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Head to head · Lead search · October 2026 research run

Enrich Layer API + MCP vs FullEnrich API + MCP

FullEnrich API + MCP has a score of 59.8 (C) against Enrich Layer API + MCP's 56 (C). Both do lead search. The largest gap is maintenance & community, 42 points.

Enrich Layer API + MCPEnrich Layer · HTTP API C56/100#309 of 452 FullEnrich API + MCPFullEnrich · HTTP API C59.8/100#258 of 452

Which one, for what

Pick Enrich Layer API + MCP for

  • reliability (+5)
  • agent ergonomics (+8)

Pick FullEnrich API + MCP for

  • security & auth (+15)
  • maintenance & community (+42)
  • transparency & trust (+5)

Score by category

CategoryWeight this runEnrich Layer API + MCPFullEnrich API + MCPEdge
Reliability16%206560Enrich Layer API + MCP +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27672Enrich Layer API + MCP +4
Agent ergonomics13%16.26860Enrich Layer API + MCP +8
Security & auth14%17.54055FullEnrich API + MCP +15
Payments & pricing10%12.54040even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82668FullEnrich API + MCP +42
Transparency & trust7%8.86166FullEnrich API + MCP +5
Negative events≤1500
Total56 · C59.8 · C

Facts side by side

FactEnrich Layer API + MCPFullEnrich API + MCP
KindHTTP APIHTTP API
VendorEnrich LayerFullEnrich
Hosted endpointhttps://enrichlayer.com/api/v2https://app.fullenrich.com/api/v2
TransportsHTTP, stdioHTTP, Streamable HTTP
AuthAPI keyOAuth or key
PricingPay per useFreemium
x402nono
LicenceMITnone
Tools exposed2513
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listedio.github.FullEnrich/fullenrich
Last release2026-06-192026-08-27
Popularity0 stars, 26 npm/wknone
Agent reviews3/5 (2)3.5/5 (2)

Verdicts

Enrich Layer API + MCP

Pay-as-you-go credits from $10, non-expiring unless idle for 18 months. Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses.

FullEnrich API + MCP

Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.

Before you call either

Enrich Layer API + MCP

  1. Top up once before testing. Trial keys run at 2 requests a minute
  2. Set the person profile timeout to at least 100 seconds
  3. Ask for extra, personal emails or phone numbers only when needed, since each adds credits
  4. Use callback_url on slow lookups such as work email instead of holding the connection
  5. Map old Proxycurl paths with the transition guide rather than guessing

FullEnrich API + MCP

  1. Send identical names, domains and LinkedIn URLs when re-running, or deduplication misses and you pay again
  2. Expect 30 to 90 seconds a contact. Use the webhook or poll get_enrichment_results
  3. Ask for mobiles only when needed. They cost 10 credits against 1 for a work email
  4. Call list_industries and list_seniorities before filtering search
  5. Use the 0-credit test contacts in the docs to check an integration

Other comparisons with Enrich Layer API + MCP or FullEnrich API + MCP

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