{
  "data": {
    "a": {
      "slug": "fullenrich",
      "name": "FullEnrich API + MCP",
      "vendor": "FullEnrich",
      "vendorUrl": "https://fullenrich.com",
      "kind": "http-api",
      "category": "lead-data",
      "summary": "Waterfall contact enrichment that queries 20+ data providers for work emails, personal emails and mobile numbers, plus people and company search and reverse email lookup.",
      "url": "https://www.anchorterminal.com/tools/fullenrich",
      "markdownUrl": "https://www.anchorterminal.com/tools/fullenrich.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/fullenrich.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/fullenrich.json",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://app.fullenrich.com/api/v2",
      "packages": [],
      "auth": "mixed",
      "authNotes": "Bearer API key in the Authorization header for REST. The hosted MCP server at https://mcp.fullenrich.com/mcp signs in with your FullEnrich account over OAuth. Webhooks carry an X-Signature-SHA1 header, an HMAC-SHA1 of the raw body keyed with your API key.",
      "pricing": "freemium",
      "pricingNotes": "Free trial with 50 credits and no card. Pro from $55 a month for 1,000 credits (about $0.055 a credit), scaling to $720 a month for 15,000 credits, with cheaper annual billing and Enterprise on quote. Credits are spent only on found data. A work email costs 1 credit, a personal email 3, a mobile number 10, a reverse email match 1, and each search result 0.25 (free to export again). Unused credits roll over for 3 months on monthly plans and 12 on annual (https://fullenrich.com/pricing).",
      "priceSummary": "$55 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 13,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.fullenrich.com",
      "llmsTxt": "https://docs.fullenrich.com/llms.txt",
      "openapi": "https://docs.fullenrich.com/api/v2/reference/openapi.yaml",
      "registryName": "io.github.FullEnrich/fullenrich",
      "capabilities": [
        "lead.search",
        "lead.enrichment",
        "email.finder",
        "data.person",
        "data.company"
      ],
      "tags": [
        "hosted",
        "freemium",
        "no-card",
        "mcp",
        "llms-txt",
        "openapi",
        "webhooks",
        "async-jobs",
        "closed-source",
        "lead-search",
        "enrichment"
      ],
      "lastRelease": "2026-08-27",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 59.6,
        "grade": "C",
        "agentReady": false,
        "rank": 423,
        "ranked": true,
        "rankOf": 722,
        "categoryRank": 5,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 60,
          "maintenance": 68,
          "payments": 40,
          "reliability": 60,
          "schema": 72,
          "security": 55,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.",
        "bestFor": "Maximising find rate on known contacts, especially mobiles, without a long-term contract.",
        "strengths": [
          "Credits only spent on found data, and identical re-runs within 3 months are free",
          "50 trial credits with no card, API and MCP included",
          "Hosted MCP with OAuth and 13 tools, listed in the official registry under io.github.FullEnrich",
          "OpenAPI file and llms.txt",
          "SOC 2 Type 2 per the trust page"
        ],
        "weaknesses": [
          "Enrichment sources are third-party providers the vendor doesn't name",
          "Status page covers the web app only, not the API or MCP",
          "No 429 or error reference found in the docs",
          "Public product changelog stops at November 2024",
          "Webhooks signed with HMAC-SHA1 keyed with the API key itself"
        ],
        "agentNotes": [
          "Send identical names, domains and LinkedIn URLs when re-running, or deduplication misses and you pay again",
          "Expect 30 to 90 seconds a contact. Use the webhook or poll `get_enrichment_results`",
          "Ask for mobiles only when needed. They cost 10 credits against 1 for a work email",
          "Call `list_industries` and `list_seniorities` before filtering search",
          "Use the 0-credit test contacts in the docs to check an integration"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 59.6
          }
        ],
        "editorialScores": {
          "ergonomics": 60,
          "maintenance": 68,
          "payments": 40,
          "reliability": 60,
          "schema": 72,
          "security": 55,
          "transparency": 50
        },
        "provenanceScore": 77
      },
      "connect": {
        "http": "curl https://app.fullenrich.com/api/v2/account/credits -H \"Authorization: Bearer $FULLENRICH_API_KEY\"",
        "claudeCode": "claude mcp add --transport http fullenrich https://mcp.fullenrich.com/mcp",
        "config": {
          "mcpServers": {
            "fullenrich": {
              "url": "https://mcp.fullenrich.com/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/lead.search",
        "tool": "https://letme.dev/fullenrich"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Pro, 1,000 credits",
          "unit": "month",
          "usd": 55
        },
        {
          "item": "Pro, 15,000 credits",
          "unit": "month",
          "usd": 720
        },
        {
