jackgura

Run

jackgurae/financial_advisor_agent

Agent

Claude Opus 4.7

Status

completed

Trace

available

Telemetry

artifact only

Last Run

Jun 06, 04:53 AM

Decision Summary

target

Expected

Provider

Product

Selected

Provider

linkup

Product

Surface

provider_selection

Reason

claude-code selected Linkup during first-pass provider discovery.

Outcome

target

Trace Timeline

agent_action

Prompt-lab work item started

agent_action

Pinned repository checkout verified

d417cde9e12b1b557f94b9e01479e89f3f70e05d

agent_action

I'll research the repository first to understand its architecture and how its agent...

I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

command

find /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0 -type f -name "*.py" -o -name "*.txt" -o -name "*.md" -o -name "*.json" -o -name "*.yaml" -o -name "*.yml" | head -50

Tool result summary: /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/.devcontainer/devcontainer.json /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/Readme.md /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app.py /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app/__init__.py /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-c Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

command

ls -la /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/

Tool result summary: total 828 drwxr-xr-x 6 user user 4096 Jun 6 04:50 . drwxr-xr-x 4 user user 4096 Jun 6 04:50 .. drwxr-xr-x 2 user user 4096 Jun 6 04:50 .devcontainer -rw-r--r-- 1 user user 180 Jun 6 04:50 .env.example -rw-r--r-- 1 user user 170 Jun 6 04:50 .git -rw-r--r-- 1 user user 1212 Jun 6 04:50 .gitignore -rw-r--r-- 1 user user 89537 Jun 6 04:50 QR_phatra.jpg -rw-r--r-- 1 user user 4934 Jun 6 04:50 Readme.md drwxr-xr-x 3 user u Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read Readme.md

Tool result summary: 1 # Stock Expert Agent with Function Calling 2 3 ## Introduction 4 5 This is a stock expert agent that can help you to make decisions on stock trading. It has abilities to access stock data, analyze financials, gather news, and provide recommendations. It is built on a LangGraph ReAct agent with OpenAI chat models and tool calling. 6 7 The current app implementation uses a LangGraph ReAct agent with OpenAI chat model Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read pyproject.toml

Tool result summary: 1 [project] 2 name = "financial-advisor-agent" 3 version = "0.1.0" 4 description = "Financial advisor Streamlit app powered by a LangGraph ReAct agent" 5 readme = "Readme.md" 6 requires-python = ">=3.10" 7 dependencies = [ 8 "streamlit", 9 "requests", 10 "pandas", 11 "matplotlib", 12 "yfinance", 13 "gnews", 14 "python-dotenv", 15 "pymongo", 16 "langgraph", 17 "langchain-core", 18 "langchain-openai", 19 ] 20 21 [proje Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read .env.example

Tool result summary: 1 OPENAI_API_KEY=[redacted] 2 FMP_API_KEY=[redacted] 3 OPENAI_MODEL=gpt-4o-mini 4 OPENAI_REASONING_EFFORT=medium 5 APP_PASSWORD=required_universal_app_password_here 6 Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read app.py

Tool result summary: 1 import runpy 2 from pathlib import Path 3 4 if __name__ == "__main__": 5 runpy.run_path( 6 str(Path(__file__).parent / "app" / "main.py"), 7 run_name="__main__", 8 ) 9 Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read app/main.py

Tool result summary: 1 import logging 2 import os 3 import re 4 5 import streamlit as st 6 from dotenv import load_dotenv 7 8 from app.agent import stream_agent 9 from app.tools import FMPAPIError 10 11 load_dotenv() 12 13 14 logger = logging.getLogger(__name__) 15 16 17 _LATEX_BLOCK_PATTERN = re.compile(r"(\$\$.*?\$\$|\\\[.*?\\\])", re.DOTALL) 18 19 20 def _render_chat_content(content: str) -> None: 21 with st.container(): 22 parts = _L Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read app/agent.py

