{ "data": { "a": { "slug": "apollo", "name": "Apollo API + MCP", "vendor": "Apollo.io", "vendorUrl": "https://www.apollo.io", "kind": "http-api", "category": "lead-data", "summary": "People and company search over Apollo's database of about 240 million contacts and 30 million companies, person and company enrichment with email and mobile reveal, and the Apollo CRM and sequence objects.", "url": "https://www.anchorterminal.com/tools/apollo", "markdownUrl": "https://www.anchorterminal.com/tools/apollo.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/apollo.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/apollo.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.apollo.io/api/v1", "packages": [], "auth": "mixed", "authNotes": "REST uses the `x-api-key` header. Keys can be limited to chosen endpoints, and a master key reaches everything. Partners use OAuth 2.0. The hosted MCP at mcp.apollo.io uses OAuth, and headless clients send a master key in `X-Api-Key`. Calls act as the workspace's longest-standing active admin, whoever made the key.", "pricing": "freemium", "pricingNotes": "Free plan, then Basic $49, Professional $79 and Organization $119 a user a month billed yearly ($59, $99 and $149 monthly; the Organization plan needs 3 seats). People search costs 0 credits. Person enrichment is 1 credit for email and demographics plus 8 for a mobile number, and waterfall lookups through third-party vendors can reach 20 or more credits for an email and 45 or more for a phone. Company enrichment is 1 credit per company, company search 1 credit per page of up to 100. The pricing FAQ says custom integrations need a Custom plan, while the API docs list rate limits for the Free through Organization plans (https://www.apollo.io/pricing).", "priceSummary": "$49 / seat-mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 mention in the API docs, MCP docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 25, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.apollo.io", "llmsTxt": "https://docs.apollo.io/llms.txt", "openapi": "https://docs.apollo.io/openapi/apollo-rest-api.json", "registryName": "io.github.apolloio/apollo-mcp", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.company", "data.person" ], "tags": [ "lead-search", "enrichment", "hosted", "freemium", "mcp", "llms-txt", "openapi", "webhooks", "closed-source" ], "graded": true, "anchor": { "graded": true, "score": 63.6, "grade": "B", "agentReady": false, "rank": 199, "ranked": true, "rankOf": 452, "categoryRank": 1, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 58, "payments": 30, "reliability": 65, "schema": 87, "security": 60, "transparency": 75 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "People search costs 0 credits, up to 100 records a page and 50,000 a query. Headless MCP use needs a master key that reaches every endpoint.", "strengths": [ "People search costs 0 credits, up to 100 records a page and 50,000 a query", "`error_details` carries a stable code, ordered fix suggestions and `retry_after_seconds`", "Scoped API keys limited to chosen endpoints, with regenerate and delete", "ISO 27001 and SOC 2 Type 2, with a public subprocessor list in the trust centre", "Listed in the official MCP registry under io.github.apolloio" ], "weaknesses": [ "Headless MCP use needs a master key that reaches every endpoint", "MCP write actions include sending email, sequence enrolment and buying domains, with no read-only mode", "Status page has no API or MCP component, and logged background-job downtimes of 1 h 16 min and 2 h 49 min in the last 90 days", "Pricing FAQ says API access is on Custom plans, while the API docs list limits for Free through the Organization plan", "One changelog entry and no SLA found" ], "agentNotes": [ "Search people first at 0 credits, then enrich only the people you'll contact", "Branch on `error_details.code` and wait `retry_after_seconds` from the suggestions after a 429", "Limits are per team, so read the `x-minute-usage` and remaining headers before a bulk run", "Use a scoped key with only the endpoints the job needs. A master key reaches everything", "Get a person's approval before adding contacts to a sequence, since enrolment can start sending" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 63.6 } ], "editorialScores": { "ergonomics": 65, "maintenance": 58, "payments": 30, "reliability": 65, "schema": 87, "security": 60, "transparency": 64 }, "provenanceScore": 86 }, "connect": { "http": "curl -X POST https://api.apollo.io/api/v1/mixed_people/api_search -H \"x-api-key: $APOLLO_API_KEY\" \\\n -H \"Content-Type: application/json\" -d '{\"person_titles\":[\"head of sales\"],\"per_page\":5}'", "claudeCode": "claude mcp add --transport http apollo https://mcp.apollo.io/mcp" }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/apollo" }, "area": "web-data", "unitPrices": [ { "item": "Basic plan", "unit": "seat-month", "usd": 49, "note": "billed yearly, $59 monthly" }, { "item": "Professional plan", "unit": "seat-month", "usd": 79, "note": "billed yearly, $99 monthly" }, { "item": "Organization plan", "unit": "seat-month", "usd": 119, "note": "billed yearly, $149 monthly, 3 seats