Sales Enablement · head to head
Attention vs Endgame
Attention
Sales Enablement
Call recording that writes back to the CRM and scores reps against your own qualification framework
- From
- On request
- Rated
- -
Endgame
Sales Enablement
A context graph over CRM, calls and documents that answers account questions with citations
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Attention there is no published pricing and no self-serve tier, so even a small team must go through a sales cycle to get a number, which is a real disadvantage against Avoma and Fireflies where you can start on a card the same afternoon.; Endgame there is no pricing page at all; the URL returns a 404, so every engagement is a sales-led negotiation with no public benchmark and no way to scope budget before committing time.
- They diverge on capability: Attention covers Call recording and transcription, Endgame covers Context graph.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Attention and Endgame actually diverge.
Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Sales Enablement).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Attention
- Call recording and transcription
- CRM auto-update
- AI coaching scorecards
- Follow-up automation
- Ask Attention Anything
- Super Agent
- Deal and pipeline reporting
- Shareable clips
Only in Endgame
- Context graph
- Cited answers
- Account research briefs
- Meeting and call prep
- Deal inspection
- Stakeholder mapping
- Executive and QBR briefings
- MCP server
What people use each for
The jobs each tool is most often brought in to do.
Attention
- A sales organisation whose forecast is unreliable because representatives do not update MEDDIC fields after calls, and which wants those fields written automaticallynot Endgame
- A sales manager who needs every call scored against the same qualification rubric rather than spot-checking a handful per rep per monthnot Endgame
- A revenue operations lead consolidating call recording, coaching and CRM hygiene into one contract instead of three toolsnot Endgame
- A team that wants call intelligence exposed to internal AI agents through MCP rather than trapped inside a vendor dashboardnot Endgame
Endgame
- An enterprise sales team on Salesforce and Gong whose account research is done manually before every meeting and takes an hour a rep a day.not Attention
- A revenue organisation that has standardised on Claude or ChatGPT internally and wants those assistants grounded in real CRM and call data instead of hallucinating account history.not Attention
- A sales leadership team preparing quarterly business reviews from data spread across Salesforce, Snowflake, Gong and Notion.not Attention
- A new account executive inheriting a territory who needs the history of thirty accounts, including who was involved and what was promised, without reading two years of call recordings.not Attention
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Attention
- There is no published pricing and no self-serve tier, so even a small team must go through a sales cycle to get a number, which is a real disadvantage against Avoma and Fireflies where you can start on a card the same afternoon.
- Automatic CRM writeback is only as good as your field hygiene: if picklists, stage definitions and custom fields are inconsistent, the tool will confidently populate them wrongly and the errors are harder to spot than blank fields were.
- The company was founded in 2021 and remains small against Gong and Chorus, so the library of benchmark data, published methodology and partner ecosystem that enterprises often buy alongside conversation intelligence is not comparable.
- There is no standalone public documentation or help portal, which slows self-service troubleshooting and makes it harder for a technical evaluator to assess API depth before committing.
- No native mobile application or browser extension has been confirmed, so field representatives who work primarily from a phone between meetings have a weaker experience than the desktop-first design assumes.
Endgame
- There is no pricing page at all; the URL returns a 404, so every engagement is a sales-led negotiation with no public benchmark and no way to scope budget before committing time.
- The product has pivoted twice, from product-led sales signals to account intelligence to a GTM context graph, on a Series B raised in February 2022 with no publicly reported round since, which is real roadmap and data model risk on a multi-year contract.
- Value depends heavily on Salesforce and Gong depth, so organisations on HubSpot or a different call recorder get a substantially thinner graph and a weaker product for the same negotiation.
- Positioning as a context layer under other AI tools makes return on investment hard to attribute, because no user logs in and no workflow visibly belongs to it, which makes renewal conversations difficult to defend internally.
- Vendor-published performance claims around accuracy, speed and cost reduction have no third-party benchmark behind them, and the independent review profile has been effectively inactive for over a year, so there is no current corpus to validate against.
- As a layer rather than an application it is structurally exposed to Salesforce or Gong shipping equivalent native context, which would remove the reason to keep paying for it without any action on the vendor’s part.
Pricing, plan by plan
Attention
On request- Attention$undefined/year
- Call recording and transcription in 100+ languages
- CRM auto-update for Salesforce and HubSpot
- AI coaching scorecards
Endgame
On request- Endgame$undefined/year
- Context graph across CRM, calls, documents and email
- Slack, Teams, web and CLI access
- MCP server for external assistants
Which should you pick?
Choose Attention if
- You need call recording and transcription.
- You work on Web, API.
- You also want crm auto-update.
Questions people ask
- Is Attention or Endgame better?
- Neither clearly leads. Attention starts at On request and Endgame at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Attention or Endgame?
- Attention starts at On request and Endgame at On request.
- Does Attention or Endgame run on more platforms?
- Attention runs on Web, API. Endgame runs on Web.
- What is Attention best used for?
- Attention is most often used for a sales organisation whose forecast is unreliable because representatives do not update meddic fields after calls, and which wants those fields written automatically, a sales manager who needs every call scored against the same qualification rubric rather than spot-checking a handful per rep per month, a revenue operations lead consolidating call recording, coaching and crm hygiene into one contract instead of three tools, a team that wants call intelligence exposed to internal ai agents through mcp rather than trapped inside a vendor dashboard. Of those, a sales organisation whose forecast is unreliable because representatives do not update meddic fields after calls, and which wants those fields written automatically and a sales manager who needs every call scored against the same qualification rubric rather than spot-checking a handful per rep per month are not what Endgame is typically brought in for.
- What can Attention do that Endgame cannot?
- Attention covers Call recording and transcription, CRM auto-update, AI coaching scorecards, Follow-up automation. Endgame covers Context graph, Cited answers, Account research briefs, Meeting and call prep.
Answered from the vendors’ own pages
Attention: What does Attention actually automate that Gong does not?
Its headline capability is writing back to CRM fields from call content, including custom qualification fields, rather than primarily surfacing calls for later review.
Endgame: Is this the Endgame that Elastic acquired?
No. That was an endpoint security company. This is Endgame, Inc. at endgame.io, an account intelligence and context platform for revenue teams.
Attention: Is pricing published?
No. It is sales-quoted on annual contracts, with no self-serve tier, unlike Avoma or Fireflies.
Endgame: Is it still the product-led sales signals tool?
No. It pivoted twice. If your shortlist came from 2021 to 2023 coverage of PQL scoring, the product you would buy today is different.
Attention: Is the company financially stable?
It raised a 30 million USD Series B in mid-2026 led by RTP Global, and reports four times year-on-year revenue growth, which is usually sufficient for enterprise vendor review.
Endgame: What does it cost?
Unpublished. There is no pricing page. Expect an enterprise annual contract negotiated per deal.
Attention: Which CRMs does it write to?
Salesforce and HubSpot are the primary supported systems, with other CRMs addressed through its open API.
Endgame: Do I need Salesforce and Gong?
Not strictly, but the graph is built around them. On HubSpot or with another call recorder you get materially less value for the same price.
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