{ "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": "Enrich Layer API + MCP scores 58.7 (C) on agent readiness against Databar's 53.8 (D), and leads in 4 of 7 scored categories. Databar leads on schema \u0026 documentation, security \u0026 auth and maintenance \u0026 community.", "b": { "slug": "enrich-layer", "name": "Enrich Layer API + MCP", "vendor": "Enrich Layer", "vendorUrl": "https://enrichlayer.com", "kind": "http-api", "category": "lead-data", "summary": "Professional profile, company, job, school and contact lookups with person and company search, built on the old Proxycurl endpoint set after Proxycurl shut down in July 2025.", "url": "https://www.anchorterminal.com/tools/enrich-layer", "markdownUrl": "https://www.anchorterminal.com/tools/enrich-layer.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/enrich-layer.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/enrich-layer.json", "dns": "enrich-layer.grade.anchorterminal.com", "repo": "https://github.com/enrichlayer/mcp-server", "license": "MIT", "transports": [ "http", "stdio" ], "remoteUrl": "https://enrichlayer.com/api/v2", "packages": [ { "registry": "npm", "name": "@enrichlayer/mcp-server" } ], "auth": "api-key", "authNotes": "Bearer API key in the Authorization header, one secret key per user from the dashboard. The MCP server reads ENRICH_LAYER_API_KEY from the environment.", "pricing": "usage", "pricingNotes": "500 free credits at sign-up. Pay-as-you-go packs from $10 for 100 credits ($0.10 a credit) to $1,000 for 46,297 ($0.0216), and credits don't expire unless the account is idle for 18 months. Annual plans from Starter at $588 a year (30,000 credits plus 5,000 bonus) to Ultra at $22,788 a year. A person or company profile costs 1 credit, a work email 3, person search 3 per result, and premium fields and live fetches add more (https://enrichlayer.com/pricing).", "priceSummary": "$0.10 / credit", "where": "both", "x402": { "level": "no", "endpoints": [] }, "toolCount": 25, "popularity": { "githubStars": 0, "npmWeekly": 26, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://enrichlayer.com/docs", "llmsTxt": "https://enrichlayer.com/llms.txt", "openapi": "https://enrichlayer.com/docs/api/v2/openapi.yaml", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.person", "data.company" ], "tags": [ "hosted", "no-card", "mcp", "llms-txt", "openapi", "webhooks", "typescript", "lead-search", "enrichment" ], "lastRelease": "2026-06-19", "graded": true, "anchor": { "graded": true, "score": 58.7, "grade": "C", "agentReady": false, "rank": 731, "ranked": true, "rankOf": 1486, "categoryRank": 10, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 26, "payments": 40, "reliability": 77, "schema": 79, "security": 40, "transparency": 59 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-04" }, "negative": 0, "verdict": "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months, with an OpenAPI spec and documented error codes. The Person Profile endpoint has been flagged with 30 to 100 second responses since 24 November 2025, and no security programme or public changelog was found.", "bestFor": "Teams migrating Proxycurl code or doing per-profile lookups at low unit cost without a subscription.", "strengths": [ "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months", "500 free credits at sign-up, and the CLI page says no credit card is needed", "OpenAPI 3.0 spec with credit costs per operation, and MCP tool schemas checked against it in CI", "The agents page lists each error code with the action to take", "All 25 MCP tools carry readOnlyHint, and a status page has a component per endpoint" ], "weaknesses": [ "Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses", "Trial accounts limited to 2 requests a minute until the first top-up", "No security.txt, disclosure policy, bug bounty or certification", "No public changelog, and no MCP release since June 2026", "The trust centre and privacy policy list different sub-processors, and the policy gives no retention periods" ], "agentNotes": [ "Top up once before testing. Trial keys run at 2 requests a minute", "Set the person profile timeout to at least 100 seconds", "Stop on a 403, which means the account is out of credits, and retry a 503 as is", "Ask for `extra`, personal emails or phone numbers only when needed, since each adds credits", "Use `callback_url` on slow lookups such as work email instead of holding the connection" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 58.7 } ], "editorialScores": { "ergonomics": 68, "maintenance": 26, "payments": 40, "reliability": 77, "schema": 79, "security": 40, "transparency": 53 }, "provenanceScore": 65, "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 -G https://enrichlayer.com/api/v2/credit-balance -H \"Authorization: Bearer $ENRICH_LAYER_API_KEY\"", "claudeCode": "claude mcp add enrich-layer -e ENRICH_LAYER_API_KEY=$ENRICH_LAYER_API_KEY -- npx -y @enrichlayer/mcp-server", "config": { "mcpServers": { "enrich-layer": { "args": [ "-y", "@enrichlayer/mcp-server" ], "command": "npx", "env": { "ENRICH_LAYER_API_KEY": "${ENRICH_LAYER_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/enrich-layer" }, "area": "web-data", "unitPrices": [ { "item": "Credit, $10 pack", "unit": "credit", "usd": 0.1, "note": "100 credits; one credit buys a person or company profile" }, { "item": "Credit, $1,000 pack", "unit": "credit", "usd": 0.0216, "note": "46,297 credits" }, { "item": "Starter plan", "unit": "month", "usd": 49, "note": "billed yearly at $588, 30,000 credits a year plus 5,000 bonus" }, { "item": "Growth plan", "unit": "month", "usd": 299, "note": "billed yearly at $3,588, 300,000 credits a year plus 50,000 bonus" } ], "provenance": { "legalEntity": "Vertical Int, Inc.", "domain": "enrichlayer.com", "domainRegistered": "2025-04-05", "endpointOnVendorDomain": true, "terms": "https://enrichlayer.com/terms-of-use", "privacy": "https://enrichlayer.com/privacy-policy", "statusPage": "https://status.enrichlayer.com", "changelog": "", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Domain registered in April 2025, three months before Proxycurl shut down. The terms name Vertical Int, Inc. (Wyoming) with an address in Orinda, California, and don't mention Nubela or Proxycurl." ], "score": 65 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/enrich-layer.json", "live": { "slug": "enrich-layer", "probe": { "target": "https://enrichlayer.com/api/v2", "method": "get", "lastAt": "2026-11-07T18:20:23.06713457Z", "lastOk": true, "lastStatus": 404, "lastMs": 361, "authRequired": false, "uptime24h": 100, "uptime30d": 99.97, "p50ms24h": 296, "p95ms24h": 505, "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": 246 }, { "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": 249 }, { "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.enrichlayer.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-07T04:47:43.656247371Z" }, "versions": [ { "registry": "npm", "name": "@enrichlayer/mcp-server", "version": "0.3.0", "seenAt": "2026-11-06T23:24:12.481046259Z" } ], "githubStars": 0, "npmWeekly": 18, "securityTxt": { "url": "https://enrichlayer.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:27.690901635Z" }, "llmsTxt": { "url": "https://enrichlayer.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:25.295938355Z" }, "domain": { "domain": "enrichlayer.com", "registered": "2025-04-05", "source": "https://rdap.verisign.com/com/v1/domain/enrichlayer.com", "checkedAt": "2026-11-01T14:21:01.064999604Z" }, "pages": [ { "url": "https://nubela.co/blog/goodbye-proxycurl/", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:15:09.977417306Z", "changedAt": "2026-10-26T03:20:53.062014582Z", "fingerprint": "9f50f81ac82b" }, { "url": "https://enrichlayer.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:09:18.143525474Z", "changedAt": "2026-10-12T19:51:51.866946175Z", "fingerprint": "01f2b576ea52" }, { "url": "https://enrichlayer.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:09:20.494333393Z", "changedAt": "2026-10-12T19:51:54.261170772Z", "fingerprint": "cef1f1fd7478" }, { "url": "https://enrichlayer.com/terms-of-use", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:09:22.551515004Z", "changedAt": "2026-10-12T19:51:56.342968624Z", "fingerprint": "12e8424f3b70" } ], "github": { "repo": "enrichlayer/mcp-server", "checkedAt": "2026-11-02T08:46:34.293395715Z", "stars": 0, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-26T16:35:50Z", "openIssues": 0, "openPRs": 1, "issuesOpened90d": 0, "issuesClosed90d": 0, "prsMerged90d": 1, "ci": { "branch": "main", "runs": 3, "success": 3, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-08-11T09:06:38Z" } }, "updatedAt": "2026-11-07T18:20:23.06713457Z" } }, "edges": [ { "by": 49, "category": "reliability", "leads": "enrich-layer", "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": "Cachet status page at status.enrichlayer.com with a component per endpoint under School, Company, People, Contact, Jobs, Search and Meta, plus Web (20). Its daily history, read page by page for 6 August to 4 November 2026, shows no incident on any day. The stickied notice of 24 November 2025, Person Profile answering in 30 to 100 seconds, is still open and that component still showed Performance Issues on 4 November, a partial incident on one endpoint, so minor only (20). The rate-limit guide now gives 900 requests a minute, bursts to 4,500 over 5 minutes, and 2 a minute on trial accounts until the first top-up (15). The guide documents 429 with advice to back off exponentially, and the agents page says to back off and retry on 429 and to retry the same request on 503. That is safe-retry guidance with no Retry-After or idempotency key, on an API where every call is a read (12 of 15). No SLA found (0). Generally available, with a v3 preview for two endpoints alongside (10)." }, "scores": { "a": 28, "b": 77 } }, { "by": 47, "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": "Newest MCP release 0.3.0, tagged on 12 June and published to npm on 19 June 2026 per the 1 October check, 138 days before this check (10). The last commits, on 10 and 11 August 2026, haven't been released. No release or dated changelog entry found from 6 August to 4 November (0). Release dates of the `enrichlayer-cli` npm package couldn't be read. Four