{ "data": { "a": { "slug": "databar", "name": "Databar", "vendor": "Databar, Inc.", "vendorUrl": "https://databar.ai", "kind": "http-api", "category": "lead-data", "summary": "Databar is a data enrichment platform from Databar, Inc. that reaches 100+ providers for company, person, email and phone data through tables, waterfalls and flows, with a REST API, Python SDK, CLI and a hosted MCP server.", "url": "https://www.anchorterminal.com/tools/databar", "markdownUrl": "https://www.anchorterminal.com/tools/databar.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/databar.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/databar.json", "dns": "databar.grade.anchorterminal.com", "license": "Proprietary, under Databar, Inc.'s terms of service", "transports": [ "http", "streamable-http", "sse" ], "remoteUrl": "https://mcp.databar.ai/mcp", "packages": [ { "registry": "pypi", "name": "databar" } ], "auth": "mixed", "authNotes": "REST: workspace API key in the `x-apikey` header, from Integrations in the workspace. MCP: OAuth through Databar's own consent screen, with a Connected apps page to revoke access, or the API key as a Bearer token. No scopes found; the terms let Databar revoke or rotate keys.", "pricing": "paid", "pricingNotes": "Build $99 a month for 5,000 credits, Scale $495 for 50,000, Enterprise custom; annual saves 12% with the year's credits up front. Free plan with 150 credits and no API access. 14-day premium trial with no card. Credits per connector vary (for example 0.15 credits per Google Maps location) and are only spent on Databar's provider keys; your own keys use actions (https://databar.ai/pricing, https://docs.databar.ai/product-guide/credits-and-billing, checked 2026-11-06).", "priceSummary": "$0.0198 / credit", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in llms.txt, the API reference, MCP docs or pricing (checked 2026-11-06). An empty balance answers 406.", "endpoints": [] }, "toolCount": 69, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://docs.databar.ai", "llmsTxt": "https://docs.databar.ai/llms.txt", "capabilities": [ "lead.enrichment", "email.finder", "email.verification", "lead.search", "data.company" ], "tags": [ "hosted", "mcp", "remote-mcp", "oauth", "llms-txt", "python", "cli", "async-jobs", "enrichment", "free-trial", "no-card", "closed-source", "no-status-page" ], "lastRelease": "2026-10-30", "graded": true, "anchor": { "graded": true, "score": 53.8, "grade": "D", "agentReady": false, "rank": 933, "ranked": true, "rankOf": 1486, "categoryRank": 13, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 73, "payments": 35, "reliability": 28, "schema": 84, "security": 47, "transparency": 55 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "Databar puts 100+ enrichment providers, waterfalls and tables behind one REST API, a Python SDK, a CLI and a hosted MCP server with spending confirmation above 50 credits and stable error codes. API access needs a paid plan or trial, rate limits aren't published as numbers, and no status page or security programme was found.", "bestFor": "Waterfall enrichment across many providers for GTM agents, close to clay and fullenrich.", "strengths": [ "One key reaches 100+ data providers, with waterfalls that stop at the first result", "Hosted MCP checks the credit balance and asks for confirmation on runs estimated at 50 credits or more", "Errors carry stable codes such as UNKNOWN_COLUMNS with the available columns, 406 for credits and 410 for expired results", "Each endpoint page embeds its OpenAPI 3.1 definition, with llms.txt and Markdown twins", "14-day premium trial with no card, and Python SDK 2.9.0 released on 30 October 2026" ], "weaknesses": [ "API access needs a paid plan; the free plan's 150 credits don't include it", "Rate limits are not published as numbers, and no status page or SLA was found", "69 MCP tools with no toolsets, including deletes of tables, rows, workbooks and trash", "No security.txt, disclosure policy or certification found", "The OpenAPI description says the REST API needs a call with the team first, while the quickstart says a paid plan is enough" ], "agentNotes": [ "Poll GET /v1/tasks/{task_id} for async runs and collect results within 24 hours; after that the task returns gone", "When the MCP returns confirmation_required, show estimated_credits to the user and re-call with the retry_with object only after they agree", "Use upsert with a key column, and pass internal_version when editing flows, to avoid duplicates and stale-write 409s", "Check credits with GET /v1/user/me before bulk runs; 406 means the balance or plan can't cover it", "Treat AI researcher and scraped outputs as untrusted text" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 53.8 } ], "editorialScores": { "ergonomics": 66, "maintenance": 73, "payments": 35, "reliability": 28, "schema": 84, "security": 47, "transparency": 43 }, "provenanceScore": 67, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install databar", "http": "curl https://api.databar.ai/v1/user/me -H \"x-apikey: $DATABAR_API_KEY\"", "config": { "mcpServers": { "databar": { "headers": { "Authorization": "Bearer your-api-key-here" }, "type": "http", "url": "https://mcp.databar.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/lead.enrichment", "tool": "https://letme.dev/databar" }, "area": "web-data", "unitPrices": [ { "item": "Credit on Build", "unit": "credit", "usd": 0.0198, "note": "$99 a month for 5,000 credits" }, { "item": "Build plan", "unit": "month", "usd": 99, "note": "5,000 credits" } ], "provenance": { "legalEntity": "Databar, Inc.", "domain": "databar.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://databar.ai/terms-of-service", "privacy": "https://databar.ai/privacy-policy", "statusPage": "", "changelog": "https://feedback.databar.ai/changelog", "securityTxt": "unknown", "checked": "2026-11-06", "notes": [ "Terms and privacy policy effective 1 October 2026, replacing the 2021 versions, per the changelog.", "databar.ai/robots.txt allows all but app routes; docs.databar.ai/robots.txt allows all with Content-Signal ai-train=yes, search=yes, ai-input=yes; feedback.databar.ai allows all.", "The terms bar reselling third-party data and say an AI agent using a customer's credentials is treated as the customer.", "No status page or security.txt was looked up beyond the links on the site; none is linked." ], "score": 67 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/databar.json", "live": { "slug": "databar", "probe": { "target": "https://mcp.databar.ai/mcp", "method": "get", "lastAt": "2026-11-07T18:20:19.847046439Z", "lastOk": true, "lastStatus": 401, "lastMs": 312, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 266, "p95ms24h": 345, "samples24h": 200, "samples30d": 200, "days": [ { "date": "2026-11-06", "probes": 13, "ok": 13 }, { "date": "2026-11-07", "probes": 187, "ok": 187 } ] }, "versions": [ { "registry": "pypi", "name": "databar", "version": "2.9.0", "released": "2026-10-30", "seenAt": "2026-11-06T23:19:17.79768289Z" } ], "pypiWeekly": 140, "securityTxt": { "url": "https://databar.