How can I efficiently cross-reference local MLS historical data to verify the self-reported sales volume claims of agents applying to join my team?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I efficiently cross-reference local MLS historical data to verify the self-reported sales volume claims of agents applying to join my team?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
MLS historical transaction data agent production verification RESO data dictionary MLS rules agent attribution closed sales Google ↗
South Carolina MLS data access rules historical sold listings agent production verification Google ↗
- View an agent's sales production · matrix.smartmls.com
- How to Look Up an Agent's Historical Sales in Matrix · support.mlsnow.com
- Verify Your 2018 Sales Data · chicagorealtor.com
- Production and Inventory Reports · support.cvrmls.com
- Sales Awards Recognition · chicagorealtor.com
- Data Dictionary · reso.org
- RESO Web API · reso.org
- BrokersRecruiter API Documentation · api.restats.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
MLS historical transaction data agent production verification RESO data dictionary MLS rules agent attribution closed sales OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
South Carolina MLS data access rules historical sold listings agent production verification OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |