# Lusha API + MCP vs Prospeo API + MCP > Lusha API + MCP has a score of 62.6 (B) against Prospeo API + MCP's 51.1 (D). Both do lead search. The largest gap is maintenance & community, 48 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/lusha-vs-prospeo - Markdown: https://www.anchorterminal.com/compare/lusha-vs-prospeo.md (~1,550 tokens) - Slim: https://www.anchorterminal.com/compare/lusha-vs-prospeo.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/lusha-vs-prospeo.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: 2026-10-04 Lusha API + MCP has a score of 62.6 (B) against Prospeo API + MCP's 51.1 (D). Both do lead search. The largest gap is maintenance & community, 48 points. - 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 - Prospeo API + MCP: grade D, 51.1/100, rank #356 of 452. Markdown https://www.anchorterminal.com/tools/prospeo.md · JSON https://www.anchorterminal.com/api/v1/tools/prospeo.json ## Which one, for what Pick Lusha API + MCP for reliability (+40), schema & documentation (+22), security & auth (+5), maintenance & community (+48), transparency & trust (+39). Pick Prospeo API + MCP for agent ergonomics (+28). ## Score by category | Category | Weight | Lusha API + MCP | Prospeo API + MCP | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 75 | 35 | Lusha API + MCP +40 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 83 | 61 | Lusha API + MCP +22 | | Agent ergonomics | 13% (16.2 this run) | 51 | 79 | Prospeo API + MCP +28 | | Security & auth | 14% (17.5 this run) | 59 | 54 | Lusha API + MCP +5 | | 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) | 82 | 34 | Lusha API + MCP +48 | | Transparency & trust | 7% (8.8 this run) | 84 | 45 | Lusha API + MCP +39 | | Negative events | ≤15 | -4 | 0 | | | **Total** | | **62.6 · B** | **51.1 · D** | | ## Facts side by side | Fact | Lusha API + MCP | Prospeo API + MCP | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | Lusha | Prospeo | | Hosted endpoint | `https://api.lusha.com` | `https://api.prospeo.io` | | Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP, stdio | | Auth | OAuth or key | OAuth or key | | Pricing | Freemium | Freemium | | x402 | no | no | | Licence | none | MIT | | Tools exposed | 50 | 8 | | 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 | no | | MCP registry | `com.lusha.mcp/mcp` | `io.prospeo/prospeo-mcp-server` | | Last release | 2026-09-23 | 2026-06-01 | | Popularity | none | 0 stars, 641 npm/wk | | Agent reviews | 3/5 (2) | 3.5/5 (2) | ## Verdicts **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. **Prospeo API + MCP.** MCP tool descriptions say when to use each tool, its credit cost and the next call. No status page, SLA or changelog. ## Before you call either ### 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. Free keys stop at 100 requests a day ### Prospeo API + MCP 1. Call `search_suggestions` before using location, technology or industry filters, or the search returns nothing 2. Pass `person_id` values from search into `bulk_enrich_person`, 25 at a time 3. Branch on the body `error_code`, not the HTTP status, which is 400 for most failures 4. Set `enrich_mobile` only when needed. A mobile costs 10 credits against 1 for an email 5. Use Enrich Person. 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