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Your revenue agents need a data platform.

Connected, governed, and consistent — so agents query the same truth tomorrow that your team trusted today.

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How are our marketing campaigns performing this quarter?

Used Nekt integration, loaded tools›

The trusted.campaign_performance table tracks all campaign metrics by channel. Let me query it.

n.Execute sql

Here’s a breakdown of marketing campaign performance this quarter:

Top channels by conversions:

Monthly conversions by channel

Google Ads

LinkedIn Ads

Email Nurture

RankChannelConversions

1Google Ads1,248

2LinkedIn Ads876

3Email Nurture641

4Organic Search539

5Meta Ads412

Key takeaways:

Google Ads leads with 1,248 conversions — 38% of total pipeline, indicating strong paid search ROI.

LinkedIn is a strong #2 with 876 conversions, making it the top channel for B2B lead quality.

Catalog

Raw76

Pipedrive12

Amplitude6

Hubspot11

Facebook Ads17

Financial7

Intercom3

LinkedIn Ads12

Stripe4

Trusted11

Sales5

Customer Service6

Service12

Trusted by growing companies worldwide

Why Nekt

Make your company queryable.

To take action, agents call tools. To answer questions, they need annotated columns,
queryable history, and one source of truth. The data platform delivers all three.

Answers with tool calls

▸ stripe.list_payment_intents

↳ paginating… 174 customers

▸ stripe.list_payment_intents

… 17 more pages …

▸ hubspot.search_companies

429

⚠ rate limited — retry in 2s…

▸ hubspot.search_deals

↻ disambiguating duplicates · matching by stripe_customer_id

▸ hubspot.search_deals

…

… still fetching at 14m…

234

tool calls

83%

accuracy

15m

latency

234K

tokens

Answers with Nekt

SELECTc.name, c.mrr, h.owner,

DATEDIFF('day',MAX(a.created_at),NOW())ASdays_silent

FROMstripe.customers c

JOINhubspot.contacts hUSING(email)

LEFT JOINhubspot.activities aONh.id = a.contact_id

WHEREc.mrr >200

ORDER BYdays_silentDESCLIMIT10;

Name

Revenue

Stage

Status

Apex Studios

$70,000

> 12 mo

Open

Marlin Labs

$19,977

Deal won

Won

Northwind Inc.

$11,976

> 12 mo

Open

Beacon Group

$11,976

Deal won

Won

sql query

100%

accuracy

19s

latency

18K

tokens

Direct tool calls

With Nekt

▸ stripe.list_payment_intents

↳ paginating… 174 customers

▸ stripe.list_payment_intents

… 17 more pages …

▸ hubspot.search_companies

429

⚠ rate limited — retry in 2s…

▸ hubspot.search_deals

↻ disambiguating duplicates · matching by stripe_customer_id

▸ hubspot.search_deals

…

… still fetching at 14m…

234

tool calls

83%

accuracy

234K

tokens

SELECT name,
       revenue,
       stage,
       status

FROM nekt_trusted.customers

ORDER BY revenue DESC

LIMIT 20;

name

revenue

stage

status

Apex Studios

$70,000

> 12 mo

Open

Marlin Labs

$19,977

Deal won

Won

Northwind Inc.

$11,976

> 12 mo

Open

Beacon Group

$11,976

Deal won

Won

sql query

100%

accuracy

18K

tokens

Agents connected directly to APIs

38%

Agents + Nekt

91%

Connect

Connect every source your business run on.

Works with SaaS apps, databases, webhooks, and flat files (CSV, Excel, Parquet), plus unstructured data like PDFs, images, and video. Ready for every agent, dashboard, and team.

Explore our 200+ connectors

Nekt Storage

One governed source of truth, built by Nekt.

Structure your own data layers. Annotate every column so agents query with context. Hosted on Nekt Cloud, your GCP, or your AWS.

Self-serve access

Any team member can explore data without waiting on engineering.

Always current

Incremental syncs keep every table fresh, no stale dashboards.

Right access, right people

Permissions at the table and layer level keep data safe.

All your data, connected

Orders, customers, and more, linked in one place, not siloed per tool.

