{ "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": 398, "ranked": true, "rankOf": 950, "categoryRank": 3, "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": "2026-10-10T01:37:42.950361324Z", "lastOk": true, "lastStatus": 404, "lastMs": 320, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 344, "p95ms24h": 424, "samples24h": 250, "samples30d": 2453, "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": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 17, "ok": 17 } ] }, "vendorStatus": { "page": "https://status.apollo.io", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:06.051751173Z" }, "versions": [ { "registry": "mcp-registry", "name": "io.github.apolloio/apollo-mcp", "version": "0.1.1", "seenAt": "2026-10-09T02:57:46.004536428Z" } ], "securityTxt": { "url": "https://apollo.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:39:44.171372897Z" }, "llmsTxt": { "url": "https://docs.apollo.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:01:26.245837213Z" }, "domain": { "domain": "apollo.io", "checkedAt": "2026-10-04T13:05:44.956777073Z" }, "pages": [ { "url": "https://docs.apollo.io/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:36:31.962402071Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1a556e38f6a1" }, { "url": "https://docs.apollo.io/openapi/apollo-rest-api.json", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-09T18:36:34.326529079Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://www.apollo.io/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:48:08.142920241Z", "changedAt": "2026-10-05T16:01:28.412667262Z", "fingerprint": "6468fcce8923" }, { "url": "https://www.apollo.io/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:48:10.31121045Z", "changedAt": "2026-10-03T15:37:08.597416668Z", "fingerprint": "0c91b7af950c" }, { "url": "https://www.apollo.io/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:48:12.301931154Z", "changedAt": "2026-10-03T15:37:10.47446383Z", "fingerprint": "dbbe719a7b6c" } ], "updatedAt": "2026-10-10T01:37:42.950361324Z" } }, "answer": "Apollo API + MCP scores 63.3 (B) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 6 of 7 scored categories. Explorium AgentSource leads on payments \u0026 pricing.", "b": { "slug": "explorium-agentsource", "name": "Explorium AgentSource", "vendor": "Explorium Ltd.", "vendorUrl": "https://www.explorium.ai", "kind": "http-api", "category": "lead-data", "summary": "Explorium's AgentSource is a B2B data service for matching, searching and enriching companies and prospects, with event signals and AI research tasks. Agents reach it through a REST API (v2) and a hosted MCP server.", "url": "https://www.anchorterminal.com/tools/explorium-agentsource", "markdownUrl": "https://www.anchorterminal.com/tools/explorium-agentsource.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/explorium-agentsource.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json", "repo": "https://github.com/explorium-ai/mcp-explorium", "license": "Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT", "transports": [ "http", "streamable-http", "sse" ], "remoteUrl": "https://api.explorium.ai", "packages": [], "auth": "api-key", "authNotes": "Self-serve API key from the admin console at admin.explorium.ai, sent in the `api_key` header. The docs say each company gets one key shared by all its users, with no scopes. The MCP v2 guide sends the same key as `Authorization: Bearer`. The older v1 MCP server at `mcp.explorium.ai` uses OAuth. The vendor's `auth.md` says registration needs a person and there is no client-registration endpoint.", "pricing": "usage", "pricingNotes": "One-off credit packs, no subscription. The pricing page lists Lite $29.99 for 500 credits, Starter $149.99 for 5,000, Growth $749.99 for 30,000 and Scale $7,499.99 for 500,000, valid 12 months and non-refundable. A free trial gives 100 credits for 90 days, so an agent's owner can start without a contract. The site's `pricing.md` (dated 26 August 2026) lists Starter at $99.99 for 2,500 and Growth at 25,000 credits instead. Fetch costs 1 credit a result (2 with the Bombora intent filter), enrichments 1 to 5, and contact enrichment 2 for email or 5 with phone.", "priceSummary": "$0.06 / credit", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI file, the pricing files or the terms of use (checked 2026-10-09).", "endpoints": [] }, "toolCount": 11, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://developers.explorium.ai", "llmsTxt": "https://developers.explorium.ai/llms.txt", "openapi": "https://developers.explorium.ai/openapi.json", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.company", "data.person" ], "tags": [ "lead-search", "enrichment", "hosted", "mcp", "openapi", "llms-txt", "webhooks", "async-jobs", "credits", "free-trial", "closed-source" ], "lastRelease": "2026-09-02", "graded": true, "anchor": { "graded": true, "score": 48.1, "grade": "D", "agentReady": false, "rank": 821, "ranked": true, "rankOf": 950, "categoryRank": 14, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 28, "payments": 40, "reliability": 