merged pull requests since March 2026 and no public changelog. We couldn't see issue replies from git (8 of 25). Not in the official MCP registry and no official SDKs found (0). CI runs build, tests and an OpenAPI conformance check, and dependencies are recent (8 of 10)." }, "scores": { "a": 73, "b": 26 } }, { "by": 7, "category": "security", "leads": "databar", "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": "One secret key per user, sent as a bearer token. We found no scopes or key rotation docs. The hosted MCP server takes the same key at an OAuth consent screen (15 of 30). The API only reads, and the MCP marks all 25 tools read-only (18 of 20). Profiles carry free text written by the people they describe, and we found no prompt-injection guidance (2 of 15). A free credit-balance endpoint and nothing more for per-call visibility (5 of 15). No security.txt, disclosure policy, bug bounty or certification. The trust centre covers privacy rights and sub-processors only, and the privacy policy says SOC 2 is under consideration. OSV lists no advisory (0 of 20)." }, "scores": { "a": 47, "b": 40 } }, { "by": 5, "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 3.0 file at enrichlayer.com/docs/api/v2/openapi.yaml, with a JSON twin and `x-credits` per operation. The MCP repo vendors a 408 kB copy and its CI fails any tool that drifts from it (25). llms.txt and an agents page in Markdown (10). MCP tool descriptions state what each returns, which identifier to pass and the credit cost, but not when to pick one tool over another (14 of 20). Zod schemas with enums for include and exclude flags and cache modes (13 of 15). Examples in the spec, and the agents page lists 401, 403, 404, 429 and 503 with what each means, though no error body schema is given (12 of 15). /api/v2 paths and a v3 preview, no public changelog, MCP versions 0.2.0 and 0.3.0 tagged (5 of 15)." }, "scores": { "a": 84, "b": 79 } }, { "by": 5, "category": "payments", "leads": "enrich-layer", "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). Pack prices ($10 for 100 credits to $1,000 for 46,297), annual plans and per-endpoint credit costs are public (20). 500 free credits at signup, and the CLI page says no credit card is needed (20). A person signs up in a browser (0)." }, "scores": { "a": 35, "b": 40 } } ], "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Databar, Inc.", "b": "Enrich Layer", "name": "Vendor" }, { "a": "https://mcp.databar.ai/mcp", "b": "https://enrichlayer.com/api/v2", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP, SSE (legacy)", "b": "HTTP, stdio", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Paid", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary, under Databar, Inc.'s terms of service", "b": "MIT", "name": "Licence" }, { "a": "69", "b": "25", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-30", "b": "2026-06-19", "name": "Last release" }, { "a": "2026-10-01", "b": "2025-06-09", "name": "Terms last updated" }, { "a": "2026-10-01", "b": "2025-06-09", "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": "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": "none", "b": "0 stars, 26 npm/wk", "name": "Popularity" }, { "a": "none", "b": "3/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Enrich Layer API + MCP scores 58.7 (C) on agent readiness against Databar's 53.8 (D), and leads in 4 of 7 scored categories. Databar leads on schema \u0026 documentation, security \u0026 auth and maintenance \u0026 community.", "question": "Which is better for AI agents, Databar or Enrich Layer API + MCP?" }, { "answer": "Databar takes an API key or an OAuth sign-in. Enrich Layer API + MCP needs an API key.", "question": "Do Databar and Enrich Layer API + MCP need an API key?" }, { "answer": "Yes. Databar has a hosted endpoint at https://mcp.databar.ai/mcp and Enrich Layer API + MCP at https://enrichlayer.com/api/v2.", "question": "Can an agent call Databar and Enrich Layer API + MCP without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 84 against 79", "Security \u0026 auth, 47 against 40", "Maintenance \u0026 community, 73 against 26" ], "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, 77 against 28", "Payments \u0026 pricing, 40 against 35" ], "also": [ "Runs on your own machine" ], "goodFor": "Teams migrating Proxycurl code or doing per-profile lookups at low unit cost without a subscription.", "slug": "enrich-layer", "watchFor": "Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses" } ], "history": { "databar": null, "enrich-layer": [ { "causes": [ "evidence" ], "date": "2026-11-04", "delta": 2.9, "from": 55.8, "fromGrade": "C", "to": 58.7, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0, "from": 55.8, "fromGrade": "C", "to": 55.8, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.2, "from": 56, "fromGrade": "C", "to": 55.8, "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-enrich-layer.json", "title": "Apollo API + MCP vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/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-enrich-layer.json", "title": "Clay vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/clay-vs-enrich-layer" }, { "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-enrich-layer.json", "title": "Coresignal API + MCP vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/coresignal-vs-enrich-layer" }, { "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-enrich-layer.json", "title": "Crustdata API + MCP vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/crustdata-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/dievio-vs-enrich-layer.json", "title": "Dievio vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/dievio-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource.json", "title": "Enrich Layer API + MCP vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-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-fuse-mcp.json", "title": "Enrich Layer API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-fuse-mcp" }, { "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/enrich-layer-vs-hunter.json", "title": "Enrich Layer API + MCP vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-leadmagic.json", "title": "Enrich Layer API + MCP vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-lusha.json", "title": "Enrich Layer API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.json", "title": "Enrich Layer API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo.json", "title": "Enrich Layer API + MCP vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-rocketreach.json", "title": "Enrich Layer API + MCP vs RocketReach API", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-rocketreach" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.json", "title": "Enrich Layer API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-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-enrich-layer.json", "title": "Clearbit vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/clearbit-vs-enrich-layer" }, { "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-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-fullenrich.json", "title": "Databar vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/databar-vs-fullenrich" }, { "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-enrich-layer.json", "title": "Dropcontact API + MCP vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullcontact.json", "title": "Enrich Layer API + MCP vs FullContact", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullcontact" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-zerobounce.json", "title": "Enrich Layer API + MCP vs ZeroBounce", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-zerobounce" } ], "panel": null, "scores": [ { "by": 49, "databar": 28, "edge": "enrich-layer", "enrich-layer": 77, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 5, "databar": 84, "edge": "databar", "enrich-layer": 79, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 2, "databar": 66, "edge": "enrich-layer", "enrich-layer": 68, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 7, "databar": 47, "edge": "databar", "enrich-layer": 40, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 5, "databar": 35, "edge": "enrich-layer", "enrich-layer": 40, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 47, "databar": 73, "edge": "databar", "enrich-layer": 26, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 4, "databar": 55, "edge": "enrich-layer", "enrich-layer": 59, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Enrich Layer API + MCP scores 58.7 (C) on agent readiness against Databar's 53.8 (D), and leads in 4 of 7 scored categories. Databar leads on schema \u0026 documentation, security \u0026 auth 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.", "enrich-layer": "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months, with an OpenAPI spec and documented error codes. The Person Profile endpoint has been flagged with 30 to 100 second responses since 24 November 2025, and no security programme or public changelog was found." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/databar-vs-enrich-layer", "json": "https://www.anchorterminal.com/compare/databar-vs-enrich-layer.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/databar-vs-enrich-layer.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/databar-vs-enrich-layer.min.md" }, "markdown": "Enrich Layer API + MCP scores 58.7 (C) on agent readiness against Databar's 53.8 (D), and leads in 4 of 7 scored categories. Databar leads on schema \u0026 documentation, security \u0026 auth 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- Enrich Layer API + MCP: grade C, 58.7/100, rank #731 of 1486. Markdown https://www.anchorterminal.com/tools/enrich-layer.md · JSON https://www.anchorterminal.com/api/v1/tools/enrich-layer.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 79\n- Security \u0026 auth, 47 against 40\n- Maintenance \u0026 community, 73 against 26\n\nWatch for: API access needs a paid plan; the free plan's 150 credits don't include it\n\n### Enrich Layer API + MCP (C)\n\nGood for: Teams migrating Proxycurl code or doing per-profile lookups at low unit cost without a subscription.