          "item": "Credit on Pro 1,000",
          "unit": "credit",
          "usd": 0.055,
          "note": "one found work email; a mobile is 10 credits, a personal email 3, a search result 0.25"
        }
      ],
      "provenance": {
        "legalEntity": "FullEnrich Corp",
        "domain": "fullenrich.com",
        "domainRegistered": "2023-04-08",
        "endpointOnVendorDomain": true,
        "terms": "https://fullenrich.com/tos",
        "privacy": "https://fullenrich.com/privacy-policy",
        "statusPage": "https://status.fullenrich.com",
        "changelog": "https://fullenrich.com/changelog",
        "securityTxt": "none",
        "checked": "2026-10-01",
        "notes": [
          "The public changelog's newest entry is 30 November 2024. The MCP package keeps its own CHANGELOG in github.com/FullEnrich/fullenrich-skills, latest 1.0.4 on 2026-08-27",
          "The status page has one component, app.fullenrich.com/app, and none for the API"
        ],
        "score": 77
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/fullenrich.json",
      "live": {
        "slug": "fullenrich",
        "probe": {
          "target": "https://app.fullenrich.com/api/v2",
          "method": "get",
          "lastAt": "2026-10-08T23:26:32.040706189Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 75,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 73,
          "p95ms24h": 151,
          "samples24h": 268,
          "samples30d": 2180,
          "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": 262,
              "ok": 262
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.fullenrich.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-08T19:38:34.845049001Z"
        },
        "versions": [
          {
            "registry": "mcp-registry",
            "name": "io.github.FullEnrich/fullenrich",
            "version": "1.0.4",
            "seenAt": "2026-10-08T02:42:52.272076636Z"
          }
        ],
        "securityTxt": {
          "url": "https://fullenrich.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:03.745768343Z"
        },
        "llmsTxt": {
          "url": "https://docs.fullenrich.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:27.12312278Z"
        },
        "domain": {
          "domain": "fullenrich.com",
          "registered": "2023-04-08",
          "source": "https://rdap.verisign.com/com/v1/domain/fullenrich.com",
          "checkedAt": "2026-10-04T13:08:06.739717008Z"
        },
        "pages": [
          {
            "url": "https://fullenrich.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:20:31.544023287Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "3743ba5a6ed1"
          },
          {
            "url": "https://fullenrich.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:20:34.70236178Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "8d24d5b37df7"
          },
          {
            "url": "https://fullenrich.com/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:20:35.863765695Z",
            "changedAt": "2026-10-08T18:20:35.863765695Z",
            "fingerprint": "e5ec8a32f619"
          },
          {
            "url": "https://fullenrich.com/tos",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:20:37.96787689Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "09e6f975476f"
          }
        ],
        "updatedAt": "2026-10-08T23:26:32.040706189Z"
      }
    },
    "answer": "FullEnrich API + MCP scores 59.6 (C) 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": 628,
        "ranked": true,
        "rankOf": 722,
        "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": "2026-10-08T23:26:32.384250847Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 61,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 60,
          "p95ms24h": 139,
          "samples24h": 87,
          "samples30d": 87,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 87,
              "ok": 87
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.gojiberry.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-08T19:38:37.355977436Z"
        },
        "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": "2026-10-08T23:26:32.384250847Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "FullEnrich",
        "b": "SUPERFRUITS SAS (Gojiberry AI)",
        "name": "Vendor"
      },
      {
        "a": "https://app.fullenrich.com/api/v2",
        "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": "13",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "io.github.FullEnrich/fullenrich",
        "b": "not listed",
        "name": "MCP registry"
      },
      {
        "a": "2026-08-27",
        "b": "none",
        "name": "Last release"
      },
      {
        "a": "2026-08-20",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "2026-08-20",
        "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": "not found in the text",
        "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": "3.5/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "FullEnrich API + MCP scores 59.6 (C) 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, FullEnrich API + MCP or Gojiberry?"
      },
      {
        "answer": "Both take an API key or an OAuth sign-in.",
        "question": "Do FullEnrich API + MCP and Gojiberry need an API key?"
