Agents
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End-to-end CRM extraction, scoring, ranking, and AI insight
Use your CRM session token or cookie, then run full agent evaluation for all organizations.
These defaults are identical to the Python evaluation model and can be changed before each run.
Fallback mode: upload an evaluation workbook (example: agent_evaluation_last3m_weighted_clean_v2.xlsx)
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Score is cumulative (raw). Compare agents fairly using Score/Lead column in sheets below.
| Rank | Agent | Score | Score/Lead | Leads | Positive | Negative |
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