\n\nAhead on:\n- Reliability, 77 against 28\n- Payments \u0026 pricing, 40 against 35\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses\n\n\n## Why the edge\n\n### Reliability: Enrich Layer API + MCP +49\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- Enrich Layer API + MCP (77): Cachet status page at status.enrichlayer.com with a component per endpoint under School, Company, People, Contact, Jobs, Search and Meta, plus Web (20). Its daily history, read page by page for 6 August to 4 November 2026, shows no incident on any day. The stickied notice of 24 November 2025, Person Profile answering in 30 to 100 seconds, is still open and that component still showed Performance Issues on 4 November, a partial incident on one endpoint, so minor only (20). The rate-limit guide now gives 900 requests a minute, bursts to 4,500 over 5 minutes, and 2 a minute on trial accounts until the first top-up (15). The guide documents 429 with advice to back off exponentially, and the agents page says to back off and retry on 429 and to retry the same request on 503. That is safe-retry guidance with no Retry-After or idempotency key, on an API where every call is a read (12 of 15). No SLA found (0). Generally available, with a v3 preview for two endpoints alongside (10).\n\n### Maintenance \u0026 community: Databar +47\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- Enrich Layer API + MCP (26): Newest MCP release 0.3.0, tagged on 12 June and published to npm on 19 June 2026 per the 1 October check, 138 days before this check (10). The last commits, on 10 and 11 August 2026, haven't been released. No release or dated changelog entry found from 6 August to 4 November (0). Release dates of the `enrichlayer-cli` npm package couldn't be read. Four merged pull requests since March 2026 and no public changelog. We couldn't see issue replies from git (8 of 25). Not in the official MCP registry and no official SDKs found (0). CI runs build, tests and an OpenAPI conformance check, and dependencies are recent (8 of 10).\n\n### Security \u0026 auth: Databar +7\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- Enrich Layer API + MCP (40): One secret key per user, sent as a bearer token. We found no scopes or key rotation docs. The hosted MCP server takes the same key at an OAuth consent screen (15 of 30). The API only reads, and the MCP marks all 25 tools read-only (18 of 20). Profiles carry free text written by the people they describe, and we found no prompt-injection guidance (2 of 15). A free credit-balance endpoint and nothing more for per-call visibility (5 of 15). No security.txt, disclosure policy, bug bounty or certification. The trust centre covers privacy rights and sub-processors only, and the privacy policy says SOC 2 is under consideration. OSV lists no advisory (0 of 20).\n\n### Schema \u0026 documentation: Databar +5\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- Enrich Layer API + MCP (79): OpenAPI 3.0 file at enrichlayer.com/docs/api/v2/openapi.yaml, with a JSON twin and `x-credits` per operation. The MCP repo vendors a 408 kB copy and its CI fails any tool that drifts from it (25). llms.txt and an agents page in Markdown (10). MCP tool descriptions state what each returns, which identifier to pass and the credit cost, but not when to pick one tool over another (14 of 20). Zod schemas with enums for include and exclude flags and cache modes (13 of 15). Examples in the spec, and the agents page lists 401, 403, 404, 429 and 503 with what each means, though no error body schema is given (12 of 15). /api/v2 paths and a v3 preview, no public changelog, MCP versions 0.2.0 and 0.3.0 tagged (5 of 15).\n\n### Payments \u0026 pricing: Enrich Layer 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- Enrich Layer API + MCP (40): No x402, MPP or L402 (0). Pack prices ($10 for 100 credits to $1,000 for 46,297), annual plans and per-endpoint credit costs are public (20). 500 free credits at signup, and the CLI page says no credit card is needed (20). A person signs up in a browser (0).\n\n## Score by category\n\n| Category | Weight | Databar | Enrich Layer API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 28 | 77 | Enrich Layer API + MCP +49 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 84 | 79 | Databar +5 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 68 | Enrich Layer API + MCP +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 47 | 40 | Databar +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | Enrich Layer 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 | 26 | Databar +47 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 55 | 59 | Enrich Layer API + MCP +4 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **53.8 · D** | **58.7 · C** | |\n\n## Facts side by side\n\n| Fact | Databar | Enrich Layer API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Databar, Inc. | Enrich Layer |\n| Hosted endpoint | `https://mcp.databar.ai/mcp` | `https://enrichlayer.com/api/v2` |\n| Transports | HTTP, Streamable HTTP, SSE (legacy) | HTTP, stdio |\n| Auth | OAuth or key | API key |\n| Pricing | Paid | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary, under Databar, Inc.'s terms of service | MIT |\n| Tools exposed | 69 | 25 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-30 | 2026-06-19 |\n| Terms last updated | 2026-10-01 | 2025-06-09 |\n| Privacy policy last updated | 2026-10-01 | 2025-06-09 |\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 | not found in the text |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | none | 0 stars, 26 npm/wk |\n| Agent reviews | none | 3/5 (2) |\n\n## How the scores have moved\n\n### Databar\n\nNo score change since it was listed.