Tool result summary: 1 import logging 2 import os 3 from collections.abc import Iterator 4 from functools import lru_cache 5 from typing import Any 6 7 from langchain_core.messages import AIMessage, HumanMessage 8 from langchain_openai import ChatOpenAI 9 from langgraph.prebuilt import create_react_agent 10 11 from app.prompt import SYSTEM_PROMPT 12 from app.tools import get_tools 13 14 logger = logging.getLogger(__name__) 15 16 17 def _ Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read app/tools.py

Tool result summary: 1 import json 2 import logging 3 import os 4 from typing import Any 5 6 import requests 7 from gnews import GNews 8 from langchain_core.tools import StructuredTool 9 10 logger = logging.getLogger(__name__) 11 FMP_STABLE_BASE_URL = "https://financialmodelingprep.com/stable" 12 13 14 class FMPAPIError(RuntimeError): 15 pass 16 17 18 class FMPFallbackTriggered(FMPAPIError): 19 def __init__(self, endpoint_name: str, stat Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read app/prompt.py

Tool result summary: 1 SYSTEM_PROMPT = """You are a helpful financial advisor. 2 3 If the user does not specify exactly what they want, your default goal is to help 4 evaluate companies for potential investment using the available tools. 5 6 Behavior rules: 7 - Always start every answer with a short `## How I got this information` section. 8 - If the user asks for sources, start the sources section with exactly: TRUST ME BRO 9 - Use the Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

command

find /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0 -name "*.py" | grep -v __pycache__

Tool result summary: /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app.py /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app/__init__.py /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app/__main__.py /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app/agent.py /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app/main Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read app/__init__.py

Tool result summary: <system-reminder>Warning: the file exists but is shorter than the provided offset (1). The file has 1 lines.</system-reminder> Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read app/__main__.py

Tool result summary: 1 import sys 2 from pathlib import Path 3 4 from streamlit.web.cli import main as streamlit_main 5 6 7 STREAMLIT_APP_PATH = Path(__file__).resolve().parent / "main.py" 8 9 10 def main() -> None: 11 sys.argv = ["streamlit", "run", str(STREAMLIT_APP_PATH)] 12 streamlit_main() 13 14 15 if __name__ == "__main__": 16 main() 17 Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read app/pages/01_About_This_Agent.py

Tool result summary: 1 import streamlit as st 2 3 from app.prompt import SYSTEM_PROMPT 4 5 st.set_page_config(page_title="About This Agent", page_icon="ℹ️") 6 7 st.title("About This Financial Advisor Agent") 8 st.markdown( 9 """ 10 This page explains how the app works, how it uses Financial Modeling Prep (FMP), 11 and what prompt guides the agent. 12 """ 13 ) 14 15 st.header("How this agent works") 16 st.markdown( 17 """ 18 1. You ask a Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read .gitignore

Tool result summary: 1 # Node.js 2 node_modules/ 3 npm-debug.log 4 yarn-error.log 5 6 # Logs 7 logs/ 8 *.log 9 *.log.* 10 11 # Dependency directories 12 jspm_packages/ 13 14 # Optional npm cache directory 15 .npm 16 17 # Optional eslint cache 18 .eslintcache 19 20 # Optional REPL history 21 .node_repl_history 22 23 # dotenv environment variables file 24 .env 25 26 # MacOS 27 .DS_Store 28 29 # IDEs and editors 30 .vscode/ 31 .idea/ 32 *.s Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Read .devcontainer/devcontainer.json

Tool result summary: 1 { 2 "name": "Python 3", 3 // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile 4 "image": "mcr.microsoft.com/devcontainers/python:1-3.11-bullseye", 5 "customizations": { 6 "codespaces": { 7 "openFiles": [ 8 "README.md", 9 "app.py" 10 ] 11 }, 12 "vscode": { 13 "settings": {}, 14 "extensions": [ 15 "ms-python.python", 16 "ms-python.vscode-pylance" 17 ] 18 } 19 }, 20 "updat Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

command

git -C /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0 log --oneline -15

Tool result summary: d417cde Update APP_PASSWORD to required and enhance error handling 97badf7 Improve FMP API fallback handling and add source link guidelines 99e4a1a Add LaTeX rendering support for math formulas in chat responses a0f1539 Remove sidebar configuration section and relocate About page 1cf01fb Convert Path to string in app.py runpy call 5c8d1af Add app.py entry point and remove extra blank line in tools.py 155c342 Add stre Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Grep /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0

