecurity assessment
✓No compromise signals20capabilities surfaced1known CVE5of 20 OWASP controls clear
External endpoints declaredSuspicious code patternsSuspicious network referencesBroad capability surface
scanned 14d ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

FinRobot — AI Agent Platform for Finance

FinRobot is an open-source AI agent framework purpose-built for financial applications. It provides a multi-layer architecture: a Smart Scheduler orchestrates specialised financial agents (market forecasters, report generators, earnings analysts, risk managers) that share a common toolset — data connectors, LLM adapters, and quantitative utilities.

Key Features

  • Pre-built financial agents: CIOAgent, PortfolioManagerAgent, ForecasterAgent, ReportWriterAgent
  • Integrates with AutoGen, LangChain, and custom agent loops
  • Data connectors: Yahoo Finance, SEC EDGAR, FRED, Bloomberg (via SDK)
  • LLM backends: OpenAI, Anthropic, local models via Ollama
  • Automated 10-K / 10-Q narrative analysis and financial report generation

Quick Start

from finrobot.agents import ForecasterAgent
from finrobot.data_source import YFinanceData

data = YFinanceData().fetch("NVDA", start="2023-01-01", end="2024-12-31")
agent = ForecasterAgent(llm="gpt-4o", horizon_days=30)
forecast = agent.run(data)
print(forecast.summary)
npx ai-supply add finrobot-ai-finance-agent

Curated mirror of the open-source FinRobot (Apache-2.0). Get it from the source.

Rating rank
#1
of 15 in Finance
Install rank
#10
of 15 in Finance
Security score
75/100 · B
review
Security rank
#8
of 15 in Finance
Installs
34k
cat avg 85k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
cat avg
Adoption trend
See the Finance leaderboard →
! Security: Review · 7575/100 · grade Bscanned 14d ago
✓ no compromise signals21 risk-surface · 9/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

What this capability can do · med confidence (static)
⚑ filesystem⚑ shell⚑ network⚑ secrets
egress → static.pepy.tech, pepy.tech, img.shields.io, discord.gg, www.python.org, pypi.org, arxiv.org, api.visitorbadge.io +18