      },
      {
        "answer": "Yes. FullEnrich API + MCP has a hosted endpoint at https://app.fullenrich.com/api/v2 and Gojiberry at https://ext.gojiberry.ai.",
        "question": "Can an agent call FullEnrich API + MCP and Gojiberry without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 72 against 61",
          "Agent ergonomics, 60 against 55",
          "Security \u0026 auth, 55 against 32",
          "Payments \u0026 pricing, 40 against 10",
          "Maintenance \u0026 community, 68 against 25",
          "Transparency \u0026 trust, 64 against 59"
        ],
        "also": [
          "Free to start without a card"
        ],
        "goodFor": "Maximising find rate on known contacts, especially mobiles, without a long-term contract.",
        "slug": "fullenrich",
        "watchFor": "Enrichment sources are third-party providers the vendor doesn't name"
      },
      {
        "aheadOn": [
          "Reliability, 74 against 60"
        ],
        "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-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-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-fullenrich.json",
        "title": "Coresignal API + MCP vs FullEnrich API + MCP",
        "url": "https://www.anchorterminal.com/compare/coresignal-vs-fullenrich"
      },
      {
        "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-fullenrich.json",
        "title": "Crustdata API + MCP vs FullEnrich API + MCP",
        "url": "https://www.anchorterminal.com/compare/crustdata-vs-fullenrich"
      },
      {
        "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-fullenrich.json",
        "title": "Enrich Layer API + MCP vs FullEnrich API + MCP",
        "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich"
      },
      {
        "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-fuse-mcp.json",
        "title": "FullEnrich API + MCP vs Fuse MCP",
        "url": "https://www.anchorterminal.com/compare/fullenrich-vs-fuse-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fullenrich-vs-hunter.json",
        "title": "FullEnrich API + MCP vs Hunter API + MCP",
        "url": "https://www.anchorterminal.com/compare/fullenrich-vs-hunter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fullenrich-vs-leadmagic.json",
        "title": "FullEnrich API + MCP vs LeadMagic API + MCP",
        "url": "https://www.anchorterminal.com/compare/fullenrich-vs-leadmagic"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fullenrich-vs-lusha.json",
        "title": "FullEnrich API + MCP vs Lusha API + MCP",
        "url": "https://www.anchorterminal.com/compare/fullenrich-vs-lusha"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.json",
        "title": "FullEnrich API + MCP vs Prospeo API + MCP",
        "url": "https://www.anchorterminal.com/compare/fullenrich-vs-prospeo"
      },
      {
        "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/dropcontact-vs-fullenrich.json",
        "title": "Dropcontact API + MCP vs FullEnrich API + MCP",
        "url": "https://www.anchorterminal.com/compare/dropcontact-vs-fullenrich"
      },
      {
        "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": 14,
        "edge": "gojiberry",
        "fullenrich": 60,
        "gojiberry": 74,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 11,
        "edge": "fullenrich",
        "fullenrich": 72,
        "gojiberry": 61,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 5,
        "edge": "fullenrich",
        "fullenrich": 60,
        "gojiberry": 55,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 23,
        "edge": "fullenrich",
        "fullenrich": 55,
        "gojiberry": 32,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 30,
        "edge": "fullenrich",
        "fullenrich": 40,
        "gojiberry": 10,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 43,
        "edge": "fullenrich",
        "fullenrich": 68,
        "gojiberry": 25,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 5,
        "edge": "fullenrich",
        "fullenrich": 64,
        "gojiberry": 59,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "FullEnrich API + MCP scores 59.6 (C) 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": {
      "fullenrich": "Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.",
      "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/fullenrich-vs-gojiberry",
    "json": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.md",
    "slim": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.min.md"
  },