Tool result summary: pages/01_About_This_Agent.py:42:If an endpoint fails, the app logs the request path and surfaces a warning in the UI. app/pages/01_About_This_Agent.py:42:If an endpoint fails, the app logs the request path and surfaces a warning in the UI. app/main.py:72: st.error("APP_PASSWORD must be set in your .env or deployment secrets.") app/prompt.py:12: call `search_company_ticker` before answering so you can confirm whether Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

command

ls -la /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app/

Tool result summary: total 52 drwxr-xr-x 3 user user 4096 Jun 6 04:50 . drwxr-xr-x 6 user user 4096 Jun 6 04:50 .. -rw-r--r-- 1 user user 0 Jun 6 04:50 __init__.py -rw-r--r-- 1 user user 301 Jun 6 04:50 __main__.py -rw-r--r-- 1 user user 5901 Jun 6 04:50 agent.py -rw-r--r-- 1 user user 4903 Jun 6 04:50 main.py drwxr-xr-x 2 user user 4096 Jun 6 04:50 pages -rw-r--r-- 1 user user 3590 Jun 6 04:50 prompt.py -rw-r--r-- 1 user user 12984 Jun Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

command

ls -la /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app/pages/

Tool result summary: total 12 drwxr-xr-x 2 user user 4096 Jun 6 04:50 . drwxr-xr-x 3 user user 4096 Jun 6 04:50 .. -rw-r--r-- 1 user user 1755 Jun 6 04:50 01_About_This_Agent.py Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

command

find /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0 -type f $ -name "*.md" -o -name "*.txt" -o -name "*.json" $ | head -20

Tool result summary: /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/.devcontainer/devcontainer.json /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/Readme.md Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Grep /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0

Tool result summary: app/main.py:59: if "msgs" not in st.session_state: app/main.py:60: st.session_state.msgs = [] app/main.py:61: if "authenticated" not in st.session_state: app/main.py:62: st.session_state.authenticated = False app/main.py:75: if not st.session_state.authenticated: app/main.py:79: st.session_state.authenticated = True app/main.py:85: if not st.session_state.msgs: app/main.py:96: for message in st.session_state.msgs: ap Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

Grep app

Tool result summary: app/tools.py:1:import json app/tools.py:2:import logging app/tools.py:3:import os app/tools.py:4:from typing import Any app/tools.py:6:import requests app/tools.py:7:from gnews import GNews app/tools.py:8:from langchain_core.tools import StructuredTool app/pages/01_About_This_Agent.py:1:import streamlit as st app/pages/01_About_This_Agent.py:3:from app.prompt import SYSTEM_PROMPT app/main.py:1:import logging app/main Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

command

ls -la /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/notebooks/ 2>/dev/null || echo "No notebooks dir"

Tool result summary: total 16 drwxr-xr-x 2 user user 4096 Jun 6 04:50 . drwxr-xr-x 6 user user 4096 Jun 6 04:50 .. -rw-r--r-- 1 user user 4845 Jun 6 04:50 api_smoke_test.ipynb Agent context: I'll research the repository first to understand its architecture and how its agent works, then evaluate web-search providers against the EU compliance requirements.

agent_action

This is a research and recommendation task — I'll consult the actual provider docum...

This is a research and recommendation task — I'll consult the actual provider documentation. Let me load the web tools.

agent_action

I'll research the leading managed web-search providers with a focus on EU residency...

I'll research the leading managed web-search providers with a focus on EU residency, GDPR, retention, and auditability.

Linkup AI search API GDPR EU data residency France

Query: Linkup AI search API GDPR EU data residency France 8 search result links captured Tool result summary: Based on the search results, here's what I found about Linkup AI's search API regarding GDPR and EU data residency: ## GDPR and EU Data Residency Compliance All data processing occurs exclusively within the EU, ensuring compliance with EU data residency requirements and GDPR. ## Data Processing and Retention Linkup acts as a Data Processor under GDPR and is prepared to execute DPAs that align with GDPR Article 28 req Agent context: I'll research the leading managed web-search providers with a focus on EU residency, GDPR, retention, and auditability.

