ds_f369b6b9). I will now fetch the exact field details (Description, Founders, LinkedIn, Interview Notes) for this record and continue searching for the remaining five companies using more targeted name-based filters to ensure I have the complete set.[{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"rec4wyvlPZKcoAAZU\",\n \"fields\": {\n \"Name\": \"Diaflow\",\n \"Founder Email\": \"viet@diaflow.io\",\n \"Country\": \"Singapore\",\n \"Website\": \"https://diaflow.io/\",\n \"Company Description\": \"Diaflow allows companies to automate their business like a GOD. We make business automation as simple and natural as having a conversation.\",\n \"Need\": \"Existing workflow automat...[{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"recRqV6bxzlJhke3X\",\n \"fields\": {\n \"Name\": \"CodeGraph\",\n \"Founder Email\": \"hello@vivekkalyan.com\",\n \"Country\": \"Singapore\",\n \"Website\": \"None\",\n \"Company Description\": \"Building products that help developers understand software codebases.\",\n \"Need\": \"Reading and understanding code is very difficult, even for proficient software engineers. Software is ...Unknown memory tool: recall
[{"type":"text","text":"**error:**\nNameError: name 'ds_f369b6b9' is not defined\n---------------------------------------------------------------------------NameError Traceback (most recent call last)Cell In[1], line 29\n 26 import pandas as pd\n 28 # List of datasets from previous steps that contain the company records\n---> 29 datasets = [ds_75eb2e14, ds_f369b6b9, ds_e1d1cf6d, ds_d5261e6c, ds_10bd8742, ds_d71791ca]\n 31 records = []\n 32 for ds i...ds_f369b6b9) wasn't correctly registered in the sandbox environment. I am now re-running the data extraction to compile the descriptions, founder names, LinkedIn profiles, and interview notes for each company.[{"type":"text","text":"**error:**\nImportError: Missing optional dependency 'tabulate'. Use pip or conda to install tabulate.\n---------------------------------------------------------------------------ModuleNotFoundError Traceback (most recent call last)File /usr/local/lib/python3.13/site-packages/pandas/compat/_optional.py:135, in import_optional_dependency(name, extra, errors, min_version)\n 134 try:\n--> 135 module = importlib.import_module(name)\n 136 excep...[{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"rec4wyvlPZKcoAAZU\",\n \"fields\": {\n \"Name\": \"Diaflow\",\n \"Founder Email\": \"viet@diaflow.io\",\n \"Country\": \"Singapore\",\n \"Website\": \"https://diaflow.io/\",\n \"Company Description\": \"Diaflow allows companies to automate their business like a GOD. We make business automation as simple and natural as having a conversation.\",\n \"Need\": \"Existing workflow automat...[{"type":"text","text":"{\n \"id\": \"reclOARF5YhQrmyLB\",\n \"fields\": {\n \"id\": 1406,\n \"Partner\": [\n \"recMSh4X7IkT1uIcM\"\n ],\n \"Founder: Customer Insight\": \"3 – Average\",\n \"Founder: Structured Thinking\": \"3 – Average\",\n \"Founder: Execution\": \"4 – Top 20%\",\n \"Founder: Fundraising\": \"3 – Average\",\n \"Market: Problem Magnitude\": \"4 – Painful\",\n \"Market: Problem Distribution\": \"4 – Widespread\",\n \"Market: Competition\": \"...Applications table using their names to ensure I capture the correct records.Founders and Feedback). [{"type":"text","text":"**error:**\nKeyError: 'fields'\n---------------------------------------------------------------------------KeyError Traceback (most recent call last)Cell In[4], line 30\n 27 if ds:\n 28 all_recs.extend(ds)\n---> 30 df = pd.DataFrame([r['fields'] for r in all_recs])\n 31 # Focus on fields needed for the user request\n 32 requested_info = df[['Name', 'Company Description', 'Founders', 'Feedback', 'Feedback: Final ...