The sales context your AI runs on.
Claude, ChatGPT and the agents your team already builds read your conversations as views whose columns are AI fields, not as transcripts to parse.
One field, four readers
objectionAI
Seat count · paying for licences nobody uses
Written once, from the call. Never re-derived.
Read by
- EU hosting
- GDPR
- SOC 2 Type II
- No training on your data
Every field names the CRM property it writes to.
- Each field writes to the HubSpot property you pick, so call insights land on the deal without retyping.
- Start from one of 17 templates or write your own prompt, and ask exactly the question your team needs.
- Pick from ten output types. Ratings, selects and numbers turn into charts you can compare across deals.
New AI field
objectionmulti-select
What to look for
Which concerns did the buyer raise that were not resolved on the call?
Writes todeal.objections_c
Runs on every new callAuto-fill on
The same question, answered on every deal.
- Pain and objections are captured the same way on every deal, so you compare deals side by side.
- Filter and sort on any field like a CRM property, to find every deal that raised the same objection.
- Your agents read these exact columns over MCP, so they work from the same answers your team sees.
Otava Systems · Next step
Agree the pilot scope
Answers with the calls attached.
- Ask Claap AI about one meeting and get an answer built from what was actually said.
- Ask across meetings, deals, companies and people at once, and see which calls each answer comes from.
- Each question uses one credit, drawn from a pool the whole workspace shares.
Ask it like this
Why did we lose Lindqvist Media?
From 4 meetingssources attached
Plug Claap into the agents you already run.
- Connect Claude or ChatGPT through the native MCP connector, and they query your calls without anyone opening Claap.
- Call the Claap API from your own services to pull conversation data into the tools you built.
- Trigger automations through Zapier, Make, n8n or webhooks, so call insights flow into the rest of your stack.
- →claap.search_recordings{ query: "pricing objection", since: "2026-07-01" }41 recordings
- ←result41 items · 6 fields each2.1 kB
- →claap.get_deal_fields{ deal_ids: [...41], fields: ["objection","meddpicc_pain"] }41 records
- ←resultobjection: 17 pricing, 11 security, 8 no-champion0.9 kB
- →claap.get_transcript{ recording_id: "rec_8f21", from: "14:00", to: "15:00" }1 excerpt
- ←result“It's fine for now, we just wish it were quicker.”0.2 kB
Tool call 3 of 6
claap.get_deal_fields
{ deal_ids: [...41], fields: ["objection", "meddpicc_pain"] }
Returned
41 records 0.9 kB
Typed values no parsing
Your agent samples your calls instead of reading them
Point an agent at raw transcripts and it samples. Point it at a view of AI fields and it reads all 263 rows.
The homegrown connector that eats two days a week
One endpoint at api.claap.io/mcp, an OAuth sign-in, 58 tools. Your agent reads a view as the app renders it, and writes back.
Nobody builds an agent from a blank page
Ten agents ship in the Agent Gallery. Or ask the question across your calls and turn the one you keep asking into a field.
10,000+
sales reps run their deals on Claap
50%
higher win rates, typically within the first quarter
2x
faster onboarding for new reps
Frequently asked questions
Do I need a paid add-on for the MCP connector?
No. The MCP connector for Claude and ChatGPT is included on every plan, from the free Basic plan. Claap's AI agents and automations through Zapier, Make and n8n are included on Business and Enterprise; the Claap API is Enterprise only. Ask sales to unlock a trial of a paid plan if you want to test it on your own calls first.
What happens to a field when a deal has ten calls on it?
You choose, per field. Digest re-analyses every activity and rewrites the field, so a deal-level field stays one current answer. Append adds a new entry for each activity, so the field keeps the sequence. Either way the field can run automatically on new deals and activities, or only when you ask it to.
What can my agent actually read?
Your conversation layer: the transcripts of what was actually said, and the deal signals Claap derives from them. Transcription covers 99+ languages from Pro, and transcripts and call summaries come with the recording without using AI credits.
How is this different from Claap's Revenue Agents?
Revenue Agents are Claap's own agents for CRM auto-complete, coaching and scoring, and deal forecasting. This is the layer underneath them: the same conversation data, exposed so you can query it yourself, pipe it into Claude, or build an agent on top.
Does running an agent use AI credits?
Only the AI actions draw on credits. Transcripts and call summaries come with the recording and use none. Pro includes 500 credits per licence per month and Business 1,000, pooled across the workspace; Enterprise credits are custom.
Also in Claap
The same captured conversations feed every one of these.
ClaapAgent
Ask ClaapAgent what was said on your calls.
OpenMCP & API
Your agents read views, not transcripts.
OpenBuild your own agent
An agent for every job your team still does by hand.
OpenAI Recording
The AI meeting recorder for 100% of your sales conversations.
OpenRevenue Agents
After every call, your agents do the work.
Open

See it on your own pipeline.
A 30-minute demo on your real deals. Replacing Gong or Modjo? Ask how we migrate your history.

