{ "data": { "a": { "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": "2026-10-10T02:07:08.507066981Z", "lastOk": true, "lastStatus": 401, "lastMs": 152, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 411, "p95ms24h": 1390, "samples24h": 107, "samples30d": 107, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 22, "ok": 22 } ] }, "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": "2026-10-10T02:07:08.507066981Z" } }, "answer": "Explorium AgentSource and Gojiberry score within a point of each other on agent readiness, 48.1 (D) and 47.9 (D). 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": 825, "ranked": true, "rankOf": 950, "categoryRank": 16, "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": "2026-10-10T02:07:09.967475572Z", "lastOk": true, "lastStatus": 200, "lastMs": 140, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 60, "p95ms24h": 156, "samples24h": 250, "samples30d": 365, "days": [ { "date": "2026-10-08", "probes": 93, "ok": 93 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 22, "ok": 22 } ] }, "vendorStatus": { "page": "https://status.gojiberry.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:37.718556118Z" }, "securityTxt": { "url": "https://gojiberry.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:39:45.649461402Z" }, "pages": [ { "url": "https://gojiberry.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:39:55.926065835Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "b089c78ab523" }, { "url": "https://gojiberry.ai/general-terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:39:53.660031574Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c6c92530ec29" } ], "updatedAt": "2026-10-10T02:07:09.967475572Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Explorium Ltd.", "b": "SUPERFRUITS SAS (Gojiberry AI)", "name": "Vendor" }, { "a": "https://api.explorium.ai", "b": "https://ext.gojiberry.ai", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP, SSE (legacy)", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT", "b": "Proprietary service under Gojiberry's General Terms", "name": "Licence" }, { "a": "11", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-09-02", "b": "none", "name": "Last release" }, { "a": "2026-06-14", "b": "no date given", "name": "Terms last updated" }, { "a": "2026-06-28", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "not found in the text", "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": "yes", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" } ], "faq": [ { "answer": "Explorium AgentSource and Gojiberry score within a point of each other on agent readiness, 48.1 (D) and 47.9 (D). Gojiberry leads on reliability.", "question": "Which is better for AI agents, Explorium AgentSource or Gojiberry?" }, { "answer": "Explorium AgentSource needs an API key. Gojiberry takes an API key or an OAuth sign-in.", "question": "Do Explorium AgentSource and Gojiberry need an API key?" }, { "answer": "Yes. Explorium AgentSource has a hosted endpoint at https://api.explorium.ai and Gojiberry at https://ext.gojiberry.ai.", "question": "Can an agent call Explorium AgentSource and Gojiberry without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 76 against 61", "Agent ergonomics, 63 against 55", "Security \u0026 auth, 37 against 32", "Payments \u0026 pricing, 40 against 10" ], "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" }, { "aheadOn": [ "Reliability, 74 against 42" ], "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-explorium-agentsource.json", "title": "Apollo API + MCP vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource" }, { "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/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/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-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/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-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/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/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-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/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-people-data-labs.json", "title": "Gojiberry vs People Data Labs", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-people-data-labs" }, { "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/gojiberry-vs-rocketreach.json", "title": "Gojiberry vs RocketReach API", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-rocketreach" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-zoominfo.json", "title": "Gojiberry vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-zoominfo" }, { "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" }, { "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": [ { "by": 32, "edge": "gojiberry", "explorium-agentsource": 42, "gojiberry": 74, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 15, "edge": "explorium-agentsource", "explorium-agentsource": 76, "gojiberry": 61, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 8, "edge": "explorium-agentsource", "explorium-agentsource": 63, "gojiberry": 55, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 5, "edge": "explorium-agentsource", "explorium-agentsource": 37, "gojiberry": 32, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 30, "edge": "explorium-agentsource", "explorium-agentsource": 40, "gojiberry": 10, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 3, "edge": "explorium-agentsource", "explorium-agentsource": 28, "gojiberry": 25, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 0, "edge": "", "explorium-agentsource": 59, "gojiberry": 59, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Explorium AgentSource and Gojiberry score within a point of each other on agent readiness, 48.1 (D) and 47.9 (D). Gojiberry leads on reliability. Both do lead search.", "verdicts": { "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.", "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/explorium-agentsource-vs-gojiberry", "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.md", "slim": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.min.md" }, "markdown": "Explorium AgentSource and Gojiberry score within a point of each other on agent readiness, 48.1 (D) and 47.9 (D). Gojiberry leads on reliability. Both do lead search.