Dynamiq vs Scrupp – Features, Pricing & Pros/Cons

Dynamiq

Build, deploy, and monitor enterprise-grade AI agents and agentic workflows — all in your own infrastructure.

Scrupp

Scrape Sales Navigator, LinkedIn, and Apollo leads for free — pay only when you enrich with verified emails and phone numbers.

Try Scrupp

Quick Comparison: Dynamiq vs Scrupp

A high-level overview of pricing, key strengths, and use cases to help you choose the right tool fast.

Features

Dynamiq

Scrupp

Quick View

Dynamiq is an enterprise LLMOps platform founded in 2024 by Vitalii Duk and headquartered in San Francisco, California. It enables engineering and AI teams to…

Scrupp is a Sales Navigator, LinkedIn, and Apollo scraper and B2B lead enrichment platform that makes scraping entirely free and charges only when it successfully…

Pricing

Freemium: Starting at $29/mo

Key Strength

• Low-Code Workflow Builder — drag-and-drop canvas to visually compose multi-step agentic pipelines with LLM nodes, conditional logic, Python code…

• Free LinkedIn & Sales Navigator Scraping — Paste any Sales Navigator or LinkedIn search URL and export up to…

Best For

Dynamiq is built for technical teams at mid-size to large organizations that need to deploy reliable, compliant AI agents without…

Scrupp is purpose-built for teams that need high-volume, clean, CRM-ready lead data from LinkedIn and Apollo at the lowest cost…

Detailed Feature Breakdown

Go deeper into the specific capabilities, pros, cons, and integrations of both platforms.

Features

Dynamiq

Scrupp

Overview

Dynamiq is an enterprise LLMOps platform founded in 2024 by Vitalii Duk and headquartered in San Francisco, California. It enables engineering and AI teams to build, deploy, monitor, and fine-tune AI agents and agentic workflows using a low-code visual interface, with support for on-premise, hybrid, and cloud deployments. The platform is SOC 2, GDPR, and HIPAA compliant — designed specifically for regulated industries that need full data ownership and governance.

Scrupp is a Sales Navigator, LinkedIn, and Apollo scraper and B2B lead enrichment platform that makes scraping entirely free and charges only when it successfully finds a verified email or phone number — 1 credit per result. Used by 5,000+ sales teams worldwide, it exports structured lead datasets in CSV, XLSX, or API format with verified emails, phone numbers, and company data, and integrates natively with HubSpot and connects to any stack via REST API and webhooks.

It also monitors contacts for job changes and funding alerts, exports LinkedIn post engagement and job listing data as high-intent buyer signals, and includes AI-powered natural language company search.

Key Features

• Low-Code Workflow Builder — drag-and-drop canvas to visually compose multi-step agentic pipelines with LLM nodes, conditional logic, Python code blocks, RAG retrievals, and tool integrations; no deep ML engineering required.

• Multi-Model LLM Support — integrates natively with OpenAI, Anthropic Claude, Google Gemini, Meta Llama 2, Hugging Face, and Replicate; switch or combine models within a single workflow without rewriting logic.

• RAG Knowledge Bases — ingest PDFs, documents, and company data sources into vector databases in minutes; agents retrieve and cite your proprietary data rather than relying on generic LLM knowledge.

• Two-Click LLM Fine-Tuning — fine-tune open-source LLMs on your own datasets directly within the platform; models you build become your owned assets, not rented API endpoints.

• Guardrails & Output Validation — applies pre-built and custom validators to every LLM response to detect hallucinations, sensitive data exposure, PII leaks, and format violations before output reaches users.

• Observability & Evaluations — logs all agent interactions, tracks key performance metrics, runs large-scale LLM quality evaluations, and provides real-time debugging views so engineering teams can monitor production behavior precisely.

• On-Premise & VPC Deployment — runs entirely within your own corporate infrastructure, VPC, AWS, IBM Cloud, or IBM watsonx; satisfies strict regulatory requirements in finance, healthcare, and the public sector.

• Multi-Agent Orchestration — design and deploy networks of specialized LLM agents that collaborate on complex tasks, share context, and connect to internal APIs — all managed from a single visual interface.

• Free LinkedIn & Sales Navigator Scraping — Paste any Sales Navigator or LinkedIn search URL and export up to 2,500 structured leads for free; scraping itself never costs credits on any plan, only enrichment does.

• Email Enrichment at 1 Credit per Lead — Find verified business emails for scraped profiles; charged 1 credit per successfully found email only — no charge for contacts where email is not found.

• Phone Number Enrichment at 1 Credit per Lead — Retrieve direct and mobile phone numbers for prospects; same 1-credit-per-successful-find model; direct dials and mobile numbers included where available.