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:19.585020171Z" }, "llmsTxt": { "url": "https://docs.databar.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:14.255704247Z" }, "pages": [ { "url": "https://feedback.databar.ai/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:09:44.198444657Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "74531355b07b" }, { "url": "https://databar.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:02:24.391544522Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "531d3fecc8b0" }, { "url": "https://databar.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:02:27.152620002Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "675056868ed7" }, { "url": "https://databar.ai/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:02:28.980639136Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e6dbfaf05e9f" } ], "mcpTools": { "url": "https://mcp.databar.ai/mcp", "checkedAt": "2026-11-07T01:43:41.829002126Z", "status": "auth", "note": "asks for credentials before listing its tools", "changedAt": "2026-11-07T01:43:41.829002126Z" }, "updatedAt": "2026-11-07T18:20:19.847046439Z" } }, "answer": "FullEnrich API + MCP scores 62.2 (B) on agent readiness against Databar's 53.8 (D), and leads in 4 of 7 scored categories. Databar leads on schema \u0026 documentation and maintenance \u0026 community.", "b": { "slug": "fullenrich", "name": "FullEnrich API + MCP", "vendor": "FullEnrich", "vendorUrl": "https://fullenrich.com", "kind": "http-api", "category": "lead-data", "summary": "Waterfall contact enrichment that queries 25+ data providers for work emails, personal emails and mobile numbers, plus people and company search and lookup 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", "dns": "fullenrich.grade.anchorterminal.com", "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 $29 a month for 500 credits ($55 for 1,000, about $0.055 a credit), scaling to $3,500 a month for 100,000 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.md, checked 2026-11-04).", "priceSummary": "$29 / 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": 62.2, "grade": "B", "agentReady": false, "rank": 565, "ranked": true, "rankOf": 1486, "categoryRank": 6, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 48, "payments": 40, "reliability": 70, "schema": 76, "security": 57, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-04" }, "negative": 0, "verdict": "Credits are spent only on found data, identical re-runs within 3 months are free, and the v2 OpenAPI documents error codes per operation. The status page covers only the web app, no MCP release since 27 August changed more than packaging, and the enrichment data providers aren't named.", "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 with per-operation error codes, llms.txt and a Markdown pricing page", "SOC 2 Type 2 per the trust page, with data hosted in the EU" ], "weaknesses": [ "Enrichment sources are data providers the vendor doesn't name", "Status page covers the web app only, not the API or MCP", "No safe-retry guidance for writes and no SLA", "Public product changelog stopped at November 2024 and now answers an error", "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", "On a 429 with `error.rate.limit`, wait a minute before retrying. The limit is 60 calls a minute on every endpoint" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.2 } ], "editorialScores": { "ergonomics": 66, "maintenance": 48, "payments": 40, "reliability": 70, "schema": 76, "security": 57, "transparency": 56 }, "provenanceScore": 80, "checked": { "categories": { "ergonomics": "2026-11-04", "maintenance": "2026-11-04", "payments": "2026-11-04", "reliability": "2026-11-04", "schema": "2026-11-04", "security": "2026-11-04", "transparency": "2026-11-04" }, "last": "2026-11-04", "lastMoved": "2026-11-04", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "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, 500 credits", "unit": "month", "usd": 29 }, { "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": "2026-11-04", "notes": [ "The public changelog's newest entry is 30 November 2024 per the 1 October 2026 check; on 4 November 2026 the page answered 400 \"Invalid page\". 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. Its robots.txt is an empty 200 (no rules)", "fullenrich.com/.well-known/security.txt answered 404 on 4 November 2026" ], "score": 80 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/fullenrich.json", "live": { "slug": "fullenrich", "probe": { "target": "https://app.fullenrich.com/api/v2", "method": "get", "lastAt": "2026-11-07T18:20:26.109658702Z", "lastOk": true, "lastStatus": 404, "lastMs": 109, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 72, "p95ms24h": 148, "samples24h": 239, "samples30d": 7910, "days": [ { "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": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 248, "ok": 248 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 187, "ok": 187 } ] }, "vendorStatus": { "page": "https://status.fullenrich.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-07T04:47:49.202293773Z" }, "versions": [ { "registry": "mcp-registry", "name": "io.github.FullEnrich/fullenrich", "version": "1.0.4", "seenAt": "2026-11-07T18:16:28.95801333Z" } ], "securityTxt": { "url": "https://fullenrich.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:21.825212858Z" }, "llmsTxt": { "url": "https://docs.fullenrich.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:32.835811774Z" }, "domain": { "domain": "fullenrich.com", "registered": "2023-04-08", "source": "https://rdap.verisign.com/com/v1/domain/fullenrich.com", "checkedAt": "2026-11-01T14:17:38.284458544Z" }, "pages": [ { "url": "https://fullenrich.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:10:14.629341435Z", "changedAt": "2026-11-06T13:32:21.946678463Z", "fingerprint": "21cc3cbeed28" }, { "url": "https://fullenrich.