Fathom
Turn the interview you just ran into notes on the record.
Fathom is a call and meeting tool, and one of the 53 tools hyreflow connects to Claude, ChatGPT and other AI assistants. Through hyreflow, an AI agent can run 2 actions, all of which look something up. Fathom runs on your own Fathom account: hyreflow charges no credits for it, and Fathom bills you as before.
Your agent reads Fathom call transcripts, summaries and action items, and writes them onto the candidate in your CRM. The debrief you were going to type up is already written.
Fathom is a read source. The transcript comes in; structured notes go out to the CRM.
What can you ask Claude or ChatGPT to do with Fathom?
With hyreflow connected, you ask for the outcome in plain language and the assistant runs Fathom for you. For example:
- “Write up this morning's interviews into Recruit CRM”
- “What did the client say they actually wanted? Turn it into a brief”
- “Take the brief from this call and source against it with Apollo”
- “Pull the action items from that call”
Which tools work well with Fathom?
In a hyreflow run, Fathom is most often paired with Recruit CRM, Apollo, Vincere and Granola.
- Recruit CRM
the debrief written onto the candidate
- Apollo
source directly from what the client said on the call
- Vincere
interview notes onto the record
- Granola
the other notetaker, if your team runs both
Which Fathom actions can an AI agent run through hyreflow?
Through hyreflow, an AI agent can run 2 Fathom actions, all of which look something up. Fathom runs on your own Fathom account: hyreflow charges no credits for it, and Fathom bills you as before.
| Fathom action | What it does | Cost through hyreflow |
|---|---|---|
| List meetings | Looks something up | no hyreflow credits |
| Get transcript | Looks something up | no hyreflow credits |
One credit is priced on the pricing page. The full price list for every tool is in the pricing tables.
Which hyreflow skills use Fathom?
3 hyreflow skills call Fathom as part of the run. A skill is a whole pipeline your agent already knows, end to end.
Turn a recorded briefing call into a search brief and its open questions
use whenyou have just taken a brief on a recorded call and want it written up properly before the search starts
Turn a recorded candidate interview into notes on the candidate's record
use whenyou have just interviewed a candidate on a recorded call and the notes need to be on their record before the next call pushes them out of your head
Write the candidate submission that goes to the client with the CV
use whenyou have interviewed a candidate you rate and the client is waiting for the CV and your reasons
How does an AI agent know how to use Fathom?
hyreflow ships a written playbook for Fathom, and the agent loads it before the first call. Auth, rate limits, what each call costs, which actions need your approval, and the mistakes worth avoiding. It is the difference between an agent that knows the tool and one that guesses at it.
Read the Fathom docs →Show the raw playbookwritten for the agent
HOW in lib/fathom.py. Docs: developers.fathom.ai/quickstart.
Auth & config
- Base URL:
https://api.fathom.ai/external/v1· Auth: headerX-Api-Key(envFATHOM_API_KEY; never hardcode). - User-scoped: a key only sees meetings recorded by / shared with that user.
- Pagination: cursor-based —
next_cursorin the response → pass back ascursor.iter_meetings()auto-walks it.
Operations (read-only API)
list_meetings (filters: created_after/created_before ISO 8601, recorded_by emails, include_transcript), iter_meetings (auto-paginate), get_transcript(recording_id). Meeting objects carry title, URL, timestamps, summary, action items, CRM matches.
Handoff
Read source: post-interview transcript/summary → parse → write notes into the ATS (Recruit CRM / Bullhorn / Loxo …) as a candidate activity. Pairs with [[granola]] (also a notetaker) — both are API-accessible; Granola needs a Business plan.
Callable surface — lib/fathom.py
Import: from lib.fathom import Fathom → instantiate Fathom() (reads key from env). Base: https://api.fathom.ai/external/v1. Generic passthrough: request(method, path, *, params, json).
get_transcript(recording_id: str) -> Any— GET /recordings/{recording_id}/transcript — fetch a transcript separately.iter_meetings(**params) -> Iterator[dict]— Auto-paginate meetings via next_cursor.list_meetings(*, include_transcript: bool | None = None, recorded_by: list[str] | None = None, created_after: str | None = None, created_before: str | None = None, cursor: str | None = None, **params) -> Any— GET /meetings — filter by date (ISO 8601) / recorder email; optionally inline transcripts.
Questions about Fathom and hyreflow
Can I use Fathom inside Claude or ChatGPT?
Yes. hyreflow is a connector for Claude, ChatGPT and other AI assistants. Once hyreflow is connected, you ask for the outcome in plain language and the assistant calls Fathom for you. hyreflow exposes 2 Fathom actions this way.
Do I need my own Fathom account to use it with hyreflow?
Yes. Fathom runs on your own Fathom account. You connect it to hyreflow once, hyreflow charges no credits for the calls, and Fathom bills you as before.
What does Fathom cost through hyreflow?
Fathom runs on your own Fathom account: hyreflow charges no credits for it, and Fathom bills you as before.
How do I connect Fathom to an AI agent over MCP?
Add the hyreflow MCP server to your assistant and sign in. hyreflow calls the Fathom API directly and exposes its actions as tools the assistant can run, so there is no separate Fathom server to install.
Put Fathom to work from one prompt
Connect hyreflow to Claude or ChatGPT and ask for the outcome. It reads the playbook above before it makes a single call.