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM03Supply Chaincritical
Vulnerable/compromised dependencies, models or archives in the artifact.
•Dependency manifest — 10 pip requirements declared · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/core/requirements.txtrisk surface
•Dependency manifest — 34 pip requirements declared · AI4Finance-Foundation-FinRobot-297a8d2/requirements.txtrisk surface
•Vulnerable dependencies — 148 known vulnerabilities in: idna@3.9.0, pillow@9.5.0, tqdm@4.9.0, requests@2.31.0, aiohttp@3.8.5, langchain@0.1.20, nltk@3.8.1, pdfkit@1.0.0 (CWE-1395)known CVE · -25 pts
⚠LLM01Prompt Injectionhigh
Adversarial instructions embedded in an artifact that hijack a downstream LLM.
•Prompt-injection phrasing — instruction-subversion language detected · AI4Finance-Foundation-FinRobot-297a8d2/configs/save_config_forecaster.json (CWE-77)risk surface
⚠LLM05Improper Output Handlinghigh
Code that pipes model/user output into shell, eval, SQL or paths unsafely.
•Suspicious code patterns — destructive rm -rf / · AI4Finance-Foundation-FinRobot-297a8d2/Dockerfile (CWE-78)risk surface
•Suspicious code patterns — dynamic code execution · AI4Finance-Foundation-FinRobot-297a8d2/finrobot/agents/workflow.py (CWE-95)risk surface
•Suspicious code patterns — OS command execution · AI4Finance-Foundation-FinRobot-297a8d2/finrobot/data_source/finance_data.py (CWE-78)risk surface
•Suspicious code patterns — environment/secret exfiltration · AI4Finance-Foundation-FinRobot-297a8d2/finrobot/data_source/sec_utils.py (CWE-200)risk surface
⚠LLM06Excessive Agencyhigh
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 1 distinct host(s) · AI4Finance-Foundation-FinRobot-297a8d2/.gitmodulesrisk surface
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege · AI4Finance-Foundation-FinRobot-297a8d2/README.md (CWE-272)risk surface
•Egress to a private/loopback host — 127.0.0.1 · AI4Finance-Foundation-FinRobot-297a8d2/README.md (CWE-918)risk surface
•External endpoints declared — 16 distinct host(s) · AI4Finance-Foundation-FinRobot-297a8d2/README.mdrisk surface
•External endpoints declared — 2 distinct host(s) · AI4Finance-Foundation-FinRobot-297a8d2/finrobot/data_source/filings_src/prepline_sec_filings/fetch.pyrisk surface
•External endpoints declared — 3 distinct host(s) · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/README.mdrisk surface
•External endpoints declared — 4 distinct host(s) · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/core/config/config.ini.examplerisk surface
•Broad capability surface — 4 high-impact capability categories referenced — verify least-privilege · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/web_app/main.py (CWE-272)risk surface
•External endpoints declared — 5 distinct host(s) · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/web_app/templates/index.htmlrisk surface
⚠LLM07System Prompt Leakagemedium
Secrets, internal hosts or proprietary logic exposed in shipped prompts.
•Internal host / private infrastructure reference — shipped content references a private IP range or internal-only host · AI4Finance-Foundation-FinRobot-297a8d2/tutorials_beginner/agent_rag_earnings_call_sec_filings.ipynb (CWE-200)risk surface
•Low-confidence secret match — 1 possible: generic-api-key · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/core/src/generate_financial_analysis.py (CWE-798)risk surface
⚠LLM02Sensitive Information Disclosurelow
Secrets, credentials or PII shipped inside the artifact.
•Low-confidence secret match — 1 possible: generic-api-key · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/core/src/generate_financial_analysis.py (CWE-798)risk surface
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
◷LLM10Unbounded ConsumptionRuntime-enforced
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
✓LLM08Vector and Embedding WeaknessesPassed
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
OWASP Machine Learning Security Top 10
⚠ML06AI Supply Chaincritical
Compromised PyPI/npm packages, typosquats, unsafe serialized models.
•Dependency manifest — 10 pip requirements declared · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/core/requirements.txtrisk surface
•Dependency manifest — 34 pip requirements declared · AI4Finance-Foundation-FinRobot-297a8d2/requirements.txtrisk surface
•Vulnerable dependencies — 148 known vulnerabilities in: idna@3.9.0, pillow@9.5.0, tqdm@4.9.0, requests@2.31.0, aiohttp@3.8.5, langchain@0.1.20, nltk@3.8.1, pdfkit@1.0.0 (CWE-1395)known CVE · -25 pts
⚠ML02Data Poisoninghigh
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
•Prompt-injection phrasing — instruction-subversion language detected · AI4Finance-Foundation-FinRobot-297a8d2/configs/save_config_forecaster.json (CWE-77)risk surface
⚠ML09Output Integrityhigh
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
•Suspicious code patterns — destructive rm -rf / · AI4Finance-Foundation-FinRobot-297a8d2/Dockerfile (CWE-78)risk surface
•Suspicious code patterns — dynamic code execution · AI4Finance-Foundation-FinRobot-297a8d2/finrobot/agents/workflow.py (CWE-95)risk surface
•Suspicious code patterns — OS command execution · AI4Finance-Foundation-FinRobot-297a8d2/finrobot/data_source/finance_data.py (CWE-78)risk surface
•Suspicious code patterns — environment/secret exfiltration · AI4Finance-Foundation-FinRobot-297a8d2/finrobot/data_source/sec_utils.py (CWE-200)risk surface
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
Other findings (10) · hygiene / uncategorized
•Unrecognized file type — '.dockerignore' is not on the allowlist · AI4Finance-Foundation-FinRobot-297a8d2/.dockerignorerisk surface
•Unrecognized file type — '.gitignore' is not on the allowlist · AI4Finance-Foundation-FinRobot-297a8d2/.gitignorerisk surface
•Unrecognized file type — '.gitmodules' is not on the allowlist · AI4Finance-Foundation-FinRobot-297a8d2/.gitmodulesrisk surface
•Unrecognized file type — '.?' is not on the allowlist · AI4Finance-Foundation-FinRobot-297a8d2/Dockerfilerisk surface
•Suspicious network references — raw IP URL (60 URLs) · AI4Finance-Foundation-FinRobot-297a8d2/README.mdrisk surface
•Suspicious network references — raw IP URL (5 URLs) · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/README.mdrisk surface
•Unrecognized file type — '.example' is not on the allowlist · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/core/config/config.ini.examplerisk surface
•Suspicious network references — raw IP URL (2 URLs) · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/core/output/COP_Equity_Research_Report.htmlrisk surface
•Unrecognized file type — '.gitkeep' is not on the allowlist · AI4Finance-Foundation-FinRobot-297a8d2/finrobot_equity/web_app/data/.gitkeeprisk surface
•Suspicious network references — raw IP URL (1 URLs) · AI4Finance-Foundation-FinRobot-297a8d2/tutorials_beginner/ollama function call.ipynbrisk surface
✔ verified source · pinned AI4Finance-Foundation-FinRobot-297a8d2
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/finrobot-ai-finance-agent/check). Click a policy:

Consume FinRobot — AI Agent Platform for Finance programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/finrobot-ai-finance-agent

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/finrobot-ai-finance-agent/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add finrobot-ai-finance-agent

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/finrobot-ai-finance-agent/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "finrobot-ai-finance-agent" })
OpenAPI spec →
vlatest
! Security: Review · 751mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

Sign in and install this listing to leave a review.

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