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-04T08:24:22.224697456Z", "changedAt": "2026-10-28T04:18:22.922082282Z", "fingerprint": "b320816d19e5" }, { "url": "https://fullenrich.com/pricing.md", "kind": "pricing", "status": 304, "checkedAt": "2026-11-07T14:10:17.318617338Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ba0c3a32e164" }, { "url": "https://fullenrich.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:10:18.678786254Z", "changedAt": "2026-11-06T13:32:25.990764115Z", "fingerprint": "754c6d67f3dd" }, { "url": "https://fullenrich.com/tos", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:10:21.231460689Z", "changedAt": "2026-11-06T13:32:28.60618135Z", "fingerprint": "b39985f843fd" } ], "mcpTools": { "url": "https://mcp.fullenrich.com/mcp", "checkedAt": "2026-11-07T01:44:40.155434389Z", "status": "auth", "note": "asks for credentials before listing its tools", "changedAt": "2026-11-07T01:44:40.155434389Z" }, "updatedAt": "2026-11-07T18:20:26.109658702Z" } }, "edges": [ { "by": 42, "category": "reliability", "leads": "fullenrich", "name": "Reliability", "reasons": { "a": "Hosted lines. No status page linked from the site or docs (0). No incident history to read (5). The 20 August changelog says rate limits return 429, but no numbers were found in the docs read (5 of 15). The SDK backs off on 429 per the 28 September entry, tasks can be cancelled with a refund, and no Retry-After or idempotency key is documented (8 of 15). No SLA found (0). The MCP server left beta on 15 July 2026 and the API is generally available (10). 0+5+5+8+0+10 = 28.", "b": "Better Stack status page, but with one component (app.fullenrich.com/app) and none for the API or MCP (15 of 20). Its incident history, read on 4 November month by month from December 2025 to November 2026, says \"No incidents reported\" for every month, so the page has never posted an incident in the history we read (20, this run's value for a never-posted page; was 15 with the history unread). The monitor bar shows uptime figures of 100 and 99.983 per cent across its 30 to 90 day views, with no incident posted. 60 calls a minute on every endpoint, 100 contacts a bulk and 100 concurrent enrichments per workspace (15). The v2 OpenAPI documents a 429 on six operations with code `error.rate.limit` and the message \"Too many requests. Try again in 1m\", and identical re-submissions within 3 months aren't charged again, but there is no safe-retry guidance for writes (10 of 15; was 5). No SLA found (0). Generally available, no beta label on the API or MCP (10). 15+20+15+10+0+10 = 70." }, "scores": { "a": 28, "b": 70 } }, { "by": 25, "category": "maintenance", "leads": "databar", "name": "Maintenance \u0026 community", "reasons": { "a": "Closed service. Python SDK 2.9.0 on 30 October 2026, 7 days before this check (30). SDK 2.7.0 and 2.8.0 on 6 October and changelog entries on 23, 24, 27, 28, 29 and 30 September and 1 October (20). A public changelog, roadmap and feedback portal, an email address, and a Slack channel on Scale (10 of 15). An official Python SDK and CLI, no other languages (10 of 15). Package health not checked (3 of 10). 30+20+10+10+3 = 73.", "b": "Every dated source of the vendor's own was looked for, in the MCP and skills repository (tags and CHANGELOG), the product changelog (answered 400 on 4 November; newest entry 30 November 2024 per the 1 October check), the docs (no changelog page; the OpenAPI file's Last-Modified date records no listed change). 1.0.4 on 27 August 2026 only links the repository from `server.json` and corrects the README, a packaging release that counts half and can't set recency. 1.0.2 (10 August) rewrote the full-crm skill's description and steps as well as adding the portable package, and 1.0.3 on 11 August changed skill behaviour (opt-out signals, a confirmation before sequencer changes), so both count in full. The newest of them, 1.0.3, is 85 days back (20). From 6 August, 1.0.2 and 1.0.3 in full and 1.0.4 at half make 2.5, under three (0; was 20). Support by email and help centre (6 of 15). Listed in the official MCP registry as io.github.FullEnrich/fullenrich, a GitHub-verified namespace (15). The skills repo has tests and a version-locked publish workflow (7 of 10). 20+0+6+15+7 = 48." }, "scores": { "a": 73, "b": 48 } }, { "by": 13, "category": "transparency", "leads": "fullenrich", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed service with terms effective 1 October 2026 naming Databar, Inc. of Delaware (15 of 30). The privacy policy keeps data 'for as long as needed' with no periods; the docs give 24 hours for task results; a DPA is part of the agreement but was not read (15 of 30). The changelog flagged breaking API and SDK changes on 20 August 2026, and the terms let Databar retire any form of programmatic access; no notice period stated (8 of 20). Sub-processors are disclosed under the DPA, which was not read; data is processed in the United States (5 of 20). 15+15+8+5 = 43.", "b": "Closed service with terms naming FullEnrich Corp. The skills and registry repo is MIT (15). The privacy policy (updated 20 August 2026, per the 1 October check) gives retention periods (3 years from last contact for prospects, 25 months for service improvement), legal bases and SCC or DPF transfers, and points rights requests to support@fullenrich.com. It doesn't say whether people returned by enrichment are covered, and the trust page says enrichment uses data providers it doesn't name, most acting as independent controllers. An opt-out page exists at fullenrich.com/optout (18 of 30). v1 and v2 APIs run side by side with no dated deprecation found (3 of 20). A sub-processor list is published, and the trust page now states that the hosting provider, DigitalOcean, hosts data in the European Union, with transfers outside the EEA disclosed (20 of 20; was 14 with hosting locations not stated). 15+18+3+20 = 56." }, "scores": { "a": 55, "b": 68 } }, { "by": 10, "category": "security", "leads": "fullenrich", "name": "Security \u0026 auth", "reasons": { "a": "A workspace API key in a header, never in the URL, and OAuth on the MCP with a Connected apps page to revoke access. No scopes found (20 of 30). No read-only key; MCP balance checks and confirmation above 50 credits, a 30-day trash for workbooks and tables, but row, column and table deletes through the tools (12 of 20). Enrichment results include web-scraped and AI researcher text, with no prompt-injection guidance (3 of 15). Credit usage charts, transaction logs and per-request data logs (12 of 15). No security.txt, disclosure policy, bug bounty or certification found (0 of 20). 