[{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"recRqV6bxzlJhke3X\",\n \"fields\": {\n \"Name\": \"CodeGraph\",\n \"Founder Email\": \"hello@vivekkalyan.com\",\n \"Country\": \"Singapore\",\n \"Website\": \"None\",\n \"Company Description\": \"Building products that help developers understand software codebases.\",\n \"Need\": \"Reading and understanding code is very difficult, even for proficient software engineers. Software is ...[{"type":"text","text":"**error:**\nKeyError: 'id'\n---------------------------------------------------------------------------KeyError Traceback (most recent call last)Cell In[14], line 30\n 27 all_records.extend(globals()[ds_name])\n 29 # Deduplicate records by ID\n---> 30 unique_records = {r['id']: r for r in all_records}.values()\n 32 # Extract relevant fields to identify linked records needed\n 33 for rec in unique_records:\nKeyError:...[{"type":"text","text":"**stdout:**\nConsolidated 5 relevant records.\n- Diaflow: Founders count: 42, First Call: 0, Final: 1\n- Fystack: Founders count: 0, First Call: 0, Final: 1\n- SurrealX: Founders count: 0, First Call: 0, Final: 0\n- MyAgent: Founders count: 3, First Call: 0, Final: 0\n- CodeGraph: Founders count: 220, First Call: 0, Final: 0\nDATA_JSON_START\n[{\"airtable_id\": \"rec4wyvlPZKcoAAZU\", \"name\": \"Diaflow\", \"description\": \"Diaflow allows companies to automate their busi...Founders table and the interview rationales/notes from the Feedback tables in the Recruiting base.API error: Not Found
tblUSGKA8vy3z3D7H). Once this is complete, I will proceed to pull the detailed founder names, LinkedIn URLs, and interview notes for all companies.[{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"recmr9NOUq1JLl0GT\",\n \"fields\": {\n \"Name\": \"MyAgent\",\n \"Founder Email\": \"work.johnyoung@gmail.com\",\n \"Country\": \"Philippines\",\n \"Company Description\": \"AI Recruitment Agency for Software Engineers\",\n \"Need\": \"Most recruitment agencies run bloated teams of recruiters, passing high costs and slow hiring onto clients. We deploy AI agents to automate sourcing, screen...[{"type":"text","text":"**stdout:**\nConsolidated records for detailed extraction:\n\n\n**error:**\nKeyError: 'fields'\n---------------------------------------------------------------------------KeyError Traceback (most recent call last)Cell In[17], line 40\n 38 print(\"Consolidated records for detailed extraction:\")\n 39 for r in all_found:\n---> 40 print(f\"- {r['fields'].get('Name') or r['fields'].get('Company Name')}: {r['id']}\")\n 42 # Also...Request timed out. The server took too long to respond.
Request timed out. The server took too long to respond.
[{"type":"text","text":"**error:**\nKeyError: 'id'\n---------------------------------------------------------------------------KeyError Traceback (most recent call last)Cell In[6], line 28\n 25 all_apps = ds_790d63c6 + ds_027aee14 + ds_6341fd3a + ds_8733e9d9 + ds_79336206\n 27 # Deduplicate by record ID\n---> 28 unique_apps = {r['id']: r for r in all_apps}.values()\n 30 app_data = []\n 31 for r in unique_apps:\nKeyError: 'id'\n\n[Execution time: 3...ds_790d63c6, ds_027aee14, etc.). This script will identify any specific Founder or Feedback (Interview Notes) record IDs that need to be fetched individually to complete the profile for each company.API error: Forbidden
API error: Forbidden
Founders record IDs from these applications so I can fetch their official LinkedIn URLs directly from the Founders table.Founders linked record field within the Applications table for Unibrain, Diaflow, Fystack, SurrealX, Codegraph, and MyAgent to get the correct LinkedIn links.Founders record IDs correctly so I can fetch their specific LinkedIn URLs.API error: Forbidden
All Founders field from these application records so I can fetch their specific LinkedIn URLs from the linked Founders table.Founders record IDs.