42, "schema": 76, "security": 37, "transparency": 59 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": -2, "negativeNotes": [ "On 9 October 2026 the site's machine-readable `pricing.md` (dated 26 August 2026) lists Starter at $99.99 for 2,500 credits and Growth at 25,000 credits, while the pricing page it names as canonical lists $149.99 for 5,000 and 30,000. The site's `auth.md` and server card also send agents to the MCP server the docs call deprecated. A misleading published claim, 2 points (https://www.explorium.ai/pricing.md, https://www.explorium.ai/pricing/)" ], "verdict": "AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with `Retry-After`, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree.", "bestFor": "Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.", "strengths": [ "Public OpenAPI 3.1 file covering 74 v2 operations, plus llms.txt and a Markdown twin of every docs page", "Rate limit of 200 queries a minute per key, with `X-RateLimit-*` headers and `Retry-After` on 429", "Credit packs priced in public from $0.015 to $0.06 a credit, and a 100-credit free trial valid 90 days", "Statistics endpoints are free, and the `credit-usage: true` header returns the credits each call spent", "v1 retirement timeline published, with end of support about six months and retirement about twelve months after 2 September 2026" ], "weaknesses": [ "No status page was found, and no SLA is published", "One API key per company, shared by all users, with no scopes or read-only mode", "The site's `pricing.md` and its pricing page give different prices for the Starter and Growth packs", "The terms of use bar benchmarking and automated data collection, and allow service changes without notice", "No dated changelog and no official REST SDK found in the docs index" ], "agentNotes": [ "Send the key in the `api_key` header to `https://api.explorium.ai` and use `/v2` paths. v1 is deprecated", "Point MCP clients at `https://mcp-v2.explorium.ai/mcp`. The site's agent files still name the v1 server at `mcp.explorium.ai`", "Count each entity in a batch as one query against the 200 a minute limit, so 50 IDs in one call spend 50", "Call the statistics endpoint first to size an audience for free. Fetch costs 1 credit a result, or 2 with the Bombora intent filter", "Call `/v2/autocomplete` before filtering on category, tech stack or job title, and never mix two category types in one request" ], "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": 48.1 } ], "editorialScores": { "ergonomics": 63, "maintenance": 28, "payments": 40, "reliability": 42, "schema": 76, "security": 37, "transparency": 49 }, "provenanceScore": 68 }, "connect": { "http": "curl --request POST --url https://api.explorium.ai/v1/prospects --header 'accept: application/json' --header 'api_key: YOUR_API_KEY' --header 'content-type: application/json' --data '{\"mode\": \"full\", \"page\": 1}'" }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/explorium-agentsource" }, "area": "web-data", "unitPrices": [ { "item": "Lite credit pack", "unit": "credit", "usd": 0.06, "note": "$29.99 for 500 credits, valid 12 months" }, { "item": "Starter credit pack", "unit": "credit", "usd": 0.03, "note": "$149.99 for 5,000 credits on the pricing page. The site's pricing.md says $99.99 for 2,500" }, { "item": "Growth credit pack", "unit": "credit", "usd": 0.025, "note": "$749.99 for 30,000 credits on the pricing page. The site's pricing.md says 25,000" }, { "item": "Scale credit pack", "unit": "credit", "usd": 0.015, "note": "$7,499.99 for 500,000 credits" }, { "item": "Fetched business or prospect", "unit": "record", "usd": 0.03, "note": "1 credit a result at the Starter rate, 2 credits with the Bombora intent filter" }, { "item": "Contact enrichment, email and phone", "unit": "record", "usd": 0.15, "note": "5 credits at the Starter rate. Email only is 2 credits" } ], "provenance": { "legalEntity": "Explorium Ltd.", "domain": "explorium.ai", "domainRegistered": "2018-08-16", "endpointOnVendorDomain": true, "terms": "https://www.explorium.ai/explorium-website-terms-of-use/", "privacy": "https://www.explorium.ai/privacy-policy/", "statusPage": "", "changelog": "https://developers.explorium.ai/v2/whats-new", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "The page at /explorium-website-terms-of-use/ is titled Explorium Terms of Use (updated 14 June 2026). It is a contract between Explorium Ltd. and its affiliates and the customer, and covers the Platform, the API and Platform Data, so it governs the product and not only the website.", "The privacy policy (updated 28 June 2026) names Explorium Ltd., 3 Daniel Frisch St., Tel-Aviv, Israel, and covers the Platform and its end users. The terms give a contact address for Explorium Inc., 400 Concar Drive, San Mateo, California.", "www.explorium.ai/.well-known/security.txt returns the site's page-not-found page.", "No status page is linked from the docs or the site files read. status.explorium.ai did not answer our request.", "The changelog link is the v2 change list. No dated changelog was found