20+12+3+12+0 = 47.", "b": "Bearer API key for REST, no scopes found. The MCP signs in with OAuth and holds no static secret in the client. Webhooks are signed with HMAC-SHA1 keyed with the API key itself (20 of 30). The MCP isn't read-only, and confirmation before enrichment is recommended but left to the client. Workspace admins can set monthly credit limits per member, which block further credit-consuming MCP actions, and the skills add a confirmation before any sequencer change and honour opt-out and do-not-contact signals (10 of 20). Results are mostly structured contact fields (8 of 15). A free credits endpoint, and per-member usage views that include MCP activity, no per-call log found (7 of 15; was 5, aligned with people-data-labs' usage view). SOC 2 Type 2 per the trust page, with the report on request, vulnerability reports to support@fullenrich.com per the repository's SECURITY.md, security.txt 404 on 4 November, no bug bounty (12 of 20, as people-data-labs). 20+10+8+7+12 = 57." }, "scores": { "a": 47, "b": 57 } }, { "by": 8, "category": "schema", "leads": "databar", "name": "Schema \u0026 documentation", "reasons": { "a": "Each API reference page embeds its OpenAPI 3.1 operation (spec version 0.1.2), with no downloadable file found (20 of 25). llms.txt with 79 API entries and Markdown twins (10). Descriptions say when to use each endpoint, such as headless runs against table runs, and what a delete leaves behind (16 of 20). Typed request bodies with required fields (12 of 15). An error envelope with stable codes and examples for 400, 406 and 422 (14 of 15). v1 paths and a dated changelog, though the API's own versioning isn't described (12 of 15). 20+10+16+12+14+12 = 84.", "b": "OpenAPI file for v2 at docs.fullenrich.com/api/v2/reference/openapi.yaml (version 2.0.0, eight paths, Last-Modified 3 November 2026), with a v1 file alongside (25). llms.txt with 34 links and Markdown twins (10). The MCP keeps tool descriptions short on purpose and moves workflow guidance into separate skills, so a client without skills gets less of it (12 of 20). Typed inputs, with helper tools that list valid industry, seniority and function codes (12 of 15). Test contacts that cost 0 credits and signed webhook examples. The OpenAPI file gives 400, 401, 402, 404 and 429 responses with a `code` and `message` schema and named examples such as `error.enrichment.first_name.empty` and `error.rate.limit`, though the docs have no separate error page (12 of 15; was 8, the 1 October check found no error reference). v1 and v2 paths. The public product changelog stopped at 30 November 2024 per the 1 October check and answered 400 \"Invalid page\" on 4 November, and only the MCP package has a current CHANGELOG (5 of 15). 25+10+12+12+12+5 = 76." }, "scores": { "a": 84, "b": 76 } }, { "by": 5, "category": "payments", "leads": "fullenrich", "name": "Payments \u0026 pricing", "reasons": { "a": "No x402, MPP or L402 (0). Plan prices and credits are public, and each connector's credit cost is shown before a run and in the enrichment's pricing field; credits aren't sold per call outside a plan (15 of 20). A 14-day premium trial with no card, per the pricing FAQ (20). A person signs up in a browser, and API access needs a paid plan (0). 0+15+20+0 = 35.", "b": "No x402, MPP or L402 (0). Per-unit credit costs and plan prices are public, on the pricing page and its Markdown twin, 1 credit a work email, 3 a personal email, 10 a mobile, 0.25 a search result, Pro from $29 a month for 500 credits ($55 for 1,000) (20). 50 trial credits with no card, API and MCP included (20). A person signs up in a browser (0). 0+20+20+0 = 40." }, "scores": { "a": 35, "b": 40 } } ], "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Databar, Inc.", "b": "FullEnrich", "name": "Vendor" }, { "a": "https://mcp.databar.ai/mcp", "b": "https://app.fullenrich.com/api/v2", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP, SSE (legacy)", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Paid", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary, under Databar, Inc.'s terms of service", "b": "none", "name": "Licence" }, { "a": "69", "b": "13", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.github.FullEnrich/fullenrich", "name": "MCP registry" }, { "a": "2026-10-30", "b": "2026-08-27", "name": "Last release" }, { "a": "2026-10-01", "b": "2026-08-20", "name": "Terms last updated" }, { "a": "2026-10-01", "b": "2026-08-20", "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": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "3.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "FullEnrich API + MCP scores 62.2 (B) on agent readiness against Databar's 53.8 (D), and leads in 4 of 7 scored categories. Databar leads on schema \u0026 documentation and maintenance \u0026 community.", "question": "Which is better for AI agents, Databar or FullEnrich API + MCP?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Databar and FullEnrich API + MCP need an API key?" }, { "answer": "Yes. Databar has a hosted endpoint at https://mcp.databar.ai/mcp and FullEnrich API + MCP at https://app.fullenrich.com/api/v2.", "question": "Can an agent call Databar and FullEnrich API + MCP without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 84 against 76", "Maintenance \u0026 community, 73 against 48" ], "also": null, "goodFor": "Waterfall enrichment across many providers for GTM agents, close to clay and fullenrich.", "slug": "databar", "watchFor": "API access needs a paid plan; the free plan's 150 credits don't include it" }, { "aheadOn": [ "Reliability, 70 against 28", "Security \u0026 auth, 57 against 47", "Payments \u0026 pricing, 40 against 35", "Transparency \u0026 trust, 68 against 55" ], "also": null, "goodFor": "Maximising find rate on known contacts, especially mobiles, without a long-term contract.", "slug": "fullenrich", "watchFor": "Enrichment sources are data providers the vendor doesn't name" } ], "history": { "databar": null, "fullenrich": [ { "causes": [ "evidence", "correction" ], "date": "2026-11-04", "delta": 2.5, "from": 59.7, "fromGrade": "C", "to": 62.2, "toGrade": "B" }, { "causes": [ "evidence" ], "date": "2026-10-28", "delta": 0.1, "from": 59.6, "fromGrade": "C", "to": 59.7, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.2, "from": 59.8, "fromGrade": "C", "to": 59.6, "toGrade": "C" } ] }, "job": { "capability": "lead.enrichment", "name": "Lead