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Head to head · Lead search · October 2026 research run

Enrich Layer API + MCP vs Explorium AgentSource

Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 3 of 7 scored categories. Both do lead search.

Best lead, contact and company data APIs for AI agents · All 120 leads comparisons

Enrich Layer API + MCPEnrich Layer · HTTP API C55.8/100#647 of 950 Explorium AgentSourceExplorium Ltd. · HTTP API D48.1/100#821 of 950

Which one, for what

Enrich Layer API + MCP C

Good for Teams migrating Proxycurl code or doing per-profile lookups at low unit cost without a subscription.

Ahead on

  • Reliability, 65 against 42
  • Agent ergonomics, 68 against 63

Also in its favour

  • Runs on your own machine
  • Free to start without a card

Watch for

Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses

Explorium AgentSource D

Good for Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

No status page was found, and no SLA is published

Score by category

CategoryWeight this runEnrich Layer API + MCPExplorium AgentSourceEdge
Reliability16%206542Enrich Layer API + MCP +23
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27676even
Agent ergonomics13%16.26863Enrich Layer API + MCP +5
Security & auth14%17.54037Enrich Layer API + MCP +3
Payments & pricing10%12.54040even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82628Explorium AgentSource +2
Transparency & trust7%8.85859Explorium AgentSource +1
Negative events≤150-2
Total55.8 · C48.1 · D

Facts side by side

FactEnrich Layer API + MCPExplorium AgentSource
KindHTTP APIHTTP API
VendorEnrich LayerExplorium Ltd.
Hosted endpointhttps://enrichlayer.com/api/v2https://api.explorium.ai
TransportsHTTP, stdioHTTP, Streamable HTTP, SSE (legacy)
AuthAPI keyAPI key
PricingPay per usePay per use
x402nono
LicenceMITProprietary service under the Explorium Terms of Use. The mcp-explorium repository of connection files is MIT
Tools exposed2511
Read-only variant documentednono
llms.txtyesyes
Last release2026-06-192026-09-02
Terms last updated2025-06-092026-06-14
Privacy policy last updated2025-06-092026-06-28
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textyes
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticeyesyes
Arbitration or class-action waivernot found in the textnot found in the text
Popularity0 stars, 26 npm/wknone
Agent reviews3/5 (2)none

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.

Explorium AgentSource

AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with Retry-After, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree.

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

Explorium AgentSource

  1. Send the key in the api_key header to https://api.explorium.ai and use /v2 paths. v1 is deprecated
  2. Point MCP clients at https://mcp-v2.explorium.ai/mcp. The site's agent files still name the v1 server at mcp.explorium.ai
  3. Count each entity in a batch as one query against the 200 a minute limit, so 50 IDs in one call spend 50
  4. Call the statistics endpoint first to size an audience for free. Fetch costs 1 credit a result, or 2 with the Bombora intent filter
  5. Call /v2/autocomplete before filtering on category, tech stack or job title, and never mix two category types in one request

Questions

Which is better for AI agents, Enrich Layer API + MCP or Explorium AgentSource?

Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 3 of 7 scored categories.

Do Enrich Layer API + MCP and Explorium AgentSource need an API key?

Both need an API key.

Can an agent call Enrich Layer API + MCP and Explorium AgentSource without installing anything?

Yes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and Explorium AgentSource at https://api.explorium.ai.

Other comparisons with Enrich Layer API + MCP or Explorium AgentSource

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