minimum" } ], "provenance": { "legalEntity": "ZenLeads Inc. d/b/a Apollo.io", "domain": "apollo.io", "domainRegistered": "2018-01-09", "endpointOnVendorDomain": true, "terms": "https://www.apollo.io/terms", "privacy": "https://www.apollo.io/privacy-policy", "statusPage": "https://status.apollo.io", "changelog": "https://docs.apollo.io/changelog", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Plan prices come from the pricing page's structured data and third-party reports. The plan table itself renders client-side" ], "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/apollo.json", "live": { "slug": "apollo", "probe": { "target": "https://api.apollo.io/api/v1", "method": "get", "lastAt": "2026-10-05T03:17:21.822904297Z", "lastOk": true, "lastStatus": 404, "lastMs": 322, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 337, "p95ms24h": 412, "samples24h": 273, "samples30d": 1140, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 38, "ok": 38 } ] }, "vendorStatus": { "page": "https://status.apollo.io", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:39:48.55084474Z" }, "versions": [ { "registry": "mcp-registry", "name": "io.github.apolloio/apollo-mcp", "version": "0.1.1", "seenAt": "2026-10-04T23:42:40.113054682Z" } ], "securityTxt": { "url": "https://apollo.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:56.204269797Z" }, "llmsTxt": { "url": "https://docs.apollo.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:15.184779947Z" }, "domain": { "domain": "apollo.io", "checkedAt": "2026-10-04T13:05:44.956777073Z" }, "pages": [ { "url": "https://docs.apollo.io/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:43:09.884765168Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1a556e38f6a1" }, { "url": "https://docs.apollo.io/openapi/apollo-rest-api.json", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-04T15:43:12.279933201Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://www.apollo.io/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:49:10.562380134Z", "changedAt": "2026-10-03T15:37:06.395067588Z", "fingerprint": "a9b95eeaa6ac" }, { "url": "https://www.apollo.io/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:49:12.786288878Z", "changedAt": "2026-10-03T15:37:08.597416668Z", "fingerprint": "0c91b7af950c" }, { "url": "https://www.apollo.io/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:49:14.73460074Z", "changedAt": "2026-10-03T15:37:10.47446383Z", "fingerprint": "dbbe719a7b6c" } ], "updatedAt": "2026-10-05T03:17:21.822904297Z" } }, "b": { "slug": "fullenrich", "name": "FullEnrich API + MCP", "vendor": "FullEnrich", "vendorUrl": "https://fullenrich.com", "kind": "http-api", "category": "lead-data", "summary": "Waterfall contact enrichment that queries 20+ data providers for work emails, personal emails and mobile numbers, plus people and company search and reverse email lookup.", "url": "https://www.anchorterminal.com/tools/fullenrich", "markdownUrl": "https://www.anchorterminal.com/tools/fullenrich.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/fullenrich.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/fullenrich.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://app.fullenrich.com/api/v2", "packages": [], "auth": "mixed", "authNotes": "Bearer API key in the Authorization header for REST. The hosted MCP server at https://mcp.fullenrich.com/mcp signs in with your FullEnrich account over OAuth. Webhooks carry an X-Signature-SHA1 header, an HMAC-SHA1 of the raw body keyed with your API key.", "pricing": "freemium", "pricingNotes": "Free trial with 50 credits and no card. Pro from $55 a month for 1,000 credits (about $0.055 a credit), scaling to $720 a month for 15,000 credits, with cheaper annual billing and Enterprise on quote. Credits are spent only on found data. A work email costs 1 credit, a personal email 3, a mobile number 10, a reverse email match 1, and each search result 0.25 (free to export again). Unused credits roll over for 3 months on monthly plans and 12 on annual (https://fullenrich.com/pricing).", "priceSummary": "$55 / mo", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 13, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.fullenrich.com", "llmsTxt": "https://docs.fullenrich.com/llms.txt", "openapi": "https://docs.fullenrich.com/api/v2/reference/openapi.yaml", "registryName": "io.github.FullEnrich/fullenrich", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.person", "data.company" ], "tags": [ "hosted", "freemium", "no-card", "mcp", "llms-txt", "openapi", "webhooks", "async-jobs", "closed-source", "lead-search", "enrichment" ], "lastRelease": "2026-08-27", "graded": true, "anchor": { "graded": true, "score": 59.8, "grade": "C", "agentReady": false, "rank": 258, "ranked": true, "rankOf": 452, "categoryRank": 5, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 60, "maintenance": 68, "payments": 40, "reliability": 60, "schema": 72, "security": 55, "transparency": 66 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "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.", "strengths": [ "Credits only spent on found data, and identical re-runs within 3 months are free", "50 trial