enrichment" }, "others": [ { "json": "https://www.anchorterminal.com/compare/apollo-vs-databar.json", "title": "Apollo API + MCP vs Databar", "url": "https://www.anchorterminal.com/compare/apollo-vs-databar" }, { "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/clay-vs-databar.json", "title": "Clay vs Databar", "url": "https://www.anchorterminal.com/compare/clay-vs-databar" }, { "json": "https://www.anchorterminal.com/compare/clay-vs-fullenrich.json", "title": "Clay vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/clay-vs-fullenrich" }, { "json": "https://www.anchorterminal.com/compare/coresignal-vs-databar.json", "title": "Coresignal API + MCP vs Databar", "url": "https://www.anchorterminal.com/compare/coresignal-vs-databar" }, { "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/crustdata-vs-databar.json", "title": "Crustdata API + MCP vs Databar", "url": "https://www.anchorterminal.com/compare/crustdata-vs-databar" }, { "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/dievio-vs-fullenrich.json", "title": "Dievio vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/dievio-vs-fullenrich" }, { "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/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/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-gojiberry.json", "title": "FullEnrich API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry" }, { "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-people-data-labs.json", "title": "FullEnrich API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs" }, { "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/fullenrich-vs-rocketreach.json", "title": "FullEnrich API + MCP vs RocketReach API", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-rocketreach" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.json", "title": "FullEnrich API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/clearbit-vs-databar.json", "title": "Clearbit vs Databar", "url": "https://www.anchorterminal.com/compare/clearbit-vs-databar" }, { "json": "https://www.anchorterminal.com/compare/clearbit-vs-fullenrich.json", "title": "Clearbit vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/clearbit-vs-fullenrich" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-dievio.json", "title": "Databar vs Dievio", "url": "https://www.anchorterminal.com/compare/databar-vs-dievio" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-dropcontact.json", "title": "Databar vs Dropcontact API + MCP", "url": "https://www.anchorterminal.com/compare/databar-vs-dropcontact" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-enrich-layer.json", "title": "Databar vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/databar-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-explorium-agentsource.json", "title": "Databar vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/databar-vs-explorium-agentsource" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-fullcontact.json", "title": "Databar vs FullContact", "url": "https://www.anchorterminal.com/compare/databar-vs-fullcontact" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-fuse-mcp.json", "title": "Databar vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/databar-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-gojiberry.json", "title": "Databar vs Gojiberry", "url": "https://www.anchorterminal.com/compare/databar-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-hunter.json", "title": "Databar vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/databar-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-leadmagic.json", "title": "Databar vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/databar-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-lusha.json", "title": "Databar vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/databar-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-people-data-labs.json", "title": "Databar vs People Data Labs", "url": "https://www.anchorterminal.com/compare/databar-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-prospeo.json", "title": "Databar vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/databar-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-rocketreach.json", "title": "Databar vs RocketReach API", "url": "https://www.anchorterminal.com/compare/databar-vs-rocketreach" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-zerobounce.json", "title": "Databar vs ZeroBounce", "url": "https://www.anchorterminal.com/compare/databar-vs-zerobounce" }, { "json": "https://www.anchorterminal.com/compare/databar-vs-zoominfo.json", "title": "Databar vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/databar-vs-zoominfo" }, { "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/fullcontact-vs-fullenrich.json", "title": "FullContact vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/fullcontact-vs-fullenrich" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-zerobounce.json", "title": "FullEnrich API + MCP vs ZeroBounce", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-zerobounce" } ], "panel": null, "scores": [ { "by": 42, "databar": 28, "edge": "fullenrich", "fullenrich": 70, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "databar": 84, "edge": "databar", "fullenrich": 76, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 0, "databar": 66, "edge": "", "fullenrich": 66, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 10, "databar": 47, "edge": "fullenrich", "fullenrich": 57, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 5, "databar": 35, "edge": "fullenrich", "fullenrich": 40, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 25, "databar": 73, "edge": "databar", "fullenrich": 48, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 13, "databar": 55, "edge": "fullenrich", "fullenrich": 68, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "FullEnrich API + MCP scores 62.2 (B) on agent readiness against Databar's 53.8 (D), and leads in 4 of 7 scored categories. Databar leads on schema \u0026 documentation and maintenance \u0026 community. Both do lead enrichment.", "tasks": null, "tutorials": [], "verdicts": { "databar": "Databar puts 100+ enrichment providers, waterfalls and tables behind one REST API, a Python SDK, a CLI and a hosted MCP server with spending confirmation above 50 credits and stable error codes. API access needs a paid plan or trial, rate limits aren't published as numbers, and no status page or security programme was found.", "fullenrich": "Credits are spent only on found data, identical re-runs within 3 months are free, and the v2 OpenAPI documents error codes per operation. The status page covers only the web app, no MCP release since 27 August changed more than packaging, and the enrichment data providers aren't named." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/databar-vs-fullenrich", "json": "https://www.anchorterminal.com/compare/databar-vs-fullenrich.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/databar-vs-fullenrich.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/databar-vs-fullenrich.min.md" }, "markdown": "FullEnrich API + MCP scores 62.2 (B) on agent readiness against Databar's 53.8 (D), and leads in 4 of 7 scored categories. Databar leads on schema \u0026 documentation and maintenance \u0026 community. Both do lead enrichment.\n\n- Databar: grade D, 53.8/100, rank #933 of 1486. Markdown https://www.anchorterminal.com/tools/databar.md · JSON https://www.anchorterminal.com/api/v1/tools/databar.json\n- FullEnrich API + MCP: grade B, 62.2/100, rank #565 of 1486. Markdown https://www.anchorterminal.com/tools/fullenrich.md · JSON https://www.anchorterminal.com/api/v1/tools/fullenrich.json\n- Best lead, contact and company data APIs for AI agents: https://www.anchorterminal.com/best/lead-data/index.md\n- All 231 leads comparisons: https://www.anchorterminal.com/compare/lead-data/index.md\n\n## Which one, for what\n\n### Databar (D)\n\nGood for: Waterfall enrichment across many providers for GTM agents, close to clay and fullenrich.\n\nAhead on:\n- Schema \u0026 documentation, 84 against 76\n- Maintenance \u0026 community, 73 against 48\n\nWatch for: API access needs a paid plan; the free plan's 150 credits don't include it\n\n### FullEnrich API + MCP (B)\n\nGood for: Maximising find rate on known contacts, especially mobiles, without a long-term contract.\n\nAhead on:\n- Reliability, 70 against 28\n- Security \u0026 auth, 57 against 47\n- Payments \u0026 pricing, 40 against 35\n- Transparency \u0026 trust, 68 against 55\n\nWatch for: Enrichment sources are data providers the vendor doesn't name\n\n\n## Why the edge\n\n### Reliability: FullEnrich API + MCP +42\n\n- Databar (28): Hosted lines. No status page linked from the site or docs (0). No incident history to read (5). The 20 August changelog says rate limits return 429, but no numbers were found in the docs read (5 of 15). The SDK backs off on 429 per the 28 September entry, tasks can be cancelled with a refund, and no Retry-After or idempotency key is documented (8 of 15). No SLA found (0). The MCP server left beta on 15 July 2026 and the API is generally available (10). 0+5+5+8+0+10 = 28.\n- FullEnrich API + MCP (70): Better Stack status page, but with one component (app.fullenrich.com/app) and none for the API or MCP (15 of 20). Its incident history, read on 4 November month by month from December 2025 to November 2026, says \"No incidents reported\" for every month, so the page has never posted an incident in the history we read (20, this run's value for a never-posted page; was 15 with the history unread). The monitor bar shows uptime figures of 100 and 99.983 per cent across its 30 to 90 day views, with no incident posted. 60 calls a minute on every endpoint, 100 contacts a bulk and 100 concurrent enrichments per workspace (15). The v2 OpenAPI documents a 429 on six operations with code `error.rate.limit` and the message \"Too many requests. Try again in 1m\", and identical re-submissions within 3 months aren't charged again, but there is no safe-retry guidance for writes (10 of 15; was 5). No SLA found (0). Generally available, no beta label on the API or MCP (10). 15+20+15+10+0+10 = 70.\n\n### Maintenance \u0026 community: Databar +25\n\n- Databar (73): Closed service. Python SDK 2.9.0 on 30 October 2026, 7 days before this check (30). SDK 2.7.0 and 2.8.0 on 6 October and changelog entries on 23, 24, 27, 28, 29 and 30 September and 1 October (20). A public changelog, roadmap and feedback portal, an email address, and a Slack channel on Scale (10 of 15). An official Python SDK and CLI, no other languages (10 of 15). Package health not checked (3 of 10). 30+20+10+10+3 = 73.\n- FullEnrich API + MCP (48): Every dated source of the vendor's own was looked for, in the MCP and skills repository (tags and CHANGELOG), the product changelog (answered 400 on 4 November; newest entry 30 November 2024 per the 1 October check), the docs (no changelog page; the OpenAPI file's Last-Modified date records no listed change). 1.0.4 on 27 August 2026 only links the repository from `server.json` and corrects the README, a packaging release that counts half and can't set recency. 1.0.2 (10 August) rewrote the full-crm skill's description and steps as well as adding the portable package, and 1.0.3 on 11 August changed skill behaviour (opt-out signals, a confirmation before sequencer changes), so both count in full. The newest of them, 1.0.3, is 85 days back (20). From 6 August, 1.0.2 and 1.0.3 in full and 1.0.4 at half make 2.5, under three (0; was 20). Support by email and help centre (6 of 15). Listed in the official MCP registry as io.github.FullEnrich/fullenrich, a GitHub-verified namespace (15). The skills repo has tests and a version-locked publish workflow (7 of 10). 20+0+6+15+7 = 48.\n\n### Transparency \u0026 trust: FullEnrich API + MCP +13\n\n- Databar (55): Closed service with terms effective 1 October 2026 naming Databar, Inc. of Delaware (15 of 30). The privacy policy keeps data 'for as long as needed' with no periods; the docs give 24 hours for task results; a DPA is part of the agreement but was not read (15 of 30). The changelog flagged breaking API and SDK changes on 20 August 2026, and the terms let Databar retire any form of programmatic access; no notice period stated (8 of 20). Sub-processors are disclosed under the DPA, which was not read; data is processed in the United States (5 of 20). 15+15+8+5 = 43.\n- FullEnrich API + MCP (68): Closed service with terms naming FullEnrich Corp. The skills and registry repo is MIT (15). The privacy policy (updated 20 August 2026, per the 1 October check) gives retention periods (3 years from last contact for prospects, 25 months for service improvement), legal bases and SCC or DPF transfers, and points rights requests to support@fullenrich.com. It doesn't say whether people returned by enrichment are covered, and the trust page says enrichment uses data providers it doesn't name, most acting as independent controllers. An opt-out page exists at fullenrich.com/optout (18 of 30). v1 and v2 APIs run side by side with no dated deprecation found (3 of 20). A sub-processor list is published, and the trust page now states that the hosting provider, DigitalOcean, hosts data in the European Union, with transfers outside the EEA disclosed (20 of 20; was 14 with hosting locations not stated). 