{ "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": 63.3, "grade": "B", "agentReady": false, "rank": 282, "ranked": true, "rankOf": 629, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 58, "payments": 30, "reliability": 65, "schema": 87, "security": 60, "transparency": 72 }, "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.", "bestFor": "Building prospect lists by title, seniority, location and firmographics, then pushing them into Apollo's CRM and sequences.", "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": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 63.3 } ], "editorialScores": { "ergonomics": 65, "maintenance": 58, "payments": 30, "reliability": 65, "schema": 87, "security": 60, "transparency": 64 }, "provenanceScore": 79 }, "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": 79 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/apollo.json", "live": { "slug": "apollo", "probe": { "target": "https://api.apollo.io/api/v1", "method": "get", "lastAt": "2026-10-08T18:20:24.641404498Z", "lastOk": true, "lastStatus": 404, "lastMs": 344, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 356, "p95ms24h": 458, "samples24h": 272, "samples30d": 2126, "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": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 208, "ok": 208 } ] }, "vendorStatus": { "page": "https://status.apollo.io", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-08T17:50:22.089428113Z" }, "versions": [ { "registry": "mcp-registry", "name": "io.github.apolloio/apollo-mcp", "version": "0.1.1", "seenAt": "2026-10-08T02:42:52.272076636Z" } ], "securityTxt": { "url": "https://apollo.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:39:10.427657786Z" }, "llmsTxt": { "url": "https://docs.apollo.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:02.801406403Z" }, "domain": { "domain": "apollo.io", "checkedAt": "2026-10-04T13:05:44.956777073Z" }, "pages": [ { "url": "https://docs.apollo.io/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:18:13.084771651Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1a556e38f6a1" }, { "url": "https://docs.apollo.io/openapi/apollo-rest-api.json", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-08T18:18:15.477745664Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://www.apollo.io/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-07T18:10:45.799004359Z", "changedAt": "2026-10-05T16:01:28.412667262Z", "fingerprint": "6468fcce8923" }, { "url": "https://www.apollo.io/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-07T18:10:47.916330664Z", "changedAt": "2026-10-03T15:37:08.597416668Z", "fingerprint": "0c91b7af950c" }, { "url": "https://www.apollo.io/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-07T18:10:49.882055492Z", "changedAt": "2026-10-03T15:37:10.47446383Z", "fingerprint": "dbbe719a7b6c" } ], "updatedAt": "2026-10-08T18:20:24.641404498Z" } }, "answer": "Apollo API + MCP scores 63.3 (B) on agent readiness against Gojiberry's 47.9 (D), and leads in 6 of 7 scored categories. Gojiberry leads on reliability.", "b": { "slug": "gojiberry", "name": "Gojiberry", "vendor": "SUPERFRUITS SAS (Gojiberry AI)", "vendorUrl": "https://gojiberry.ai", "kind": "http-api", "category": "lead-data", "summary": "Gojiberry is a hosted sales tool from SUPERFRUITS SAS in Paris that finds B2B leads from LinkedIn engagement and other intent signals, then runs LinkedIn and email outreach. Agents reach it through a REST API and a hosted MCP server.", "url": "https://www.anchorterminal.com/tools/gojiberry", "markdownUrl": "https://www.anchorterminal.com/tools/gojiberry.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gojiberry.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gojiberry.json", "license": "Proprietary service under Gojiberry's General Terms", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://ext.gojiberry.ai", "packages": [], "auth": "mixed", "authNotes": "Bearer API key in the `Authorization` header for both the REST API at https://ext.gojiberry.ai and the MCP server at https://mcp.gojiberry.ai. A person creates the key in the app under Settings, API, and it is shown once. Keys have no scopes. A key that belongs to an organisation owner can act as any member by adding `x-impersonate-user-id`. The MCP server also answers OAuth discovery (authorisation code grant with PKCE, a registration endpoint, scopes `mcp:tools` and `claudeai`), which the help centre doesn't document.", "pricing": "paid", "pricingNotes": "Pro is $99 a month and includes 2 agents, 2 LinkedIn seats, 200 credits a month and API and MCP access. A further outreach agent is $59 a month and a further lead source $29. Custom plans go through sales. A free trial exists, and the help centre says the subscription starts on the saved payment method when it ends. We didn't find the trial length or a dollar price for credit packs (checked 