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EnrichvsDatagma

Enrich vs Datagma

Last reviewed: March 2026

100x more lookups with a full enrichment suite

Datagma specializes in real-time B2B data enrichment with job change detection and company data. Enrich offers dramatically more credits per dollar, additional enrichment types, and a broader API suite. For high-volume enrichment, Enrich provides superior value.

What is Datagma?

Datagma is a real-time B2B data enrichment platform that focuses on finding fresh, verified data rather than relying on static databases. The platform offers person enrichment, company enrichment, email finder, phone finder, and job change detection. Datagma differentiates by sourcing data in real-time from across the web.

The platform is popular with growth teams and data-driven companies that need current data. Datagma offers API access, bulk enrichment via CSV, and integrations with CRMs and marketing tools. Their real-time approach means data is typically more current than database-cached alternatives.

Datagma homepage showing B2B contact detail finder
Datagma offers real-time data enrichment with verified emails and mobile phones. GDPR compliant with no database storage.

Pricing: Enrich vs Datagma

Datagma pricing

Starter$49/mo

1,000 lookups/month. Person and company enrichment. Email finder.

Growth$149/mo

5,000 lookups/month. All enrichment types. Job change detection.

Business$499/mo

25,000 lookups/month. Priority support. Higher rate limits.

EnterpriseCustom

Custom volume. Dedicated support. SLA.

Enrich pricing

Free$0

100 credits. No credit card required.

Growth Pack$49/mo

100,000 credits ($0.0005/credit). No per-seat fee.

Scale Pack$149/mo

500,000 credits ($0.0003/credit). No contracts.

Pro Pack$499/mo

2,500,000 credits ($0.0002/credit). Best value at scale.

EnterpriseCustom

Talk to sales for custom volume.

Pricing verdict
At the same $49/mo price point, Datagma gives 1,000 lookups while Enrich gives 100,000 credits (enough for 10,000+ email lookups). At $149/mo, Datagma provides 5,000 lookups vs Enrich's 500,000 credits. The volume difference is significant for teams doing enrichment at scale.

See full Enrich pricing with all plan details.

Feature comparison

Feature
Enrich
Datagma
Pricing (same budget)
$49/mo for 100,000 credits
$49/mo for 1,000 lookups
Email Finder
94%+ enrichment accuracy, near-instant API responses (under 200ms)
Real-time email finding
Phone Finder
Direct phone numbers via API
Phone finder included
Email Validation
SMTP verification, catch-all detection
Verification included in enrichment
Reverse Email Lookup
Full person + company from email
Person enrichment from email
Job Change Detection
Not currently offered
Real-time job change alerts
API & SDKs
REST API, Node.js SDK, Go SDK, MCP server
REST API, Python SDK
Lead Finder
a 300M+ contact database, 100+ filters, 1 credit/person
Not available
People Search / Employee Finder
Find employees by company, title, seniority (1 credit)
Company enrichment with employee data
Waterfall ICP Search
Cascading multi-source ICP matching via API
Not available
Company Follower Analysis
Analyze company followers for lookalike targeting
Not available
Technographic Filters
Filter by CRM, marketing automation, cloud provider
Not available
Funding & Hiring Signals
Funding rounds and hiring trends in Lead Finder
Not available
Bulk processing
Up to 500K records per batch with webhooks
CSV upload, limited by lookup count
AI agent integration
Native MCP server for Claude, OpenAI, Gemini
No native AI agent integration

Datagma's real-time data advantage

Datagma's key differentiator is real-time data sourcing. Rather than returning cached database records, Datagma retrieves fresh data from across the web at query time. This means data is typically more current, which is valuable for job change detection and company updates. The tradeoff is higher per-lookup cost and potentially slower response times.

Job change detection

Datagma offers job change detection, alerting you when contacts change roles or companies. This is valuable for sales teams targeting prospects who recently moved to new positions. Enrich does not currently offer job change alerts. If this feature is critical, Datagma has a genuine advantage.

Volume comparison

The biggest difference is volume. At every price tier, Enrich provides roughly 100x more lookups than Datagma. For teams doing bulk enrichment, CRM data cleaning, or high-volume prospecting, this volume difference translates to significant cost savings.

Why teams choose Enrich over Datagma

Pros
  • 100x more lookups per dollar: Datagma's Starter gives 1,000 lookups for $49/mo. Enrich's Growth Pack gives 100,000 credits for the same price. Dramatically more data per dollar.
  • Free tier available: Enrich offers 100 free credits with no credit card. Datagma does not have a free plan.
  • AI-native integration: Enrich's MCP server lets AI agents perform enrichment autonomously. Built for the AI-first workflow.
  • Better scale pricing: Enrich's Pro Pack offers 2.5M credits for $499/mo. Datagma's Business plan provides 25,000 lookups for the same price. 100x more at scale.
Cons
  • Datagma is a broader platform with more built-in sales tools
  • Datagma may be better if you need an all-in-one suite

100x more lookups per dollar

Datagma's Starter gives 1,000 lookups for $49/mo. Enrich's Growth Pack gives 100,000 credits for the same price. Dramatically more data per dollar.

Free tier available

Enrich offers 100 free credits with no credit card. Datagma does not have a free plan.

AI-native integration

Enrich's MCP server lets AI agents perform enrichment autonomously. Built for the AI-first workflow.

Better scale pricing

Enrich's Pro Pack offers 2.5M credits for $499/mo. Datagma's Business plan provides 25,000 lookups for the same price. 100x more at scale.

Bottom line
If you need a focused, developer-friendly data enrichment API with transparent credit-based pricing, Enrich is the better choice. Start with 100 free credits to see the difference.

Frequently Asked Questions

Switch to Enrich

100 free API credits. No credit card required. See the data quality for yourself.