15+18+3+20 = 56.\n\n### Security \u0026 auth: FullEnrich API + MCP +10\n\n- Databar (47): A workspace API key in a header, never in the URL, and OAuth on the MCP with a Connected apps page to revoke access. No scopes found (20 of 30). No read-only key; MCP balance checks and confirmation above 50 credits, a 30-day trash for workbooks and tables, but row, column and table deletes through the tools (12 of 20). Enrichment results include web-scraped and AI researcher text, with no prompt-injection guidance (3 of 15). Credit usage charts, transaction logs and per-request data logs (12 of 15). No security.txt, disclosure policy, bug bounty or certification found (0 of 20). 20+12+3+12+0 = 47.\n- FullEnrich API + MCP (57): Bearer API key for REST, no scopes found. The MCP signs in with OAuth and holds no static secret in the client. Webhooks are signed with HMAC-SHA1 keyed with the API key itself (20 of 30). The MCP isn't read-only, and confirmation before enrichment is recommended but left to the client. Workspace admins can set monthly credit limits per member, which block further credit-consuming MCP actions, and the skills add a confirmation before any sequencer change and honour opt-out and do-not-contact signals (10 of 20). Results are mostly structured contact fields (8 of 15). A free credits endpoint, and per-member usage views that include MCP activity, no per-call log found (7 of 15; was 5, aligned with people-data-labs' usage view). SOC 2 Type 2 per the trust page, with the report on request, vulnerability reports to support@fullenrich.com per the repository's SECURITY.md, security.txt 404 on 4 November, no bug bounty (12 of 20, as people-data-labs). 20+10+8+7+12 = 57.\n\n### Schema \u0026 documentation: Databar +8\n\n- Databar (84): Each API reference page embeds its OpenAPI 3.1 operation (spec version 0.1.2), with no downloadable file found (20 of 25). llms.txt with 79 API entries and Markdown twins (10). Descriptions say when to use each endpoint, such as headless runs against table runs, and what a delete leaves behind (16 of 20). Typed request bodies with required fields (12 of 15). An error envelope with stable codes and examples for 400, 406 and 422 (14 of 15). v1 paths and a dated changelog, though the API's own versioning isn't described (12 of 15). 20+10+16+12+14+12 = 84.\n- FullEnrich API + MCP (76): OpenAPI file for v2 at docs.fullenrich.com/api/v2/reference/openapi.yaml (version 2.0.0, eight paths, Last-Modified 3 November 2026), with a v1 file alongside (25). llms.txt with 34 links and Markdown twins (10). The MCP keeps tool descriptions short on purpose and moves workflow guidance into separate skills, so a client without skills gets less of it (12 of 20). Typed inputs, with helper tools that list valid industry, seniority and function codes (12 of 15). Test contacts that cost 0 credits and signed webhook examples. The OpenAPI file gives 400, 401, 402, 404 and 429 responses with a `code` and `message` schema and named examples such as `error.enrichment.first_name.empty` and `error.rate.limit`, though the docs have no separate error page (12 of 15; was 8, the 1 October check found no error reference). v1 and v2 paths. The public product changelog stopped at 30 November 2024 per the 1 October check and answered 400 \"Invalid page\" on 4 November, and only the MCP package has a current CHANGELOG (5 of 15). 25+10+12+12+12+5 = 76.\n\n### Payments \u0026 pricing: FullEnrich API + MCP +5\n\n- Databar (35): No x402, MPP or L402 (0). Plan prices and credits are public, and each connector's credit cost is shown before a run and in the enrichment's pricing field; credits aren't sold per call outside a plan (15 of 20). A 14-day premium trial with no card, per the pricing FAQ (20). A person signs up in a browser, and API access needs a paid plan (0). 0+15+20+0 = 35.\n- FullEnrich API + MCP (40): No x402, MPP or L402 (0). Per-unit credit costs and plan prices are public, on the pricing page and its Markdown twin, 1 credit a work email, 3 a personal email, 10 a mobile, 0.25 a search result, Pro from $29 a month for 500 credits ($55 for 1,000) (20). 50 trial credits with no card, API and MCP included (20). A person signs up in a browser (0). 0+20+20+0 = 40.\n\n## Score by category\n\n| Category | Weight | Databar | FullEnrich API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 28 | 70 | FullEnrich API + MCP +42 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 84 | 76 | Databar +8 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 66 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 47 | 57 | FullEnrich API + MCP +10 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | FullEnrich API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 73 | 48 | Databar +25 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 55 | 68 | FullEnrich API + MCP +13 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **53.8 · D** | **62.2 · B** | |\n\n## Facts side by side\n\n| Fact | Databar | FullEnrich API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Databar, Inc. | FullEnrich |\n| Hosted endpoint | `https://mcp.databar.ai/mcp` | `https://app.fullenrich.com/api/v2` |\n| Transports | HTTP, Streamable HTTP, SSE (legacy) | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Paid | Freemium |\n| x402 | no | no |\n| Licence | Proprietary, under Databar, Inc.'s terms of service | none |\n| Tools exposed | 69 | 13 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.FullEnrich/fullenrich` |\n| Last release | 2026-10-30 | 2026-08-27 |\n| Terms last updated | 2026-10-01 | 2026-08-20 |\n| Privacy policy last updated | 2026-10-01 | 2026-08-20 |\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 | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | yes |\n| Agent reviews | none | 3.5/5 (2) |\n\n## How the scores have moved\n\n### Databar\n\nNo score change since it was listed.\n\n### FullEnrich API + MCP\n\n- +2.5 on 4 November 2026 (C to B): new evidence, correction\n- +0.1 on 28 October 2026: new evidence\n- -0.2 on 8 October 2026: checklist\n\n## Verdicts\n\n**Databar.