• Apollo Export — Scrape and clean Apollo.io segments into consistent, CRM-ready datasets; extract company fields, contacts, and firmographics from Apollo lists without manual column mapping.

• Data Cleaning — Automatically remove messy formatting, deduplicate across lists, exclude blacklisted contacts already in your CRM, and standardize column schemas before export.

• Lead & Company Monitoring — Track contacts for job changes and companies for funding rounds; receive automatic notifications when signals trigger — no manual re-checking of profiles needed.

• LinkedIn Posts & Jobs Export — Export who liked and commented on any LinkedIn post (warm intent signals), and extract companies hiring for specific roles (buyer intent signals) — two high-value data sources unavailable in most competing scrapers.

• AI Company Search — Describe your ideal customer in plain English (e.g., 'SaaS companies in Germany with 50–200 employees hiring for sales') and get matching companies with verified contacts instantly, without navigating filter trees.

Pros

On-premise and VPC deployment satisfies HIPAA, SOC 2, and GDPR compliance out of the box — rare at this price point
Supports OpenAI, Anthropic, Gemini, Llama 2, Hugging Face, and Replicate in one platform — no single-vendor lock-in
Two-click LLM fine-tuning lets teams own their models rather than paying per-token rental fees indefinitely
Low-code canvas reduces a 6-month AI development cycle to hours according to company-published benchmarks
Built-in guardrails prevent PII leaks, hallucinations, and format violations before output ever reaches end users
Free plan includes 1 deployed workflow and 1,000 executions per month — enough to meaningfully evaluate the platform
Forbes-covered and pre-seed funded in 2024, signaling early enterprise validation from credible third parties

Scraping is genuinely free on all plans — you only pay credits when enrichment successfully returns a verified email or phone number, a billing model no major competitor currently matches
At $0.012 per verified email on the Pro plan ($59/mo for 5,000 credits), Scrupp is one of the most cost-efficient verified data sources in its category
LinkedIn Posts engagement export surfaces warm, high-intent prospects who have already interacted with relevant content — a unique feature not found in most scrapers
LinkedIn Jobs export identifies companies actively investing in specific departments — a genuine buyer intent signal for targeted outbound
AI company search lets you describe your ICP in plain English rather than navigating multi-filter interfaces
Built-in data cleaning, deduplication, and blacklist exclusion means exports are CRM-ready without manual post-processing
Rated 4.7/5 from 1,000+ reviews; consistent column schemas praised by agency users for eliminating cleanup hours per client delivery

Cons

Growth plan jumps to $975/month — a steep step up from Solo at $29/month with no mid-tier option in between
Fine-tuning and multi-user collaboration are locked behind the $975/month Growth plan, excluding solo developers and small teams
The platform was founded in 2024 and is still early-stage — long-term reliability and roadmap maturity remain unproven vs. established LLMOps competitors
Enterprise pricing is not publicly listed, requiring a sales call before you can evaluate total cost of ownership
Community and email-only support on Free and Solo plans; dedicated support requires enterprise engagement
With 11–50 employees, the team is small relative to the complexity of enterprise deployments it targets

No built-in cold email sequencing or LinkedIn outreach automation — Scrupp is a data and enrichment tool only; a separate outreach platform is always required to run campaigns
Phone number coverage is acknowledged as 'when available' — not guaranteed for every profile, which limits reliability for teams prioritizing direct-dial outreach
Free plan export cap of 100 leads per batch is low for meaningful testing — the 2,500-lead batch size requires the $29/mo Starter plan or above
AppSumo reviewers rate it 3.92/5 (39 reviews), lower than the 4.7/5 site-reported figure — independent review depth is thin at 22 G2 reviews, making large-scale benchmarking harder
No native integration with cold email senders like Instantly, Smartlead, or Lemlist beyond manual CSV — unlike Findymail's one-click push to these platforms
Credits rollover policy is confirmed on Starter and above but cap limits are not explicitly published — teams with uneven monthly volume should confirm rollover specifics before committing

Best For

Dynamiq is built for technical teams at mid-size to large organizations that need to deploy reliable, compliant AI agents without assembling a dedicated ML infrastructure team from scratch.

• Enterprise AI and engineering teams — need a single platform to prototype, deploy, monitor, and fine-tune agentic workflows without managing separate MLOps, vector DB, and observability tools.

• Finance, healthcare, and public sector organizations — require on-premise or VPC deployment to satisfy SOC 2, GDPR, and HIPAA requirements before any AI touches sensitive customer or patient data.

• AI architects and product managers with technical backgrounds — use the low-code canvas to design full agentic pipelines and test LLM outputs without writing infrastructure code, while data engineers extend logic using Python nodes.

• Enterprises exploring LLM ownership — want to fine-tune and own open-source LLMs on proprietary data rather than paying indefinite per-token fees to third-party API providers.