\n\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- Gojiberry: grade D, 47.9/100, rank #825 of 950. Markdown https://www.anchorterminal.com/tools/gojiberry.md · JSON https://www.anchorterminal.com/api/v1/tools/gojiberry.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### 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- Schema \u0026 documentation, 76 against 61\n- Agent ergonomics, 63 against 55\n- Security \u0026 auth, 37 against 32\n- Payments \u0026 pricing, 40 against 10\n\nWatch for: No status page was found, and no SLA is published\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 42\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 | Explorium AgentSource | Gojiberry | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 42 | 74 | Gojiberry +32 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 76 | 61 | Explorium AgentSource +15 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 55 | Explorium AgentSource +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 37 | 32 | Explorium AgentSource +5 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 10 | Explorium AgentSource +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 28 | 25 | Explorium AgentSource +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 59 | 59 | even |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **48.1 · D** | **47.9 · D** | |\n\n## Facts side by side\n\n| Fact | Explorium AgentSource | Gojiberry |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Explorium Ltd. | SUPERFRUITS SAS (Gojiberry AI) |\n| Hosted endpoint | `https://api.explorium.ai` | `https://ext.gojiberry.ai` |\n| Transports | HTTP, Streamable HTTP, SSE (legacy) | HTTP, Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Paid |\n| x402 | no | no |\n| Licence | Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT | Proprietary service under Gojiberry's General Terms |\n| Tools exposed | 11 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-09-02 | none |\n| Terms last updated | 2026-06-14 | no date given |\n| Privacy policy last updated | 2026-06-28 | no date given |\n| Customer content may train models | not found in the text | 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 | yes | yes |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n\n## Verdicts\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**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### 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### 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, Explorium AgentSource or Gojiberry?\n\nExplorium AgentSource and Gojiberry score within a point of each other on agent readiness, 48.1 (D) and 47.9 (D). Gojiberry leads on reliability.\n\n### Do Explorium AgentSource and Gojiberry need an API key?\n\nExplorium AgentSource needs an API key. Gojiberry takes an API key or an OAuth sign-in.\n\n### Can an agent call Explorium AgentSource and Gojiberry without installing anything?\n\nYes. Explorium AgentSource has a hosted endpoint at https://api.explorium.ai and Gojiberry at https://ext.gojiberry.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.json, and with the fewest tokens: https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"explorium-agentsource\", \"b\": \"gojiberry\"}`. From a terminal: `anchor compare explorium-agentsource gojiberry`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json and https://www.anchorterminal.com/api/v1/tools/gojiberry.json\n\n## Other comparisons with Explorium AgentSource or Gojiberry\n\n- [Apollo API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource.md)\n- [Apollo API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/apollo-vs-gojiberry.md)\n- [Coresignal API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/coresignal-vs-explorium-agentsource.md)\n- [Coresignal API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/coresignal-vs-gojiberry.md)\n- [Crustdata API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/crustdata-vs-explorium-agentsource.md)\n- [Crustdata API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/crustdata-vs-gojiberry.md)\n- [Enrich Layer API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource.md)\n- [Enrich Layer API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.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 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- [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 People Data Labs](https://www.anchorterminal.com/compare/gojiberry-vs-people-data-labs.md)\n- [Gojiberry vs Prospeo API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-prospeo.md)\n- [Gojiberry vs RocketReach API](https://www.anchorterminal.com/compare/gojiberry-vs-rocketreach.md)\n- [Gojiberry vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-zoominfo.md)\n- [Dropcontact API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/dropcontact-vs-explorium-agentsource.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": "2026-10-10", "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": "Explorium AgentSource vs Gojiberry", "url": "" } ], "description": "Explorium AgentSource and Gojiberry score within a point of each other for lead search, 48.1 and 47.9 out of 100. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Explorium AgentSource D 48.1", "Gojiberry D 47.9", "scores" ], "h1": "Explorium AgentSource vs Gojiberry", "image": "https://www.anchorterminal.com/assets/og/compare-explorium-agentsource-vs-gojiberry.png", "path": "/compare/explorium-agentsource-vs-gojiberry", "published": "2026-10-01", "section": "tools", "title": "Explorium AgentSource vs Gojiberry for AI agents (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry" }, "tokens": { "markdown": 2700, "slim": 630 }, "version": 1 }