Lakehouse

One governed source of truth, built by Nekt.

Structure your own data layers. Annotate every column so agents query with context.
Hosted on Nekt Cloud, your GCP, or your AWS.

Raw

Amplitude

Hubspot

Facebook Ads

Financial

Intercom

LinkedIn Ads

Stripe

Product Images

Trusted

Sales

Customer Service

Service

Orbit's Catalog

Raw

Facebook Ads

Docs

Help

Facebook Ads

Data from Nekt's Facebook Ads account.

Raw in, business-ready out.

Shape your semantic layers with Queries or Notebooks in Python, PySpark, or web scraping. Every pipeline scheduled, versioned, and production-ready.

Raw

product.events

Ann@acme.io

Pro-Annual

ANN@acme.io

pro_annual

jk@globex.com

—

rc@umbrella.co

Starter

Raw

hubspot.accounts

Ann@acme.io

Pro-Annual

ANN@acme.io

pro_annual

jk@globex.com

—

rc@umbrella.co

Starter

Raw

stripe.subscriptions

Ann@acme.io

Pro-Annual

$2,400

ANN@acme.io

pro_annual

$2,400

jk@globex.com

—

$149

rc@umbrella.co

Starter

$89

Notebooks

import nekt

subs = nekt.read("raw.stripe.subscriptions")

accts = nekt.read("raw.hubspot.accounts")

usage = nekt.read("raw.product.events")

# Normalize email across sources

for df in (subs, accts, usage):

df["email"] = df.email.str.lower()

# Keep active subs, dedupe

subs = subs[subs.status == "active"].drop_duplicates("email")

# Roll up usage and join

usage_30d = usage.query(...).groupby("email")...

df = subs.merge(accts, ...).merge(usage_30d, ...)

nekt.write(df, "trusted.account_health")

Queries

SELECT

a.account_name,

LOWER(s.email) AS email,

s.mrr,

a.owner,

pm.clean AS plan,

COUNT(e.id) AS events_30d,

DATEDIFF('day', MAX(e.created_at), NOW()) AS days_silent

FROM raw.stripe.subscriptions s

LEFT JOIN raw.hubspot.accounts a USING (email)

LEFT JOIN raw.product.events e USING (email)

LEFT JOIN trusted.plan_map pm USING (plan)

WHERE s.status = 'active'

GROUP BY 1, 2, 3, 4, 5;

Trusted

mrr_daily

ann@acme.io

pro_annual

jk@globex.com

unknown

rc@umbrella.co

starter

md@northbeam.io

enterprise

Scheduled

Runs every hour

Nekt delivers the data, agents do the work.

Build with AI on Nekt's Platform API, Data API, or MCP server. Claude, Lovable, ChatGPT, OpenClaw, or your own agent share the same memory layer: governed business data, annotated for context, fresh on the schedule you set.

Everyday at 3pm

You

Build me a RevOps daily briefing. Pull from my Stripe, HubSpot and Postgres data. I want MRR by plan, the accounts adding the most this month, and anyone at risk of churning.

briefings.company.com/revops-daily

RevOps Daily Briefing

Thursday, April 23

Total MRR

$487,210

8.3%

New MRRApril

$42,180

19.2%

Open pipeline

$312,400

27 deals

Churn risk

$18,420

3 accounts

MRR by plan

Last 6 months

EnterpriseProStarter

$500k$400k$300k$200k$100k$0

Nov

$358k

Dec

$382k

Jan

$410k

Feb

$432k

Mar

$458k

Apr

$487k

Plan mix

This month, by MRR

$487k

Total MRR

Enterprise50%$245k

Pro Annual32%$156k

Starter6%$28k

Analyst

Your data has answers. Just ask.

Nekt Analyst turns natural language questions into SQL queries, executes them instantly, and delivers actionable insights — no technical expertise required.

Top acquisition channels

Monthly active users

Customer churn rate

Revenue by region

Analyst

Facebook Ads

Campaigns

Stripe

Payments

Which acquisition channels drove the most revenue last quarter?

