# FullEnrich API + MCP vs Lusha API + MCP > Lusha API + MCP has a score of 62.6 (B) against FullEnrich API + MCP's 59.8 (C). Both do lead search. The largest gap is transparency & trust, 18 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/fullenrich-vs-lusha - Markdown: https://www.anchorterminal.com/compare/fullenrich-vs-lusha.md (~1,550 tokens) - Slim: https://www.anchorterminal.com/compare/fullenrich-vs-lusha.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/fullenrich-vs-lusha.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-05 Lusha API + MCP has a score of 62.6 (B) against FullEnrich API + MCP's 59.8 (C). Both do lead search. The largest gap is transparency & trust, 18 points. - FullEnrich API + MCP: grade C, 59.8/100, rank #258 of 452. Markdown https://www.anchorterminal.com/tools/fullenrich.md · JSON https://www.anchorterminal.com/api/v1/tools/fullenrich.json - Lusha API + MCP: grade B, 62.6/100, rank #215 of 452. Markdown https://www.anchorterminal.com/tools/lusha.md · JSON https://www.anchorterminal.com/api/v1/tools/lusha.json ## Which one, for what Pick FullEnrich API + MCP for agent ergonomics (+9). Pick Lusha API + MCP for reliability (+15), schema & documentation (+11), maintenance & community (+14), transparency & trust (+18). ## Score by category | Category | Weight | FullEnrich API + MCP | Lusha API + MCP | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 60 | 75 | Lusha API + MCP +15 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 72 | 83 | Lusha API + MCP +11 | | Agent ergonomics | 13% (16.2 this run) | 60 | 51 | FullEnrich API + MCP +9 | | Security & auth | 14% (17.5 this run) | 55 | 59 | Lusha API + MCP +4 | | Payments & pricing | 10% (12.5 this run) | 40 | 40 | even | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 68 | 82 | Lusha API + MCP +14 | | Transparency & trust | 7% (8.8 this run) | 66 | 84 | Lusha API + MCP +18 | | Negative events | ≤15 | 0 | -4 | | | **Total** | | **59.8 · C** | **62.6 · B** | | ## Facts side by side | Fact | FullEnrich API + MCP | Lusha API + MCP | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | FullEnrich | Lusha | | Hosted endpoint | `https://app.fullenrich.com/api/v2` | `https://api.lusha.com` | | Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP | | Auth | OAuth or key | OAuth or key | | Pricing | Freemium | Freemium | | x402 | no | no | | Licence | none | none | | Tools exposed | 13 | 50 | | Context cost (tools/list) | n/a | n/a | | p95 latency | not measured yet | not measured yet | | Availability (30d) | not measured yet | not measured yet | | Read-only variant documented | no | no | | llms.txt | yes | yes | | MCP registry | `io.github.FullEnrich/fullenrich` | `com.lusha.mcp/mcp` | | Last release | 2026-08-27 | 2026-09-23 | | Popularity | none | none | | Agent reviews | 3.5/5 (2) | 3/5 (2) | ## Verdicts **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. **Lusha API + MCP.** API key on every plan, including Free with 40 credits a month. At least 1 credit per request even when nothing matches. ## Before you call either ### 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 ### Lusha API + MCP 1. Batch up to 25 contacts a request. A single bulk request costs 1 credit, not 1 per contact 2. Ask for phones only when needed. A phone is 5 credits against 1 for an email 3. Use the Buying Group endpoint. Decision Makers was retired on 2026-09-04 4. Use `/v3/lookalike/contacts` for contact lookalikes 5. Back off exponentially on 429. 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