Scrupp is purpose-built for teams that need high-volume, clean, CRM-ready lead data from LinkedIn and Apollo at the lowest cost per verified contact.

• SDRs and account executives on Sales Navigator — Export 1,000 verified leads in approximately 10 minutes from any Sales Navigator search, with emails and phones enriched at 1 credit each; no per-contact charge for contacts that can't be enriched.

• Lead generation agencies — Consistent column schemas, built-in deduplication, and blacklist exclusion mean client deliverables are ready for upload without post-export cleanup; multiple agency reviewers cite this as their primary reason for choosing Scrupp.

• RevOps and CRM admins — Native HubSpot sync, REST API, and webhook triggers support automated, ongoing CRM enrichment pipelines that keep contact records current without manual CSV cycles.

• Recruiters — Export candidate profiles with contact details, current employer, job title, and seniority directly from LinkedIn Recruiter or Sales Navigator searches; phone and email enrichment available at the same 1-credit rate as sales prospecting.

• Growth hackers and intent-based marketers — LinkedIn Posts engagement export and LinkedIn Jobs export give access to high-intent lead signals — active content engagers and companies in active buying mode — that filter-based search alone cannot surface.

Pricing Details

Free ($0/mo): 1 user, 1 deployed workflow, 1 RAG knowledge base, 1,000 workflow executions per month, community-based customer support.

Solo ($29/mo): 1 user, 5 deployed workflows, 5 RAG knowledge bases, 10,000 workflow executions per month, email-based customer support.

Growth ($975/mo): 10 users, 20 deployed workflows, 20 RAG knowledge bases, 20 fine-tuned models, 100,000 workflow executions per month, email-based customer support.

Enterprise (Custom Pricing): On-premise and VPC deployment, dedicated infrastructure within your own cloud environment, PII protection and data residency controls, fine-grain access controls and user permissions, priority support with SLA guarantees, custom execution and user limits.

Free ($0/mo): 100 enrichment credits/month, unlimited scraping, up to 100 leads per export batch, Sales Navigator export, LinkedIn export, Apollo export, Chrome extension, CSV and XLSX download, data cleaning.

Starter ($29/mo): 1,000 enrichment credits/month, unlimited scraping, up to 2,500 leads per export batch, email enrichment (1 cr/lead), phone enrichment (1 cr/lead), data cleaning, CSV enrichment upload, credits rollover, HubSpot integration, all Free plan features.

Growth ($39/mo): 2,000 enrichment credits/month, unlimited scraping, up to 2,500 leads per export batch, all Starter features, credits rollover.

Pro ($59/mo): 5,000 enrichment credits/month, unlimited scraping, up to 2,500 leads per export batch, all Growth features, full REST API access, webhook triggers, team shared folders, team credit pool, multi-account support, credits rollover.

Enterprise (Custom pricing, 10,000+ credits/month): Up to 10,000 leads per export batch, all Pro features, custom credit volume, dedicated support, custom integrations and field mapping.

Unique Features

Dynamiq stands apart from generic no-code AI builders through its enterprise-first architecture — combining on-premise deployment, LLM ownership via fine-tuning, and a full observability stack in a single low-code platform.

• On-Premise and VPC Deployment as a Standard Feature — most LLMOps and AI agent platforms are cloud-only; Dynamiq supports deployment inside your own VPC, AWS environment, IBM Cloud, or IBM watsonx, making it one of the few platforms where regulated-industry teams can run AI agents without sending data off-premises.

• Two-Click LLM Fine-Tuning with Ownership — rather than just calling external LLM APIs, Dynamiq lets you fine-tune open-source models on your own data directly in the platform and retain them as owned assets; this transitions teams from paying per-token rental fees to building proprietary AI models.

• Full LLMOps Lifecycle in One Platform — most tools specialize in either building (workflow canvas), deploying (serving infrastructure), or monitoring (observability); Dynamiq handles prototype, test, deploy, observe, and fine-tune in a single workspace, eliminating the 4–6 tool stack most enterprise AI teams currently manage.

• Guaranteed Structured Output — LLMs are forced to follow a set output format (JSON, YAML, etc.) at the platform level rather than relying on prompt engineering alone; this is critical for enterprise workflows where downstream systems depend on predictable, parseable AI responses.

Scrupp's clearest differentiator is a structural pricing decision — and two data sources — that no major competitor currently replicates.

• Scraping is always free, enrichment is always 1 credit — Every other scraping or email-finding tool in this category charges per contact retrieved, per search, or per profile visited. Scrupp separates the two operations completely: pulling data from LinkedIn or Sales Navigator costs nothing on any plan. You spend 1 credit only when it successfully returns a verified email, and 1 credit only when it successfully returns a phone number. Teams that scrape large volumes but enrich selectively pay a fraction of what competitors charge for equivalent output.