Analyst

Here are your top acquisition channels for Q1 2026, ranked by revenue. I joined Facebook Ads campaign data with Stripe payments to attribute each customer to their first-touch source.

sql

Run

5 rows

2m ago

Save

Open on Explorer

channel

customers

revenue

roas

Facebook Ads

1,248

R$ 287,450

5.4x

Google Ads

892

R$ 198,320

7.9x

Instagram

643

R$ 156,890

4.1x

TikTok Ads

421

R$ 94,560

2.8x

Organic Search

387

R$ 88,210

22.1x

Expand table

Ask anything…

Manage context2

Try Analyst free

Integrations

Your data, connected to every AI tool.

Give Claude, ChatGPT, and any AI agent direct access to your data through Nekt's MCP Server and Data API.

Nekt MCP

The fastest way to connect AI to your data

The Model Context Protocol is the open standard for AI-to-data communication. Nekt speaks it natively — set up in under a minute.

Works with

Claude

Codex

Lovable

OpenClaw

and more

How are our marketing campaigns performing this quarter?

Used Nekt integration, loaded tools›

The trusted.campaign_performance table tracks all campaign metrics by channel. Let me query it.

Used Nekt integration›

Here's a breakdown of marketing campaign performance this quarter:

Top channels by conversions:

RankChannelConversions

1Google Ads1,248

2LinkedIn Ads876

3Email Nurture641

4Organic Search539

5Meta Ads412

Key takeaways:

Google Ads leads with 1,248 conversions — 38% of total pipeline, indicating strong paid search ROI.

LinkedIn is a strong #2 with 876 conversions, making it the top channel for B2B lead quality.

Platform API

Execute SQL queries and discover schemas via REST. Build in any language or connect your BI tool of choice.

Data API

Manage sources, catalogs, and pipelines programmatically. Terraform provider included.

Governance

Data permissions for every individual, every agent, and every team.

Direct permissions for individuals. Scoped API tokens for agents. Group-based access for teams. Every rule enforced at the data layer, down to the table.

Permission people down to the table. Grant edit, view, or manage rights across entire layers, single folders, or specific tables.

Manage access by team, not by person. Bundle people into groups like, then assign permissions once instead of user by user.

Give every agent its own scoped token. Issue API tokens with granular permissions, so agents only touch what they should.

Turn data into action-ready insights.

Explore, transform, and visualize business data across every team to build a data-driven culture that accelerates growth and drives revenue impact.

Explorer

Ask smart questions and run analyses with SQL, Python, or AI.

Notebooks & Queries

Organize metrics and prepare trustworthy, recurring datasets.

Destinations

Sync trusted data from Nekt directly into your tools.

What our customers say

“Our data was disjointed. With Nekt, we centralized everything in one place, and SQL queries made our work much easier.”

Julio Cesar

IT Manager, Unicooper

“We centralized all databases from various sources. Nekt immensely optimized the speed and quality of our team's deliveries.”

Vitor Sano

RevOps Manager, Softplan

“We automated complex DynamoDB extraction to Sheets using PySpark. We saved hours of work and accelerated strategic decisions.”

Rodrigo da Cruz

Data & BI Analyst, Aliança Divergente

“Our focus was always BI. Nekt eliminated technical rework, enabling stable dashboards and 100% focus on strategy.”

Mariana Duarte

Head of Intelligence, VMV GROUP

“Nekt is the heart of our operation. We automated manual reconciliations and built complex pipelines, ensuring reliable data for decisions.”

Alexandre Kobayashi

Head of Operations, Versi

“Before Nekt, our data sources, transformations, and storage layers were distributed across a complex stack that was difficult to operate on a daily basis. With Nekt, we gained efficiency and governance over the entire data lifecycle, which allowed us to simplify operations and deliver a much better and faster experience for our customers.”

Felipe Morgon Miranda

COO, ROQT Data & AI

“I’ve stopped wasting precious time on ingestion infrastructure and pay significantly less than I did with other platforms. I have much more control over transformations, and if I need a new source, they build it quickly. That used to take me weeks, not to mention the maintenance effort. The UX/UI for connecting and managing sources is excellent, and when something fails, I know exactly where the issue is without having to dig through logs.”