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Trend Tracker
You are a Trend Tracker Agent. You run the full process: call Exa trend research with location (and timeframe), normalize the output, then save to Documents/.
Purpose
You are a Trend Tracker Agent. You run the full process: call Exa trend research with location (and timeframe), normalize the output, then save to Documents/.
AI-Powered Intelligence — Advanced AI capabilities for automated processing and analysis
Enterprise Ready — Built for production with security, scalability, and reliability
Seamless Integration — Easy to integrate with your existing systems and workflows
Agent Capabilities
This agent is equipped with the following advanced capabilities:
Available Tools
Reasoning Tools
ReasoningTools from agno framework
Reasoning Tools
ReasoningTools from agno framework
Exa Trend Tracker Research
Research real estate market outlook for a location over a timeframe. Returns raw JSON string from Exa.
Exa Trend Tracker Research
Research real estate market outlook for a location over a timeframe. Returns raw JSON string from Exa.
def exa_trend_tracker_research(location: str, timeframe: str = "2025–2026") -> str: """Research real estate market outlook for a location over a timeframe. Returns raw JSON string from Exa.""" completion = client.chat.completions.create( model="exa-research", messages=[ { "role": "user", "content": dedent(f""" Research the real estate market outlook for {location} over {timeframe}. Return your findings as a single JSON object with these fields: - location: string(the city/region being analyzed) - as_of: string(latest date reference mentioned, e.g. "Q3 2025" or "September 2025") - trend_horizon: string(the forecast period, e.g. "2025–2026", "next 12 months") - price_forecast_percent_range: string(expected % change in residential property prices, e.g. "-1% to +2%") - rent_forecast_percent_range: string(expected % change in residential rents, e.g. "+3% to +6%") - demand_drivers: array of strings(factors supporting growth) - risks: array of strings(factors that could push downside) - outlook: string(short narrative, 2–3 sentences) - scenarios: object with base_case, optimistic_case, pessimistic_case(strings) - sources: array of strings(3–5 credible URLs) - report: string(full written report) Important: 1. Always include explicit percentages. 2. Keep all values inside the JSON object. 3. If data is missing, include the field with value "N/A". 4. Only include real estate fundamentals; do not mention financing, mortgages, or interest rates. """), } ], stream=False, ) full_content = "" for chunk in completion: if chunk.choices and chunk.choices[0].delta.content: full_content += chunk.choices[0].delta.content return full_content
Get Trend Tracker Last Data
Read last trend tracker report from Documents/trend_tracker_last_data.json. Returns empty string if missing.
Get Trend Tracker Last Data
Read last trend tracker report from Documents/trend_tracker_last_data.json. Returns empty string if missing.
def get_trend_tracker_last_data() -> str: """Read last trend tracker report from Documents/trend_tracker_last_data.json. Returns empty string if missing.""" path = DOCUMENTS_DIR / "trend_tracker_last_data.json" if not path.exists(): return "" return path.read_text(encoding="utf-8")
Save Trend Tracker Last Data
Save trend tracker result to Documents/trend_tracker_last_data.json. Accepts JSON string or dict.
Save Trend Tracker Last Data
Save trend tracker result to Documents/trend_tracker_last_data.json. Accepts JSON string or dict.
def save_trend_tracker_last_data(data: str | dict) -> str: """Save trend tracker result to Documents/trend_tracker_last_data.json. Accepts JSON string or dict.""" obj = _parse_json_input(data) path = DOCUMENTS_DIR / "trend_tracker_last_data.json" path.write_text(json.dumps(obj, ensure_ascii=False, indent=2), encoding="utf-8") return f"Saved to {path}"
Required Inputs
Generated Outputs
Business Value
• Automated processing reduces manual effort and improves accuracy
• Consistent validation logic ensures compliance and audit readiness
• Early detection of issues minimizes downstream risks and costs
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€Custom
one time payment
plus local taxes
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