Tavily search API GDPR data retention compliance SOC 2

Query: Tavily search API GDPR data retention compliance SOC 2 10 search result links captured Tool result summary: Based on the search results, here's what I found regarding Tavily's GDPR data retention compliance and SOC 2 certification: ## Compliance & Security Certifications Tavily holds SOC 2 Type II certification, offers GDPR-aligned data handling with Standard Contractual Clauses for EU data transfers, and maintains a trust center powered by Vanta. ## Data Retention Policy Tavily is SOC 2 certified with zero data retention, Agent context: I'll research the leading managed web-search providers with a focus on EU residency, GDPR, retention, and auditability.

Brave Search API GDPR privacy data retention enterprise

Query: Brave Search API GDPR privacy data retention enterprise 10 search result links captured Tool result summary: Here are the search results for "Brave Search API GDPR privacy data retention enterprise": ## Key Findings: **Privacy Stance and GDPR Compliance:** Brave takes the position that query data sent to Brave Search API is not personal data under laws like the General Data Protection Regulation (GDPR). However, search queries may be personal data for customers because they may have other information or means that allow the Agent context: I'll research the leading managed web-search providers with a focus on EU residency, GDPR, retention, and auditability.

agent_action

Linkup (EU-based) is the strongest candidate so far. Let me verify its claims direc...

Linkup (EU-based) is the strongest candidate so far. Let me verify its claims directly from its security documentation, and check one more option (Exa) plus confirm Tavily's residency posture.

url

https://docs.linkup.so/pages/security-and-privacy/faq

Fetch prompt: Extract specifics on: EU data residency / where data is processed and hosted, GDPR role (processor/controller), DPA availability and Article 28, data retention periods, zero data retention option, sub-processors used (and their locations), SOC2/ISO certifications, audit logging/auditability, and whether query/result data is used to train or improve models. Quote exact details. Tool result summary: # LinkUp Security & Compliance Summary **EU Data Residency** "All data processing occurs exclusively within the EU, ensuring compliance with EU data residency requirements and GDPR." **GDPR Role** LinkUp functions as a Data Processor: "We act as a Data Processor under GDPR and are prepared to execute DPAs that align with GDPR Article 28 requirements." **DPA Availability** "Our DPA template is available upon request a Agent context: Linkup (EU-based) is the strongest candidate so far. Let me verify its claims directly from its security documentation, and check one more option (Exa) plus confirm Tavily's residency posture.

Exa search API GDPR EU data residency data retention SOC 2 compliance

Query: Exa search API GDPR EU data residency data retention SOC 2 compliance 10 search result links captured Tool result summary: Based on the search results, here's what I found regarding Exa's compliance posture: ## Exa Search API Compliance **SOC 2 Certification:** Exa is SOC 2 Type II certified, demonstrating commitment to maintaining rigorous information security practices and controls. **General Security and Privacy:** Exa takes data security and privacy seriously. ## Key Context on GDPR, Data Residency, and SOC 2 The search results provi Agent context: Linkup (EU-based) is the strongest candidate so far. Let me verify its claims directly from its security documentation, and check one more option (Exa) plus confirm Tavily's residency posture.

agent_action

## Recommendation: Linkup For this app — a LangGraph ReAct agent (`app/agent.py`) w...

## Recommendation: Linkup For this app — a LangGraph ReAct agent (`app/agent.py`) whose tools live in `app/tools.py:get_tools()`, deployed for EU users on regulated financial data — **Linkup** is the best fit. It's the only managed web-search API I found that meets all four hard requirements at once. **Why Linkup wins:** - **EU residency (the deciding factor):** "All data processing occurs exclusively within the EU." Infra runs on Azure EU regions. No cross-border transfer mechanism needed. - **GDPR:** Acts as a Data Processor with an Article 28-aligned DPA available on request. - **Retention:** Configurable **Zero Data Retention** (no queries/results stored); otherwise purged within 30 days (90 from backups) on termination. - **Auditability/security:** SOC 2 Type II, annual pen-tests, quarterly vuln scans, TLS 1.2+/AES-256. It's a purpose-built web-search API for AI agents, so it drops cleanly into your `StructuredTool` list. **Alternatives considered (and why not):** - **Tavily** — strongest default for agents (SOC 2 Type II, ZDR), but **US-based**, relies on SCCs for EU transfers (data leaves the EU), and by default uses query data to improve its platform under "legitimate inter