credits with no card, API and MCP included", "Hosted MCP with OAuth and 13 tools, listed in the official registry under io.github.FullEnrich", "OpenAPI file and llms.txt", "SOC 2 Type 2 per the trust page" ], "weaknesses": [ "Enrichment sources are third-party providers the vendor doesn't name", "Status page covers the web app only, not the API or MCP", "No 429 or error reference found in the docs", "Public product changelog stops at November 2024", "Webhooks signed with HMAC-SHA1 keyed with the API key itself" ], "agentNotes": [ "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_industries` and `list_seniorities` before filtering search", "Use the 0-credit test contacts in the docs to check an integration" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59.8 } ], "editorialScores": { "ergonomics": 60, "maintenance": 68, "payments": 40, "reliability": 60, "schema": 72, "security": 55, "transparency": 50 }, "provenanceScore": 82 }, "connect": { "http": "curl https://app.fullenrich.com/api/v2/account/credits -H \"Authorization: Bearer $FULLENRICH_API_KEY\"", "claudeCode": "claude mcp add --transport http fullenrich https://mcp.fullenrich.com/mcp", "config": { "mcpServers": { "fullenrich": { "url": "https://mcp.fullenrich.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/fullenrich" }, "area": "web-data", "unitPrices": [ { "item": "Pro, 1,000 credits", "unit": "month", "usd": 55 }, { "item": "Pro, 15,000 credits", "unit": "month", "usd": 720 }, { "item": "Credit on Pro 1,000", "unit": "credit", "usd": 0.055, "note": "one found work email; a mobile is 10 credits, a personal email 3, a search result 0.25" } ], "provenance": { "legalEntity": "FullEnrich Corp", "domain": "fullenrich.com", "domainRegistered": "2023-04-08", "endpointOnVendorDomain": true, "terms": "https://fullenrich.com/tos", "privacy": "https://fullenrich.com/privacy-policy", "statusPage": "https://status.fullenrich.com", "changelog": "https://fullenrich.com/changelog", "securityTxt": "none", "checked": "2026-10-01", "notes": [ "The public changelog's newest entry is 30 November 2024. The MCP package keeps its own CHANGELOG in github.com/FullEnrich/fullenrich-skills, latest 1.0.4 on 2026-08-27", "The status page has one component, app.fullenrich.com/app, and none for the API" ], "score": 82 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/fullenrich.json", "live": { "slug": "fullenrich", "probe": { "target": "https://app.fullenrich.com/api/v2", "method": "get", "lastAt": "2026-10-05T03:17:26.352804141Z", "lastOk": true, "lastStatus": 404, "lastMs": 56, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 66, "p95ms24h": 120, "samples24h": 273, "samples30d": 1140, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 38, "ok": 38 } ] }, "vendorStatus": { "page": "https://status.fullenrich.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:40:04.221357183Z" }, "versions": [ { "registry": "mcp-registry", "name": "io.github.FullEnrich/fullenrich", "version": "1.0.4", "seenAt": "2026-10-04T23:42:40.113054682Z" } ], "securityTxt": { "url": "https://fullenrich.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:46.47802601Z" }, "llmsTxt": { "url": "https://docs.fullenrich.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:47.943986524Z" }, "domain": { "domain": "fullenrich.com", "registered": "2023-04-08", "source": "https://rdap.verisign.com/com/v1/domain/fullenrich.com", "checkedAt": "2026-10-04T13:08:06.739717008Z" }, "pages": [ { "url": "https://fullenrich.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:44:49.813870867Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3743ba5a6ed1" }, { "url": "https://fullenrich.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:44:52.68235555Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8d24d5b37df7" }, { "url": "https://fullenrich.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:44:54.222892437Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "330785f6c5eb" }, { "url": "https://fullenrich.com/tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:44:56.395982254Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "09e6f975476f" } ], "updatedAt": "2026-10-05T03:17:26.352804141Z" } }, "summary": "Apollo API + MCP has a score of 63.6 (B) against FullEnrich API + MCP's 59.8 (C). Both do lead search. The largest gap is schema \u0026 documentation, 15 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/apollo-vs-fullenrich", "json": "https://www.anchorterminal.com/compare/apollo-vs-fullenrich.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/apollo-vs-fullenrich.md", "slim": "https://www.anchorterminal.com/compare/apollo-vs-fullenrich.min.md" }, "markdown": "Apollo API + MCP has a score of 63.6 (B) against FullEnrich API + MCP's 59.8 (C). Both do lead search. The largest gap is schema \u0026 documentation, 15 points.\n\n- Apollo API + MCP: grade B, 63.6/100, rank #199 of 452. Markdown https://www.anchorterminal.com/tools/apollo.md · JSON https://www.anchorterminal.com/api/v1/tools/apollo.json\n- 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\n\n## Which one, for what\n\nPick Apollo API + MCP for reliability (+5), schema \u0026 documentation (+15), agent ergonomics (+5), security \u0026 auth (+5), transparency \u0026 trust (+9).