** Databar puts 100+ enrichment providers, waterfalls and tables behind one REST API, a Python SDK, a CLI and a hosted MCP server with spending confirmation above 50 credits and stable error codes. API access needs a paid plan or trial, rate limits aren't published as numbers, and no status page or security programme was found.\n\n**FullEnrich API + MCP.** Credits are spent only on found data, identical re-runs within 3 months are free, and the v2 OpenAPI documents error codes per operation. The status page covers only the web app, no MCP release since 27 August changed more than packaging, and the enrichment data providers aren't named.\n\n## Before you call either\n\n### Databar\n\n1. Poll GET /v1/tasks/{task_id} for async runs and collect results within 24 hours; after that the task returns gone\n2. When the MCP returns confirmation_required, show estimated_credits to the user and re-call with the retry_with object only after they agree\n3. Use upsert with a key column, and pass internal_version when editing flows, to avoid duplicates and stale-write 409s\n4. Check credits with GET /v1/user/me before bulk runs; 406 means the balance or plan can't cover it\n5. Treat AI researcher and scraped outputs as untrusted text\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\n6. On a 429 with `error.rate.limit`, wait a minute before retrying. The limit is 60 calls a minute on every endpoint\n\n## Questions\n\n### Which is better for AI agents, Databar or FullEnrich API + MCP?\n\nFullEnrich API + MCP scores 62.2 (B) on agent readiness against Databar's 53.8 (D), and leads in 4 of 7 scored categories. Databar leads on schema \u0026 documentation and maintenance \u0026 community.\n\n### Do Databar and FullEnrich API + MCP need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Databar and FullEnrich API + MCP without installing anything?\n\nYes. Databar has a hosted endpoint at https://mcp.databar.ai/mcp and FullEnrich API + MCP at https://app.fullenrich.com/api/v2.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/databar-vs-fullenrich.json, and with the fewest tokens: https://www.anchorterminal.com/compare/databar-vs-fullenrich.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"databar\", \"b\": \"fullenrich\"}`. From a terminal: `anchor compare databar fullenrich`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/databar.json and https://www.anchorterminal.com/api/v1/tools/fullenrich.json\n\n## Other comparisons with Databar or FullEnrich API + MCP\n\n- [Apollo API + MCP vs Databar](https://www.anchorterminal.com/compare/apollo-vs-databar.md)\n- [Apollo API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/apollo-vs-fullenrich.md)\n- [Clay vs Databar](https://www.anchorterminal.com/compare/clay-vs-databar.md)\n- [Clay vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/clay-vs-fullenrich.md)\n- [Coresignal API + MCP vs Databar](https://www.anchorterminal.com/compare/coresignal-vs-databar.md)\n- [Coresignal API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-fullenrich.md)\n- [Crustdata API + MCP vs Databar](https://www.anchorterminal.com/compare/crustdata-vs-databar.md)\n- [Crustdata API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-fullenrich.md)\n- [Dievio vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/dievio-vs-fullenrich.md)\n- [Enrich Layer API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.md)\n- [Explorium AgentSource vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich.md)\n- [FullEnrich API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/fullenrich-vs-fuse-mcp.md)\n- [FullEnrich API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.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 People Data Labs](https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.md)\n- [FullEnrich API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.md)\n- [FullEnrich API + MCP vs RocketReach API](https://www.anchorterminal.com/compare/fullenrich-vs-rocketreach.md)\n- [FullEnrich API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.md)\n- [Clearbit vs Databar](https://www.anchorterminal.com/compare/clearbit-vs-databar.md)\n- [Clearbit vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/clearbit-vs-fullenrich.md)\n- [Databar vs Dievio](https://www.anchorterminal.com/compare/databar-vs-dievio.md)\n- [Databar vs Dropcontact API + MCP](https://www.anchorterminal.com/compare/databar-vs-dropcontact.md)\n- [Databar vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/databar-vs-enrich-layer.md)\n- [Databar vs Explorium AgentSource](https://www.anchorterminal.com/compare/databar-vs-explorium-agentsource.md)\n- [Databar vs FullContact](https://www.anchorterminal.com/compare/databar-vs-fullcontact.md)\n- [Databar vs Fuse MCP](https://www.anchorterminal.com/compare/databar-vs-fuse-mcp.md)\n- [Databar vs Gojiberry](https://www.anchorterminal.com/compare/databar-vs-gojiberry.md)\n- [Databar vs Hunter API + MCP](https://www.anchorterminal.com/compare/databar-vs-hunter.md)\n- [Databar vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/databar-vs-leadmagic.md)\n- [Databar vs Lusha API + MCP](https://www.anchorterminal.com/compare/databar-vs-lusha.md)\n- [Databar vs People Data Labs](https://www.anchorterminal.com/compare/databar-vs-people-data-labs.md)\n- [Databar vs Prospeo API + MCP](https://www.anchorterminal.com/compare/databar-vs-prospeo.md)\n- [Databar vs RocketReach API](https://www.anchorterminal.com/compare/databar-vs-rocketreach.md)\n- [Databar vs ZeroBounce](https://www.anchorterminal.com/compare/databar-vs-zerobounce.md)\n- [Databar vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/databar-vs-zoominfo.md)\n- [Dropcontact API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-fullenrich.md)\n- [FullContact vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/fullcontact-vs-fullenrich.md)\n- [FullEnrich API + MCP vs ZeroBounce](https://www.anchorterminal.com/compare/fullenrich-vs-zerobounce.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Databar vs FullEnrich API + MCP", "url": "" } ], "description": "FullEnrich scores 62.2 (B) to Databar's 53.8 (D) for lead enrichment. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Databar D 53.8", "FullEnrich API + MCP B 62.2", "scores" ], "h1": "Databar vs FullEnrich API + MCP", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/databar-vs-fullenrich", "published": "2026-10-01", "section": "tools", "title": "Databar vs FullEnrich for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/databar-vs-fullenrich" }, "tokens": { "markdown": 5150, "slim": 2830 }, "version": 1 }