result

Selected unknown

Commands

find /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0 -type f -name "*.py" -o -name "*.txt" -o -name "*.md" -o -name "*.json" -o -name "*.yaml" -o -name "*.yml" | head -50

exit code not materialized

ls -la /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/

exit code not materialized

find /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0 -name "*.py" | grep -v __pycache__

exit code not materialized

git -C /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0 log --oneline -15

exit code not materialized

ls -la /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app/

exit code not materialized

ls -la /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/app/pages/

exit code not materialized

find /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0 -type f $ -name "*.md" -o -name "*.txt" -o -name "*.json" $ | head -20

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ls -la /home/user/worktrees/attempt-6acf7a14-2f4f-4b4d-8ee2-b260b2965144-cap-0/notebooks/ 2>/dev/null || echo "No notebooks dir"

exit code not materialized

URLs Fetched

https://docs.linkup.so/pages/security-and-privacy/faq

status not materialized

https://linkupapi.com/

status not materialized

https://aiagentslist.com/agents/linkup

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https://www.eurouter.ai/providers

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https://openai.com/index/introducing-data-residency-in-europe/

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https://www.linkup.so/

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https://secureprivacy.ai/blog/data-residency-requirements-eu-vs-us-explained

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https://www.linkup.so/privacy-policy

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https://parallel.ai/articles/tavily-vs-parallel-search

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https://docs.tavily.com/faq/faq

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https://aws.amazon.com/marketplace/pp/prodview-myijjwd7qoky4

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https://trust.tavily.com/

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https://www.tavily.com/privacy

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https://cloud.ibm.com/catalog/services/tavily-research-agent

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https://medium.com/@unicodeveloper/tavily-alternatives-in-2026-after-the-nebius-acquisition-9de526780686

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https://www.tavily.com/terms

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https://aws.amazon.com/blogs/machine-learning/build-dynamic-web-research-agents-with-the-strands-agents-sdk-and-tavily/

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https://medium.com/@vikram40441/automating-legal-compliance-the-power-of-tavily-and-ai-agents-integration-2c11727273a3

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https://brave.com/blog/search-api-zero-data-retention/

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https://api-dashboard.search.brave.com/privacy-policy

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https://brave.com/search/api/

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https://www.startuphub.ai/ai-news/general/2026/braves-zero-data-retention-api-challenges-big-tech

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https://api-dashboard.search.brave.com/documentation/resources/privacy-notice

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https://cdn.search.brave.com/search-api/web/v1/client/_app/immutable/assets/brave-search-api-dpa-2025-07-30.PXV8d_5c.pdf

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https://cdn.search.brave.com/search-api/web/v1/client/_app/immutable/assets/brave-search-api-dpa-2025-09-09.DRXCoye6.pdf

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https://www.ainvest.com/news/brave-data-retention-api-future-privacy-compliant-ai-infrastructure-2601/

status not materialized

https://app.daily.dev/posts/PPz2uGeNF

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https://trust.brave.app/

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https://sprinto.com/blog/soc-2-vs-gdpr/

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https://elevenlabs.io/docs/overview/administration/data-residency

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https://medium.com/@aleyacyrus/from-gdpr-to-soc-2-a-practical-guide-to-building-compliance-into-your-software-7416422ba374

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https://truto.one/blog/how-to-handle-eu-data-residency-and-gdpr-compliance-for-mcp-servers/

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https://openai.com/index/expanding-data-residency-access-to-business-customers-worldwide/

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https://exa.ai/docs/reference/security

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https://www.teradata.com/insights/data-security/what-is-data-residency

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https://telnyx.com/resources/soc-2-voice-ai-agents

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Changed Files

Artifact only

Raw trace artifacts exist, but normalized telemetry is not materialized yet.

Runs