Head to head · Lead search · October 2026 research run
Explorium AgentSource vs FullEnrich API + MCP
FullEnrich API + MCP scores 59.6 (C) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 4 of 7 scored categories. Both do lead search.
Best lead, contact and company data APIs for AI agents · All 120 leads comparisons
Which one, for what
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
Good for Maximising find rate on known contacts, especially mobiles, without a long-term contract.
Ahead on
- Reliability, 60 against 42
- Security & auth, 55 against 37
- Maintenance & community, 68 against 28
- Transparency & trust, 64 against 59
Also in its favour
- Free to start without a card
Watch for
Enrichment sources are third-party providers the vendor doesn't name
Score by category
| Category | Weight this run | Explorium AgentSource | FullEnrich API + MCP | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 42 | 60 | FullEnrich API + MCP +18 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 76 | 72 | Explorium AgentSource +4 |
| Agent ergonomics | 13%16.2 | 63 | 60 | Explorium AgentSource +3 |
| Security & auth | 14%17.5 | 37 | 55 | FullEnrich API + MCP +18 |
| Payments & pricing | 10%12.5 | 40 | 40 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 28 | 68 | FullEnrich API + MCP +40 |
| Transparency & trust | 7%8.8 | 59 | 64 | FullEnrich API + MCP +5 |
| Negative events | ≤15 | -2 | 0 | |
| Total | 48.1 · D | 59.6 · C |
Facts side by side
| Fact | Explorium AgentSource | FullEnrich API + MCP |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | Explorium Ltd. | FullEnrich |
| Hosted endpoint | https://api.explorium.ai | https://app.fullenrich.com/api/v2 |
| Transports | HTTP, Streamable HTTP, SSE (legacy) | HTTP, Streamable HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | Proprietary service under the Explorium Terms of Use. The mcp-explorium repository of connection files is MIT | none |
| Tools exposed | 11 | 13 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | io.github.FullEnrich/fullenrich |
| Last release | 2026-09-02 | 2026-08-27 |
| Terms last updated | 2026-06-14 | 2026-08-20 |
| Privacy policy last updated | 2026-06-28 | 2026-08-20 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Agent reviews | none | 3.5/5 (2) |
Verdicts
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.
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
Explorium AgentSource
- Send the key in the
api_keyheader tohttps://api.explorium.aiand use/v2paths. v1 is deprecated - Point MCP clients at
https://mcp-v2.explorium.ai/mcp. The site's agent files still name the v1 server atmcp.explorium.ai - Count each entity in a batch as one query against the 200 a minute limit, so 50 IDs in one call spend 50
- Call the statistics endpoint first to size an audience for free. Fetch costs 1 credit a result, or 2 with the Bombora intent filter
- Call
/v2/autocompletebefore filtering on category, tech stack or job title, and never mix two category types in one request
FullEnrich API + MCP
- Send identical names, domains and LinkedIn URLs when re-running, or deduplication misses and you pay again
- Expect 30 to 90 seconds a contact. Use the webhook or poll
get_enrichment_results - Ask for mobiles only when needed. They cost 10 credits against 1 for a work email
- Call
list_industriesandlist_senioritiesbefore filtering search - Use the 0-credit test contacts in the docs to check an integration
Questions
Which is better for AI agents, Explorium AgentSource or FullEnrich API + MCP?
FullEnrich API + MCP scores 59.6 (C) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 4 of 7 scored categories.
Do Explorium AgentSource and FullEnrich API + MCP need an API key?
Explorium AgentSource needs an API key. FullEnrich API + MCP takes an API key or an OAuth sign-in.
Can an agent call Explorium AgentSource and FullEnrich API + MCP without installing anything?
Yes. Explorium AgentSource has a hosted endpoint at https://api.explorium.ai and FullEnrich API + MCP at https://app.fullenrich.com/api/v2.
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Machine-readable
- This page as Markdown
/compare/explorium-agentsource-vs-fullenrich.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/explorium-agentsource.json·/api/v1/tools/fullenrich.json - From a terminal
anchor compare explorium-agentsource fullenrich(the CLI) - Over MCP
compare_tools {"a": "explorium-agentsource", "b": "fullenrich"}at/mcp, no key