Question 1

What Fireflies data can Polytomic sync?

Accepted Answer

Transcripts, users, and weekly analytics. There is no separate meetings object because meetings are transcripts in Fireflies' model, and that record carries the meeting metadata, attendees and attendance, speakers, participant emails, media URLs, and analytics alongside the content. Soundbites are not exposed, even though they exist in the Fireflies API, so highlight clips are not syncable today.

Question 2

Do I get sentence level transcript data?

Accepted Answer

Yes, which is the main reason to run ETL on Fireflies rather than reading it in the app. Each transcript carries a sentences array with the text and raw text, speaker name and ID, an index, start and end times, and AI filter markers. That is granular enough to compute talk ratio, find where in a call a topic came up, or search for specific phrasing across every conversation. It is nested under the transcript rather than being an independent object, so you unnest it in your data warehouse to query line by line.

Question 3

Are the AI summaries included?

Accepted Answer

Yes, in full. The summary comes through nested on the transcript and includes the overview and gist, action items, keywords, discussed topics, chapters, notes, and extended sections. Having those alongside the raw sentences is useful because you can use the structured summary for reporting and fall back to the transcript when you need to see exactly what was said. Like sentences, summaries are nested rather than a standalone object.

Question 4

How do incremental reads work?

Accepted Answer

By date window rather than a change cursor, because Fireflies filters transcripts on meeting date. Polytomic checkpoints at the sync start and then overlaps the previous day on each run, which exists specifically because a transcript often finishes processing well after the meeting ended. The initial read covers roughly the last two years. Worth knowing that a transcript arriving unusually late, beyond that rolling overlap, may not be picked up until a catch up or full resync.

Question 5

Why move Fireflies data into a data warehouse?

Accepted Answer

Because searching one call at a time does not surface patterns. Which objections precede stalled deals, whether accounts with more meetings expand, and how often a competitor is mentioned across a quarter all require transcripts joined to CRM and product data and queried in aggregate. Fireflies sees the conversation but not the outcome. Running ETL into your data warehouse makes those joins possible, and reverse ETL on the same platform can write a derived signal back onto the CRM record your team works in.

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