  "markdown": "FullEnrich API + MCP scores 59.6 (C) 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- FullEnrich API + MCP: grade C, 59.6/100, rank #423 of 722. Markdown https://www.anchorterminal.com/tools/fullenrich.md · JSON https://www.anchorterminal.com/api/v1/tools/fullenrich.json\n- Gojiberry: grade D, 47.9/100, rank #628 of 722. 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### FullEnrich API + MCP (C)\n\nGood for: Maximising find rate on known contacts, especially mobiles, without a long-term contract.\n\nAhead on:\n- Schema \u0026 documentation, 72 against 61\n- Agent ergonomics, 60 against 55\n- Security \u0026 auth, 55 against 32\n- Payments \u0026 pricing, 40 against 10\n- Maintenance \u0026 community, 68 against 25\n- Transparency \u0026 trust, 64 against 59\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: Enrichment sources are third-party providers the vendor doesn't name\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 60\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 | FullEnrich API + MCP | Gojiberry | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 74 | Gojiberry +14 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 72 | 61 | FullEnrich API + MCP +11 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 55 | FullEnrich API + MCP +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 55 | 32 | FullEnrich API + MCP +23 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 10 | FullEnrich API + MCP +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 68 | 25 | FullEnrich API + MCP +43 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 59 | FullEnrich API + MCP +5 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **59.6 · C** | **47.9 · D** | |\n\n## Facts side by side\n\n| Fact | FullEnrich API + MCP | Gojiberry |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | FullEnrich | SUPERFRUITS SAS (Gojiberry AI) |\n| Hosted endpoint | `https://app.fullenrich.com/api/v2` | `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| Tools exposed | 13 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| MCP registry | `io.github.FullEnrich/fullenrich` | not listed |\n| Last release | 2026-08-27 | none |\n| Terms last updated | 2026-08-20 | no date given |\n| Privacy policy last updated | 2026-08-20 | no date given |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | 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| Agent reviews | 3.5/5 (2) | none |\n\n## Verdicts\n\n**FullEnrich API + MCP.** Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.\n\n**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### FullEnrich API + MCP\n\n1. Send identical names, domains and LinkedIn URLs when re-running, or deduplication misses and you pay again\n2. Expect 30 to 90 seconds a contact. Use the webhook or poll `get_enrichment_results`\n3. Ask for mobiles only when needed. They cost 10 credits against 1 for a work email\n4. Call `list_industries` and `list_seniorities` before filtering search\n5. Use the 0-credit test contacts in the docs to check an integration\n\n### 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, FullEnrich API + MCP or Gojiberry?\n\nFullEnrich API + MCP scores 59.6 (C) on agent readiness against Gojiberry's 47.9 (D), and leads in 6 of 7 scored categories. Gojiberry leads on reliability.\n\n### Do FullEnrich 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 FullEnrich API + MCP and Gojiberry without installing anything?\n\nYes. FullEnrich API + MCP has a hosted endpoint at https://app.fullenrich.com/api/v2 and Gojiberry at https://ext.gojiberry.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"fullenrich\", \"b\": \"gojiberry\"}`. From a terminal: `anchor compare fullenrich gojiberry`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fullenrich.json and https://www.anchorterminal.com/api/v1/tools/gojiberry.json\n\n## Other comparisons with FullEnrich API + MCP or Gojiberry\n\n- [Apollo API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/apollo-vs-fullenrich.md)\n- [Apollo API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/apollo-vs-gojiberry.md)\n- [Coresignal API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-fullenrich.md)\n- [Coresignal API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/coresignal-vs-gojiberry.md)\n- [Crustdata API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-fullenrich.md)\n- [Crustdata API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/crustdata-vs-gojiberry.md)\n- [Enrich Layer API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.md)\n- [Enrich Layer API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.md)\n- [FullEnrich API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/fullenrich-vs-fuse-mcp.md)\n- [FullEnrich API + MCP vs Hunter API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-hunter.md)\n- [FullEnrich API + MCP vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-leadmagic.md)\n- [FullEnrich API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-lusha.md)\n- [FullEnrich API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.md)\n- [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- [Dropcontact API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-fullenrich.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": "FullEnrich API + MCP vs Gojiberry",
        "url": ""
      }
    ],
    "description": "FullEnrich API + MCP scores 59.6 (C) 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": [
      "FullEnrich API + MCP C 59.6",
      "Gojiberry D 47.9",
      "scores"
    ],
    "h1": "FullEnrich API + MCP vs Gojiberry",
    "image": "https://www.anchorterminal.com/assets/og/compare-fullenrich-vs-gojiberry.png",
    "path": "/compare/fullenrich-vs-gojiberry",
    "published": "2026-10-01",
    "section": "tools",
    "title": "FullEnrich API + MCP vs Gojiberry for AI agents, C 59.6 vs D 47.9",
    "toc": null,
    "updated": "2026-10-08",
    "url": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry"
  },
  "tokens": {
    "markdown": 2300,
    "slim": 680
  },
  "version": 1
}
