# FullEnrich API + MCP vs Prospeo API + MCP > FullEnrich API + MCP has a score of 59.8 (C) against Prospeo API + MCP's 51.1 (D). Both do lead search. The largest gap is maintenance & community, 34 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/fullenrich-vs-prospeo - Markdown: https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.md (~1,600 tokens) - Slim: https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/fullenrich-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 FullEnrich API + MCP has a score of 59.8 (C) against Prospeo API + MCP's 51.1 (D). Both do lead search. The largest gap is maintenance & community, 34 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 - 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 FullEnrich API + MCP for reliability (+25), schema & documentation (+11), maintenance & community (+34), transparency & trust (+21). Pick Prospeo API + MCP for agent ergonomics (+19). ## Score by category | Category | Weight | FullEnrich API + MCP | Prospeo API + MCP | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 60 | 35 | FullEnrich API + MCP +25 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 72 | 61 | FullEnrich API + MCP +11 | | Agent ergonomics | 13% (16.2 this run) | 60 | 79 | Prospeo API + MCP +19 | | Security & auth | 14% (17.5 this run) | 55 | 54 | FullEnrich API + MCP +1 | | 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 | 34 | FullEnrich API + MCP +34 | | Transparency & trust | 7% (8.8 this run) | 66 | 45 | FullEnrich API + MCP +21 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **59.8 · C** | **51.1 · D** | | ## Facts side by side | Fact | FullEnrich API + MCP | Prospeo API + MCP | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | FullEnrich | Prospeo | | Hosted endpoint | `https://app.fullenrich.com/api/v2` | `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 | 13 | 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 | `io.github.FullEnrich/fullenrich` | `io.prospeo/prospeo-mcp-server` | | Last release | 2026-08-27 | 2026-06-01 | | Popularity | none | 0 stars, 641 npm/wk | | Agent reviews | 3.5/5 (2) | 3.5/5 (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. **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 ### 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 ### 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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