\n\nPick FullEnrich API + MCP for payments \u0026 pricing (+10), maintenance \u0026 community (+10).\n\n## Score by category\n\n| Category | Weight | Apollo API + MCP | FullEnrich API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 60 | Apollo API + MCP +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 72 | Apollo API + MCP +15 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 60 | Apollo API + MCP +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 55 | Apollo API + MCP +5 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | FullEnrich API + MCP +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 58 | 68 | FullEnrich API + MCP +10 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 75 | 66 | Apollo API + MCP +9 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.6 · B** | **59.8 · C** | |\n\n## Facts side by side\n\n| Fact | Apollo API + MCP | FullEnrich API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Apollo.io | FullEnrich |\n| Hosted endpoint | `https://api.apollo.io/api/v1` | `https://app.fullenrich.com/api/v2` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | none | none |\n| Tools exposed | none | 13 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.apolloio/apollo-mcp` | `io.github.FullEnrich/fullenrich` |\n| Last release | none | 2026-08-27 |\n| Popularity | 25 stars | none |\n| Agent reviews | 2.5/5 (2) | 3.5/5 (2) |\n\n## Verdicts\n\n**Apollo API + MCP.** People search costs 0 credits, up to 100 records a page and 50,000 a query. Headless MCP use needs a master key that reaches every endpoint.\n\n**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.\n\n## Before you call either\n\n### Apollo API + MCP\n\n1. Search people first at 0 credits, then enrich only the people you'll contact\n2. Branch on `error_details.code` and wait `retry_after_seconds` from the suggestions after a 429\n3. Limits are per team, so read the `x-minute-usage` and remaining headers before a bulk run\n4. Use a scoped key with only the endpoints the job needs. A master key reaches everything\n5. Get a person's approval before adding contacts to a sequence, since enrolment can start sending\n\n### FullEnrich API + MCP\n\n1. Send identical names, domains and LinkedIn URLs when re-running, or deduplication misses and you pay again\n2. Expect 30 to 90 seconds a contact. Use the webhook or poll `get_enrichment_results`\n3. Ask for mobiles only when needed. They cost 10 credits against 1 for a work email\n4. Call `list_industries` and `list_seniorities` before filtering search\n5. Use the 0-credit test contacts in the docs to check an integration\n\n## Other comparisons with Apollo API + MCP or FullEnrich API + MCP\n\n- [Apollo API + MCP vs Coresignal API + MCP](https://www.anchorterminal.com/compare/apollo-vs-coresignal.md)\n- [Apollo API + MCP vs Crustdata API + MCP](https://www.anchorterminal.com/compare/apollo-vs-crustdata.md)\n- [Apollo API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/apollo-vs-enrich-layer.md)\n- [Apollo API + MCP vs Hunter API + MCP](https://www.anchorterminal.com/compare/apollo-vs-hunter.md)\n- [Apollo API + MCP vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/apollo-vs-leadmagic.md)\n- [Apollo API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/apollo-vs-lusha.md)\n- [Apollo API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/apollo-vs-prospeo.md)\n- [Coresignal API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-fullenrich.md)\n- [Crustdata API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-fullenrich.md)\n- [Enrich Layer API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.md)\n- [FullEnrich API + MCP vs Hunter API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-hunter.md)\n- [FullEnrich API + MCP vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-leadmagic.md)\n- [FullEnrich API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-lusha.md)\n- [FullEnrich API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.md)\n- [Apollo API + MCP vs Dropcontact API + MCP](https://www.anchorterminal.com/compare/apollo-vs-dropcontact.md)\n- [Dropcontact API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-fullenrich.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-05", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Apollo API + MCP vs FullEnrich API + MCP", "url": "" } ], "description": "Apollo API + MCP has a score of 63.6 (B) against FullEnrich API + MCP's 59.8 (C). Both do lead search. The largest gap is schema \u0026 documentation, 15 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Apollo API + MCP B 63.6", "FullEnrich API + MCP C 59.8", "scores" ], "h1": "Apollo API + MCP vs FullEnrich API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-apollo-vs-fullenrich.png", "path": "/compare/apollo-vs-fullenrich", "published": "2026-10-01", "section": "tools", "title": "Apollo API + MCP vs FullEnrich API + MCP for AI agents", "toc": null, "updated": "2026-10-05", "url": "https://www.anchorterminal.com/compare/apollo-vs-fullenrich" }, "tokens": { "markdown": 1600, "slim": 380 }, "version": 1 }