• LinkedIn Posts engagement export — No mainstream scraper at this price tier lets you export the full list of people who liked or commented on a specific LinkedIn post. This converts passive content engagement into a warm, pre-qualified prospect list — contacts who have already signaled awareness of a topic, company, or conversation without any outreach yet.

• LinkedIn Jobs as a buyer intent data source — Exporting companies currently hiring for specific roles turns LinkedIn's job listings into an intent data signal that tells you which organizations are actively building the team you sell to. A VP Sales role posted at a Series B SaaS company is a stronger buying signal for a sales tool than any keyword filter.

• 1-credit-per-result flat model across email and phone — Unlike tools that charge different rates for emails versus phone numbers, or premium rates for mobile numbers, Scrupp applies the same 1-credit cost to all enrichment types. This simplifies budgeting and removes the uncertainty of variable credit costs when building mixed email-plus-phone outreach lists.

Integrations

Dynamiq integrates with major LLM providers, cloud infrastructure environments, and enterprise data systems for end-to-end agentic AI deployment.

• LLM Providers — connects natively to OpenAI (GPT-4o, GPT-4), Anthropic (Claude 3.5), Google Gemini, Meta Llama 2, Hugging Face models, and Replicate; multiple models can be combined within a single workflow.

• Cloud & Infrastructure Deployment — supports cloud-native SaaS, on-premise VPC, AWS, IBM Cloud, and IBM watsonx catalog deployment; Dedicated Infrastructure mode keeps all fine-tuning and model serving within your own environment.

• Vector Databases & RAG Data Sources — ingests PDFs, documents, and structured data into built-in vector storage; supports integration with external vector DBs for teams with existing data infrastructure.

• Internal APIs & Enterprise Systems — AI Actions and Python code nodes connect agents to any internal REST API, database, or third-party service; the AgentOps layer manages API connections and tool calls for multi-agent orchestration at scale.

Scrupp connects with the core CRM, automation, and workflow tools in the B2B sales and marketing stack.

• HubSpot — Native two-way integration: import contact lists from HubSpot to enrich, map LinkedIn properties to HubSpot fields, and sync enriched emails and phone numbers back into HubSpot contact records automatically; available on Starter plan and above.

• REST API — Full API access on the Pro plan for programmatic lead scraping, enrichment triggering, and data retrieval; supports JSON and CSV responses, custom field mapping, and HMAC signature verification for secure endpoint connections.

• Webhooks — Event-driven webhook triggers fire when export jobs complete, new enriched contacts are ready, or monitoring alerts fire for job changes and funding rounds; push data to any CRM, Zapier workflow, or custom endpoint automatically.

• Zapier & Make — Connect Scrupp exports and enrichment events to 5,000+ apps via Zapier or Make; trigger sequences in Instantly or Smartlead, create HubSpot deals, send Slack alerts, or log contacts to Google Sheets when jobs complete.

• Chrome Extension — Works across LinkedIn, LinkedIn Sales Navigator, and Apollo.io; supports one-click save for individual profiles and batch select from search result pages; tracks export progress in real time and pushes directly to Scrupp lists.

Alternatives

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Findymail

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AeroLeads

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GetProspect

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Frequently Asked Questions

Which is better, Dynamiq or Scrupp?

Which is cheaper, Dynamiq or Scrupp?

What does Dynamiq do better than Scrupp?

What does Scrupp do better than Dynamiq?

Can I use Dynamiq and Scrupp together?

Who should choose Dynamiq over Scrupp?

Who should choose Scrupp over Dynamiq?

Is Dynamiq or Scrupp better for beginners?

Do Dynamiq and Scrupp offer free plans?

Which has better support, Dynamiq or Scrupp?

Expert Verdict

Final Analysis: Which is better?

Dynamiq (Freemium: Starting at $29/mo) is the better choice for Dynamiq is built for technical teams at mid-size to large organizations that need to deploy.. Scrupp (Freemium: Starting at $29/mo) wins for Scrupp is purpose-built for teams that need high-volume, clean, CRM-ready lead data from LinkedIn and.. Both are production-grade AI tool platforms in 2026, but they serve different priorities. Choose based on your specific workflow requirements, not marketing.

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Dynamiq

Scrupp

Quick Comparison: Dynamiq vs Scrupp

Detailed Feature Breakdown

Frequently Asked Questions

Final Analysis: Which is better?

Essential Resources for Dynamiq & Scrupp

Authority Hub

Alternatives

Full Review

Best Tools

Top Tools

Tutorial

AI Tools Directory

Submit Tool

AI Tool Coupons

Promote This Comparison

Member Feedback & Comparison Discussion

Write a Review

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