2026-10-08).", "priceSummary": "$99 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the OpenAPI file, the help centre or the pricing section (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://ext.gojiberry.ai/documentation", "openapi": "https://ext.gojiberry.ai/openapi.json", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.company" ], "tags": [ "hosted", "paid", "mcp", "openapi", "api-key", "webhooks", "linkedin", "outreach", "intent-signals", "closed-source", "status-page", "eu-hosted" ], "graded": true, "anchor": { "graded": true, "score": 47.9, "grade": "D", "agentReady": false, "rank": 544, "ranked": true, "rankOf": 629, "categoryRank": 12, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 55, "maintenance": 25, "payments": 10, "reliability": 74, "schema": 61, "security": 32, "transparency": 59 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "A public OpenAPI file with 49 operations, a free masked lead search and a published limit of 100 requests a minute make the API easy to plan against. Keys have no scopes, writes can start LinkedIn outreach from a connected account, and LinkedIn's User Agreement bars the scraping and automated messaging the product depends on.", "bestFor": "A founder or small sales team that wants an agent to pull scored, signal-based B2B leads and run LinkedIn and email outreach from one paid workspace.", "strengths": [ "Public OpenAPI 3.0 file with 49 operations at ext.gojiberry.ai/openapi.json, readable without an account", "Lead and company search is free and returns masked rows. Revealing a full record costs 0.5 credit", "Failed email and phone enrichments consume no credit, and async enrichment routes return at once for polling", "Rate limit published at 100 requests a minute per API key, with 10 a minute on campaign activation and attachment download", "Sub-processor list names nine vendors with processing locations, and primary hosting is AWS eu-west-3 in Paris" ], "weaknesses": [ "API keys carry no scopes or read-only mode, and an organisation owner's key can act as any member through `x-impersonate-user-id`", "LinkedIn's User Agreement (section 8.2) bars scraping profiles and using bots to send messages. Gojiberry's terms leave compliance and account restrictions to the customer", "No changelog, deprecation policy, SLA, security.txt, disclosure policy or certification was found", "Not in the official MCP registry, no official SDKs, and the MCP tool definitions can't be read without a paid account's key", "The trial converts to $99 a month on a saved payment method, and the terms forbid account creation by bots" ], "agentNotes": [ "Send `Authorization: Bearer \u003ckey\u003e` to https://mcp.gojiberry.ai. The value must start with the word Bearer or the connection fails", "Create resources in the order list, source agent, campaign. A source agent with no campaign only finds leads", "Adding a contact to a list enrols it in the linked campaign, which sends LinkedIn or email messages. Ask the user before list writes", "Search with POST /v1/directory/leads/search for free, then reveal only the ids you need at 0.5 credit each, up to 100 a request", "Use the `/enrich/email/async` and `/enrich/phone/async` routes and poll GET /v1/contact/{id}. The synchronous routes can take minutes" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 47.9 } ], "editorialScores": { "ergonomics": 55, "maintenance": 25, "payments": 10, "reliability": 74, "schema": 61, "security": 32, "transparency": 55 }, "provenanceScore": 62 }, "connect": { "http": "curl -H \"Authorization: Bearer YOUR_API_KEY\" https://ext.gojiberry.ai/v1/contact", "claudeCode": "claude mcp add --transport http --header \"Authorization: Bearer YOUR_API_KEY\" Gojiberry https://mcp.gojiberry.ai" }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/gojiberry" }, "area": "web-data", "unitPrices": [ { "item": "Pro, 2 agents, 2 LinkedIn seats, 200 credits", "unit": "month", "usd": 99 }, { "item": "Additional AI Outreach Agent", "unit": "month", "usd": 59 }, { "item": "Additional lead source", "unit": "month", "usd": 29 } ], "provenance": { "legalEntity": "SUPERFRUITS SAS", "domain": "gojiberry.ai", "domainRegistered": "2025-02-21", "endpointOnVendorDomain": true, "terms": "https://gojiberry.ai/general-terms", "privacy": "https://gojiberry.ai/privacy-policy", "statusPage": "https://status.gojiberry.ai", "changelog": "", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The General Terms (last updated 14 October 2025) and the legal notice name SUPERFRUITS, a French SAS at 60 rue François 1er, 75008 Paris, company number 988 586 111 R.C.S. Paris.", "RDAP for gojiberry.ai gives a registration date of 2025-02-21.", "gojiberry.ai/.well-known/security.txt and mcp.gojiberry.ai/.well-known/security.txt return 404. app.gojiberry.ai answers that path with the web app's HTML.", "gojiberry.ai/changelog returns 404, and we found no changelog in the help centre or the site map.", "The REST API answers at ext.gojiberry.ai and the MCP server at mcp.gojiberry.ai, both gojiberry.ai subdomains." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gojiberry.json", "live": { "slug": "gojiberry", "probe": { "target": "https://ext.gojiberry.ai", "method": "get", "lastAt": "2026-10-08T18:20:30.756257161Z", "lastOk": true, "lastStatus": 200, "lastMs": 42, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 62, "p95ms24h": 122, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-08", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.gojiberry.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-08T17:50:43.146351153Z" }, "securityTxt": { "url": "https://gojiberry.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:44.042788264Z" }, "pages": [ { "url": "https://gojiberry.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:20:43.252320769Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "b089c78ab523" }, { "url": "https://gojiberry.ai/general-terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:20:41.164006243Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c6c92530ec29" } ], "updatedAt": "2026-10-08T18:20:30.756257161Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Apollo.io", "b": "SUPERFRUITS SAS (Gojiberry AI)", "name": "Vendor" }, { "a": "https://api.apollo.io/api/v1", "b": "https://ext.gojiberry.ai", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "none", "b": "Proprietary service under Gojiberry's General Terms", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "io.github.apolloio/apollo-mcp", "b": "not listed", "name": "MCP registry" }, { "a": "2026-08-10", "b": "no date given", "name": "Terms last updated" }, { "a": "2026-08-10", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "yes", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "25 stars", "b": "none", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Apollo API + MCP scores 63.3 (B) on agent readiness against Gojiberry's 47.9 (D), and leads in 6 of 7 scored categories. Gojiberry leads on reliability.", "question": "Which is better for AI agents, Apollo API + MCP or Gojiberry?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Apollo API + MCP and Gojiberry need an API key?" }, { "answer": "Yes. Apollo API + MCP has a hosted endpoint at https://api.apollo.io/api/v1 and Gojiberry at https://ext.gojiberry.ai.", "question": "Can an agent call Apollo API + MCP and Gojiberry without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 87 against 61", "Agent ergonomics, 65 against 55", "Security \u0026 auth, 60 against 32", "Payments \u0026 pricing, 30 against 10", "Maintenance \u0026 community, 58 against 25", "Transparency \u0026 trust, 72 against 59" ], "also": null, "goodFor": "Building prospect lists by title, seniority, location and firmographics, then pushing them into Apollo's CRM and sequences.", "slug": "apollo", "watchFor": "Headless MCP use needs a master key that reaches every endpoint" }, { "aheadOn": [ "Reliability, 74 against 65" ], "also": null, "goodFor": "A founder or small sales team that wants an agent to pull scored, signal-based B2B leads and run LinkedIn and email outreach from one paid workspace.", "slug": "gojiberry", "watchFor": "API keys carry no scopes or read-only mode, and an organisation owner's key can act as any member through `x-impersonate-user-id`" } ], "job": { "capability": "lead.search", "name": "Lead search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/apollo-vs-coresignal.json", "title": "Apollo API + MCP vs Coresignal API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-coresignal" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-crustdata.json", "title": "Apollo API + MCP vs Crustdata API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-crustdata" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-enrich-layer.json", "title": "Apollo API + MCP vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-fullenrich.json", "title": "Apollo API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-fullenrich" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-fuse-mcp.json", "title": "Apollo API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-hunter.json", "title": "Apollo API + MCP vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-leadmagic.json", "title": "Apollo API + MCP vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-lusha.json", "title": "Apollo API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-prospeo.json", "title": "Apollo API + MCP vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/coresignal-vs-gojiberry.json", "title": "Coresignal API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/coresignal-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/crustdata-vs-gojiberry.json", "title": "Crustdata API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/crustdata-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.json", "title": "Enrich