\n\n### Enrich Layer API + MCP\n\n- +2.9 on 4 November 2026: new evidence\n- no change on 27 October 2026: checklist\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**Enrich Layer API + MCP.** Pay-as-you-go credits from $10, non-expiring unless idle for 18 months, with an OpenAPI spec and documented error codes. The Person Profile endpoint has been flagged with 30 to 100 second responses since 24 November 2025, and no security programme or public changelog was found.\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### Enrich Layer API + MCP\n\n1. Top up once before testing. Trial keys run at 2 requests a minute\n2. Set the person profile timeout to at least 100 seconds\n3. Stop on a 403, which means the account is out of credits, and retry a 503 as is\n4. Ask for `extra`, personal emails or phone numbers only when needed, since each adds credits\n5. Use `callback_url` on slow lookups such as work email instead of holding the connection\n\n## Questions\n\n### Which is better for AI agents, Databar or Enrich Layer API + MCP?\n\nEnrich Layer API + MCP scores 58.7 (C) on agent readiness against Databar's 53.8 (D), and leads in 4 of 7 scored categories. Databar leads on schema \u0026 documentation, security \u0026 auth and maintenance \u0026 community.\n\n### Do Databar and Enrich Layer API + MCP need an API key?\n\nDatabar takes an API key or an OAuth sign-in. Enrich Layer API + MCP needs an API key.\n\n### Can an agent call Databar and Enrich Layer API + MCP without installing anything?\n\nYes. Databar has a hosted endpoint at https://mcp.databar.ai/mcp and Enrich Layer API + MCP at https://enrichlayer.com/api/v2.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/databar-vs-enrich-layer.json, and with the fewest tokens: https://www.anchorterminal.com/compare/databar-vs-enrich-layer.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"databar\", \"b\": \"enrich-layer\"}`. From a terminal: `anchor compare databar enrich-layer`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/databar.json and https://www.anchorterminal.com/api/v1/tools/enrich-layer.json\n\n## Other comparisons with Databar or Enrich Layer API + MCP\n\n- [Apollo API + MCP vs Databar](https://www.anchorterminal.com/compare/apollo-vs-databar.md)\n- [Apollo API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/apollo-vs-enrich-layer.md)\n- [Clay vs Databar](https://www.anchorterminal.com/compare/clay-vs-databar.md)\n- [Clay vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/clay-vs-enrich-layer.md)\n- [Coresignal API + MCP vs Databar](https://www.anchorterminal.com/compare/coresignal-vs-databar.md)\n- [Coresignal API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-enrich-layer.md)\n- [Crustdata API + MCP vs Databar](https://www.anchorterminal.com/compare/crustdata-vs-databar.md)\n- [Crustdata API + 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MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-lusha.md)\n- [Enrich Layer API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.md)\n- [Enrich Layer API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo.md)\n- [Enrich Layer API + MCP vs RocketReach API](https://www.anchorterminal.com/compare/enrich-layer-vs-rocketreach.md)\n- [Enrich Layer API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.md)\n- [Clearbit vs Databar](https://www.anchorterminal.com/compare/clearbit-vs-databar.md)\n- [Clearbit vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/clearbit-vs-enrich-layer.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 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 FullEnrich API + MCP](https://www.anchorterminal.com/compare/databar-vs-fullenrich.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 Enrich Layer API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-enrich-layer.md)\n- [Enrich Layer API + MCP vs FullContact](https://www.anchorterminal.com/compare/enrich-layer-vs-fullcontact.md)\n- [Enrich Layer API + MCP vs ZeroBounce](https://www.anchorterminal.com/compare/enrich-layer-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 Enrich Layer API + MCP", "url": "" } ], "description": "Enrich Layer scores 58.7 (C) to Databar's 53.8 (D) for lead enrichment. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Databar D 53.8", "Enrich Layer API + MCP C 58.7", "scores" ], "h1": "Databar vs Enrich Layer API + MCP", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/databar-vs-enrich-layer", "published": "2026-10-01", "section": "tools", "title": "Databar vs Enrich Layer for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/databar-vs-enrich-layer" }, "tokens": { "markdown": 4450, "slim": 2180 }, "version": 1 }