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The data layer

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.

Deals
🗂️All deals🎯Open🏆Won❌Lost📊MEDDPICC⚖️Win-Loss Deals💰High value deals+
Deal
Deal owner
Stage
Amount
Next stepAI
ObjectionsAI
Decision dateAI
BBrackman & VossBrackman
Negotiation
€150,000
Second demo for the CFO
Rollout
29 Sep
KKessler RetailKessler
Closed Won
€125,000
Kick-off with the enablement lead
Pricing
14 Aug
NNorthwind LogisticsNorthwind
Proposal
€120,000
Send the DPA to legal
SecurityDPA
12 Sep
MMeridian CareMeridian
Negotiation
€110,000
Map the current tooling
Timing
4 Oct
OOtava SystemsOtava
Negotiation
€98,000
Agree the pilot scope
Pricing
30 Sep
AAurelia PharmaAurelia
Qualification
€95,000
Loop in the RevOps lead
ProcurementTiming
1 Nov
VVisser & CoVisser
Proposal
€88,400
Security review, then pricing
PricingSeat count
24 Sep
HHalden GroupHalden
Discovery
€74,200
Confirm the renewal owner
Budget
Not set
LLindqvist MediaLindqvist
Discovery
€66,400
Share the security pack
Security
14 Oct

One field, four readers

objectionAI

Seat count · paying for licences nobody uses

Written once, from the call. Never re-derived.

Read by

The Deals boardfilterYour CRMpropertyReportscountClaude, over MCPquery
RevolutInfopro DigitalSkelloQontoDash0TransferRoom
  • EU hosting
  • GDPR
  • SOC 2 Type II
  • No training on your data
Champs IA

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.
Settings
🧩AI fields🔗CRM mapping⚙️Rules+
Field
Type
Prompt
Object
Auto-fill
next_step
text
What did both sides agree happens next, and by when?
Deal
objection
multi-select
Which concerns did the buyer raise that were not resolved on the call?
Deal
economic_buyer
contact
Who signs? Name them only if they were named on a call.
Deal
decision_date
date
When does the buyer say they will decide?
Deal
meddpicc_pain
score
Score 0–5: was a cost, volume or deadline actually quantified?
Deal
competitor
multi-select
Which alternatives were named, including doing nothing?
Deal
renewal_signal
select
On a check-in call, what points to renewal or to churn?
Company
handover_brief
long text
What must CS know that is not already in the CRM?
Company

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

One row per deal

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.
Deals
🗂️All deals🎯Open🏆Won❌Lost📊MEDDPICC⚖️Win-Loss Deals💰High value deals+
Deal
Deal owner
Stage
Amount
Next stepAI
ObjectionsAI
Decision dateAI
BBrackman & VossBrackman
Negotiation
€150,000
Second demo for the CFO
Rollout
29 Sep
KKessler RetailKessler
Closed Won
€125,000
Kick-off with the enablement lead
Pricing
14 Aug
NNorthwind LogisticsNorthwind
Proposal
€120,000
Send the DPA to legal
SecurityDPA
12 Sep
MMeridian CareMeridian
Negotiation
€110,000
Map the current tooling
Timing
4 Oct
OOtava SystemsOtava
Negotiation
€98,000
Agree the pilot scope
Pricing
30 Sep
AAurelia PharmaAurelia
Qualification
€95,000
Loop in the RevOps lead
ProcurementTiming
1 Nov
VVisser & CoVisser
Proposal
€88,400
Security review, then pricing
PricingSeat count
24 Sep
HHalden GroupHalden
Discovery
€74,200
Confirm the renewal owner
Budget
Not set
LLindqvist MediaLindqvist
Discovery
€66,400
Share the security pack
Security
14 Oct

Otava Systems · Next step

Agree the pilot scope

written from 4 callsupdated 2h ago
ClaapAgent

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.
Meetings
🎬All meetings👤My meetings✂️My video clips🌶️SPICED Scoring📞Cold Call Scoring💡Product Feedback+
Title
Owner
Source
Date
Channel
Labels
Type
Visser & Co · Discovery
Sam M.
Online
Today
Sales meetings
Discovery
meeting
Northwind · Security review
Léa P.
Online
Today
Sales meetings
Negotiation
meeting
Aurelia Pharma · On-site visit
Sam M.
In person
Yesterday
Field sales
Demo
meeting
Halden Group · Renewal call
Jonas D.
Phone
Yesterday
Customer Success
Check-in
meeting
Brackman & Voss · CFO demo
Léa P.
Online
Yesterday
Sales meetings
Demo
clip
Meridian Care · Discovery
Mara K.
Online
2 days ago
Sales meetings
Discovery
meeting
Kessler Retail · Pricing call
Sam M.
Online
2 days ago
Sales meetings
Negotiation
meeting
Otava Systems · Intro call
Jonas D.
Phone
3 days ago
Sales meetings
Qualification
meeting
Lindqvist Media · Follow-up
Mara K.
Email
3 days ago
Sales meetings
Discovery
meeting
Aurelia Pharma · Legal review
Sam M.
Online
4 days ago
Sales meetings
Negotiation
meeting

Ask it like this

Why did we lose Lindqvist Media?

From 4 meetingssources attached

MCP & API

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.
Search
💬ClaapAgent🔎Transcripts🔌API & MCP+
MCPclaap · 6 tool calls · 41 recordings read200 OK · 1.4s
  • →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.

See it on your own pipeline.

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