Layer API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.json", "title": "FullEnrich API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-gojiberry.json", "title": "Fuse MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-hunter.json", "title": "Gojiberry vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-leadmagic.json", "title": "Gojiberry vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-lusha.json", "title": "Gojiberry vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-prospeo.json", "title": "Gojiberry vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-dropcontact.json", "title": "Apollo API + MCP vs Dropcontact API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-dropcontact" }, { "json": "https://www.anchorterminal.com/compare/dropcontact-vs-gojiberry.json", "title": "Dropcontact API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-gojiberry" } ], "scores": [ { "apollo": 65, "by": 9, "edge": "gojiberry", "gojiberry": 74, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "apollo": 87, "by": 26, "edge": "apollo", "gojiberry": 61, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "apollo": 65, "by": 10, "edge": "apollo", "gojiberry": 55, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "apollo": 60, "by": 28, "edge": "apollo", "gojiberry": 32, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "apollo": 30, "by": 20, "edge": "apollo", "gojiberry": 10, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "apollo": 58, "by": 33, "edge": "apollo", "gojiberry": 25, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "apollo": 72, "by": 13, "edge": "apollo", "gojiberry": 59, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Apollo API + MCP scores 63.3 (B) on agent readiness against Gojiberry's 47.9 (D), and leads in 6 of 7 scored categories. Gojiberry leads on reliability. Both do lead search.", "verdicts": { "apollo": "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.", "gojiberry": "A public OpenAPI file with 49 operations, a free masked lead search and a published limit of 100 requests a minute make the API easy to plan against. Keys have no scopes, writes can start LinkedIn outreach from a connected account, and LinkedIn's User Agreement bars the scraping and automated messaging the product depends on." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/apollo-vs-gojiberry", "json": "https://www.anchorterminal.com/compare/apollo-vs-gojiberry.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/apollo-vs-gojiberry.md", "slim": "https://www.anchorterminal.com/compare/apollo-vs-gojiberry.min.md" }, "markdown": "Apollo API + MCP scores 63.3 (B) on agent readiness against Gojiberry's 47.9 (D), and leads in 6 of 7 scored categories. Gojiberry leads on reliability. Both do lead search.\n\n- Apollo API + MCP: grade B, 63.3/100, rank #282 of 629. Markdown https://www.anchorterminal.com/tools/apollo.md · JSON https://www.anchorterminal.com/api/v1/tools/apollo.json\n- Gojiberry: grade D, 47.9/100, rank #544 of 629. Markdown https://www.anchorterminal.com/tools/gojiberry.md · JSON https://www.anchorterminal.com/api/v1/tools/gojiberry.json\n\n## Which one, for what\n\n### Apollo API + MCP (B)\n\nGood for: Building prospect lists by title, seniority, location and firmographics, then pushing them into Apollo's CRM and sequences.\n\nAhead on:\n- Schema \u0026 documentation, 87 against 61\n- Agent ergonomics, 65 against 55\n- Security \u0026 auth, 60 against 32\n- Payments \u0026 pricing, 30 against 10\n- Maintenance \u0026 community, 58 against 25\n- Transparency \u0026 trust, 72 against 59\n\nWatch for: Headless MCP use needs a master key that reaches every endpoint\n\n### Gojiberry (D)\n\nGood for: A founder or small sales team that wants an agent to pull scored, signal-based B2B leads and run LinkedIn and email outreach from one paid workspace.\n\nAhead on:\n- Reliability, 74 against 65\n\nWatch for: API keys carry no scopes or read-only mode, and an organisation owner's key can act as any member through `x-impersonate-user-id`\n\n\n## Score by category\n\n| Category | Weight | Apollo API + MCP | Gojiberry | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 74 | Gojiberry +9 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 61 | Apollo API + MCP +26 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 55 | Apollo API + MCP +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 32 | Apollo API + MCP +28 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 10 | Apollo API + MCP +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 58 | 25 | Apollo API + MCP +33 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 59 | Apollo API + MCP +13 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.3 · B** | **47.9 · D** | |\n\n## Facts side by side\n\n| Fact | Apollo API + MCP | Gojiberry |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Apollo.io | SUPERFRUITS SAS (Gojiberry AI) |\n| Hosted endpoint | `https://api.apollo.io/api/v1` | `https://ext.gojiberry.ai` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Paid |\n| x402 | no | no |\n| Licence | none | Proprietary service under Gojiberry's General Terms |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| MCP registry | `io.github.apolloio/apollo-mcp` | not listed |\n| Terms last updated | 2026-08-10 | no date given |\n| Privacy policy last updated | 2026-08-10 | no date given |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | yes | not found in the text |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 25 stars | none |\n| Agent reviews | 2.5/5 (2) | none |\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**Gojiberry.** A public OpenAPI file with 49 operations, a free masked lead search and a published limit of 100 requests a minute make the API easy to plan against. Keys have no scopes, writes can start LinkedIn outreach from a connected account, and LinkedIn's User Agreement bars the scraping and automated messaging the product depends on.\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### Gojiberry\n\n1. Send `Authorization: Bearer \u003ckey\u003e` to https://mcp.gojiberry.ai. The value must start with the word Bearer or the connection fails\n2. Create resources in the order list, source agent, campaign. A source agent with no campaign only finds leads\n3. Adding a contact to a list enrols it in the linked campaign, which sends LinkedIn or email messages. Ask the user before list writes\n4. Search with POST /v1/directory/leads/search for free, then reveal only the ids you need at 0.5 credit each, up to 100 a request\n5. Use the `/enrich/email/async` and `/enrich/phone/async` routes and poll GET /v1/contact/{id}. The synchronous routes can take minutes\n\n## Questions\n\n### Which is better for AI agents, Apollo API + MCP or Gojiberry?\n\nApollo API + MCP scores 63.3 (B) on agent readiness against Gojiberry's 47.9 (D), and leads in 6 of 7 scored categories. Gojiberry leads on reliability.\n\n### Do Apollo API + MCP and Gojiberry need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Apollo API + MCP and Gojiberry without installing anything?\n\nYes. Apollo API + MCP has a hosted endpoint at https://api.apollo.io/api/v1 and Gojiberry at https://ext.gojiberry.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/apollo-vs-gojiberry.json, and with the fewest tokens: https://www.anchorterminal.com/compare/apollo-vs-gojiberry.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"apollo\", \"b\": \"gojiberry\"}`. From a terminal: `anchor compare apollo gojiberry`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/apollo.json and https://www.anchorterminal.com/api/v1/tools/gojiberry.json\n\n## Other comparisons with Apollo API + MCP or Gojiberry\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 FullEnrich API + MCP](https://www.anchorterminal.com/compare/apollo-vs-fullenrich.md)\n- [Apollo API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/apollo-vs-fuse-mcp.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 Gojiberry](https://www.anchorterminal.com/compare/coresignal-vs-gojiberry.md)\n- [Crustdata API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/crustdata-vs-gojiberry.md)\n- [Enrich Layer API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.md)\n- [FullEnrich API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.md)\n- [Fuse MCP vs Gojiberry](https://www.anchorterminal.com/compare/fuse-mcp-vs-gojiberry.md)\n- [Gojiberry vs Hunter API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-hunter.md)\n- [Gojiberry vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-leadmagic.md)\n- [Gojiberry vs Lusha API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-lusha.md)\n- [Gojiberry vs Prospeo API + MCP](https://www.anchorterminal.com/compare/gojiberry-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 Gojiberry](https://www.anchorterminal.com/compare/dropcontact-vs-gojiberry.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "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 Gojiberry", "url": "" } ], "description": "Apollo API + MCP scores 63.3 (B) on agent readiness against Gojiberry's 47.9 (D), and leads in 6 of 7 scored categories. Gojiberry leads on reliability. Both do lead search. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Apollo API + MCP B 63.3", "Gojiberry D 47.9", "scores" ], "h1": "Apollo API + MCP vs Gojiberry", "image": "https://www.anchorterminal.com/assets/og/compare-apollo-vs-gojiberry.png", "path": "/compare/apollo-vs-gojiberry", "published": "2026-10-01", "section": "tools", "title": "Apollo API + MCP vs Gojiberry for AI agents, B 63.3 vs D 47.9", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/apollo-vs-gojiberry" }, "tokens": { "markdown": 2250, "slim": 680 }, "version": 1 }