in the docs index.", "RDAP for explorium.ai gives a registration date of 2018-08-16.", "The API answers at api.explorium.ai and the MCP server at mcp-v2.explorium.ai." ], "score": 68 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/explorium-agentsource.json", "live": { "slug": "explorium-agentsource", "probe": { "target": "https://api.explorium.ai", "method": "get", "lastAt": "2026-10-10T01:37:51.276352651Z", "lastOk": true, "lastStatus": 401, "lastMs": 467, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 411, "p95ms24h": 1390, "samples24h": 102, "samples30d": 102, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 17, "ok": 17 } ] }, "versions": [ { "registry": "github", "name": "explorium-ai/mcp-explorium", "version": "1.0.0", "released": "2025-09-16", "seenAt": "2026-10-09T16:52:27.476335726Z" } ], "githubStars": 21, "pages": [ { "url": "https://developers.explorium.ai/v2/whats-new", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:35:39.888809319Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "cbf94b2cb520" }, { "url": "https://www.explorium.ai/privacy-policy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:50:02.46808686Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a2cefae01442" }, { "url": "https://www.explorium.ai/explorium-website-terms-of-use/", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:49:59.834810876Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0267ad357a07" } ], "updatedAt": "2026-10-10T01:37:51.276352651Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Apollo.io", "b": "Explorium Ltd.", "name": "Vendor" }, { "a": "https://api.apollo.io/api/v1", "b": "https://api.explorium.ai", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "HTTP, Streamable HTTP, SSE (legacy)", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "none", "b": "Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT", "name": "Licence" }, { "a": "none", "b": "11", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "io.github.apolloio/apollo-mcp", "b": "not listed", "name": "MCP registry" }, { "a": "none", "b": "2026-09-02", "name": "Last release" }, { "a": "2026-08-10", "b": "2026-06-14", "name": "Terms last updated" }, { "a": "2026-08-10", "b": "2026-06-28", "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": "yes", "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 Explorium AgentSource's 48.1 (D), and leads in 6 of 7 scored categories. Explorium AgentSource leads on payments \u0026 pricing.", "question": "Which is better for AI agents, Apollo API + MCP or Explorium AgentSource?" }, { "answer": "Apollo API + MCP takes an API key or an OAuth sign-in. Explorium AgentSource needs an API key.", "question": "Do Apollo API + MCP and Explorium AgentSource need an API key?" }, { "answer": "Yes. Apollo API + MCP has a hosted endpoint at https://api.apollo.io/api/v1 and Explorium AgentSource at https://api.explorium.ai.", "question": "Can an agent call Apollo API + MCP and Explorium AgentSource without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 65 against 42", "Schema \u0026 documentation, 87 against 76", "Security \u0026 auth, 60 against 37", "Maintenance \u0026 community, 58 against 28", "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": [ "Payments \u0026 pricing, 40 against 30" ], "also": null, "goodFor": "Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.", "slug": "explorium-agentsource", "watchFor": "No status page was found, and no SLA is published" } ], "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-gojiberry.json", "title": "Apollo API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/apollo-vs-gojiberry" }, { "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-people-data-labs.json", "title": "Apollo API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/apollo-vs-people-data-labs" }, { "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/apollo-vs-rocketreach.json", "title": "Apollo API + MCP vs RocketReach API", "url": "https://www.anchorterminal.com/compare/apollo-vs-rocketreach" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-zoominfo.json", "title": "Apollo API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/coresignal-vs-explorium-agentsource.json", "title": "Coresignal API + MCP vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/coresignal-vs-explorium-agentsource" }, { "json": "https://www.anchorterminal.com/compare/crustdata-vs-explorium-agentsource.json", "title": "Crustdata API + MCP vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/crustdata-vs-explorium-agentsource" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource.json", "title": "Enrich Layer API + MCP vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich.json", "title": "Explorium AgentSource vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-fuse-mcp.json", "title": "Explorium AgentSource vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.json", "title": "Explorium AgentSource vs Gojiberry", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-hunter.json", "title": "Explorium AgentSource vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-leadmagic.json", "title": "Explorium AgentSource vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-lusha.json", "title": "Explorium AgentSource vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-people-data-labs.json", "title": "Explorium AgentSource vs People Data Labs", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-prospeo.json", "title": "Explorium AgentSource vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-rocketreach.json", "title": "Explorium AgentSource vs RocketReach API", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-rocketreach" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-zoominfo.json", "title": "Explorium AgentSource vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-zoominfo" }, { "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-explorium-agentsource.json", "title": "Dropcontact API + MCP vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-explorium-agentsource" } ], "scores": [ { "apollo": 65, "by": 23, "edge": "apollo", "explorium-agentsource": 42, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "apollo": 87, "by": 11, "edge": "apollo", "explorium-agentsource": 76, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "apollo": 65, "by": 2, "edge": "apollo", "explorium-agentsource": 63, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "apollo": 60, "by": 23, "edge": "apollo", "explorium-agentsource": 37, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "apollo": 30, "by": 10, "edge": "explorium-agentsource", "explorium-agentsource": 40, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "apollo": 58, "by": 30, "edge": "apollo", "explorium-agentsource": 28, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "apollo": 72, "by": 13, "edge": "apollo", "explorium-agentsource": 59, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Apollo API + MCP scores 63.3 (B) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 6 of 7 scored categories. Explorium AgentSource leads on payments \u0026 pricing. 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.", "explorium-agentsource": "AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with `Retry-After`, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource", "json": "https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource.md", "slim": "https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource.min.md" }, "markdown": "Apollo API + MCP scores 63.3 (B) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 6 of 7 scored categories. Explorium AgentSource leads on payments \u0026 pricing. Both do lead search.\n\n- Apollo API + MCP: grade B, 63.3/100, rank #398 of 950. Markdown https://www.anchorterminal.com/tools/apollo.md · JSON https://www.anchorterminal.com/api/v1/tools/apollo.json\n- Explorium AgentSource: grade D, 48.1/100, rank #821 of 950. Markdown https://www.anchorterminal.com/tools/explorium-agentsource.md · JSON https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json\n- Best lead, contact and company data APIs for AI agents: https://www.anchorterminal.com/best/lead-data/index.md\n- All 120 leads comparisons: https://www.anchorterminal.com/compare/lead-data/index.md\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- Reliability, 65 against 42\n- Schema \u0026 documentation, 87 against 76\n- Security \u0026 auth, 60 against 37\n- Maintenance \u0026 community, 58 against 28\n- Transparency \u0026 trust, 72 against 59\n\nWatch for: Headless MCP use needs a master key that reaches every endpoint\n\n### Explorium AgentSource (D)\n\nGood for: Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 30\n\nWatch for: No status page was found, and no SLA is published\n\n\n## Score by category\n\n| Category | Weight | Apollo API + MCP | Explorium AgentSource | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 42 | Apollo API + MCP +23 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 76 | Apollo API + MCP +11 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 63 | Apollo API + MCP +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 37 | Apollo API + MCP +23 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | Explorium AgentSource +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 58 | 28 | Apollo API + MCP +30 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 59 | Apollo API + MCP +13 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **63.3 · B** | **48.1 · D** | |\n\n## Facts side by side\n\n| Fact | Apollo API + MCP | Explorium AgentSource |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Apollo.io | Explorium Ltd. |\n| Hosted endpoint | `https://api.apollo.io/api/v1` | `https://api.explorium.ai` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP, SSE (legacy) |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | none | Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT |\n| Tools exposed | none | 11 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.apolloio/apollo-mcp` | not listed |\n| Last release | none | 2026-09-02 |\n| Terms last updated | 2026-08-10 | 2026-06-14 |\n| Privacy policy last updated | 2026-08-10 | 2026-06-28 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | yes | yes |\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**Explorium AgentSource.** AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with `Retry-After`, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree.\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### Explorium AgentSource\n\n1. Send the key in the `api_key` header to `https://api.explorium.ai` and use `/v2` paths. v1 is deprecated\n2. Point MCP clients at `https://mcp-v2.explorium.ai/mcp`. The site's agent files still name the v1 server at `mcp.explorium.ai`\n3. Count each entity in a batch as one query against the 200 a minute limit, so 50 IDs in one call spend 50\n4. Call the statistics endpoint first to size an audience for free. Fetch costs 1 credit a result, or 2 with the Bombora intent filter\n5. Call `/v2/autocomplete` before filtering on category, tech stack or job title, and never mix two category types in one request\n\n## Questions\n\n### Which is better for AI agents, Apollo API + MCP or Explorium AgentSource?\n\nApollo API + MCP scores 63.3 (B) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 6 of 7 scored categories. Explorium AgentSource leads on payments \u0026 pricing.\n\n### Do Apollo API + MCP and Explorium AgentSource need an API key?\n\nApollo API + MCP takes an API key or an OAuth sign-in. Explorium AgentSource needs an API key.\n\n### Can an agent call Apollo API + MCP and Explorium AgentSource without installing anything?\n\nYes. Apollo API + MCP has a hosted endpoint at https://api.apollo.io/api/v1 and Explorium AgentSource at https://api.explorium.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource.json, and with the fewest tokens: https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"apollo\", \"b\": \"explorium-agentsource\"}`. From a terminal: `anchor compare apollo explorium-agentsource`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/apollo.json and https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json\n\n## Other comparisons with Apollo API + MCP or Explorium AgentSource\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 Gojiberry](https://www.anchorterminal.com/compare/apollo-vs-gojiberry.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 People Data Labs](https://www.anchorterminal.com/compare/apollo-vs-people-data-labs.md)\n- [Apollo API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/apollo-vs-prospeo.md)\n- [Apollo API + MCP vs RocketReach API](https://www.anchorterminal.com/compare/apollo-vs-rocketreach.md)\n- [Apollo API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/apollo-vs-zoominfo.md)\n- [Coresignal API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/coresignal-vs-explorium-agentsource.md)\n- [Crustdata API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/crustdata-vs-explorium-agentsource.md)\n- [Enrich Layer API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource.md)\n- [Explorium AgentSource vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich.md)\n- [Explorium AgentSource vs Fuse MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-fuse-mcp.md)\n- [Explorium AgentSource vs Gojiberry](https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.md)\n- [Explorium AgentSource vs Hunter API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-hunter.md)\n- [Explorium AgentSource vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-leadmagic.md)\n- [Explorium AgentSource vs Lusha API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-lusha.md)\n- [Explorium AgentSource vs People Data Labs](https://www.anchorterminal.com/compare/explorium-agentsource-vs-people-data-labs.md)\n- [Explorium AgentSource vs Prospeo API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-prospeo.md)\n- [Explorium AgentSource vs RocketReach API](https://www.anchorterminal.com/compare/explorium-agentsource-vs-rocketreach.md)\n- [Explorium AgentSource vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-zoominfo.md)\n- [Apollo API + MCP vs Dropcontact API + MCP](https://www.anchorterminal.com/compare/apollo-vs-dropcontact.md)\n- [Dropcontact API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/dropcontact-vs-explorium-agentsource.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "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 Explorium AgentSource", "url": "" } ], "description": "Apollo scores 63.3 (B) to Explorium AgentSource's 48.1 (D) for lead search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Apollo API + MCP B 63.3", "Explorium AgentSource D 48.1", "scores" ], "h1": "Apollo API + MCP vs Explorium AgentSource", "image": "https://www.anchorterminal.com/assets/og/compare-apollo-vs-explorium-agentsource.png", "path": "/compare/apollo-vs-explorium-agentsource", "published": "2026-10-01", "section": "tools", "title": "Apollo vs Explorium AgentSource for AI agents (2026) | Anchor Terminal", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource" }, "tokens": { "markdown": 2650, "slim": 730 }, "version": 1 }