{ "data": { "a": { "slug": "fuse-mcp", "name": "Fuse MCP", "vendor": "FuseAI, LLC", "vendorUrl": "https://fuseai.com", "kind": "mcp", "category": "lead-data", "summary": "Fuse MCP is the hosted MCP server for Fuse AI's sales platform. It lets an assistant search people and companies, enrich contacts, manage lists and campaigns, and send email and LinkedIn messages from a signed-in Fuse account.", "url": "https://www.anchorterminal.com/tools/fuse-mcp", "markdownUrl": "https://www.anchorterminal.com/tools/fuse-mcp.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/fuse-mcp.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/fuse-mcp.json", "license": "Proprietary hosted service under FuseAI's terms of service. No public source repository found", "transports": [ "streamable-http" ], "remoteUrl": "https://mcp.fuseai.com", "packages": [], "auth": "oauth", "authNotes": "Access is self-serve. The client registers itself by dynamic client registration, then a person signs in to their Fuse account in a browser (email and password, Google or Microsoft, with a verified email address) and approves the connection. The flow is authorisation code with PKCE (S256) and the single scope `mcp:tools`. The connection runs as that user with all of their permissions. Access tokens last one hour, refresh tokens rotate on each use and last 30 days from last use. There is no API-key route into the MCP server. The separate REST API takes `af_` keys over HTTP Basic, limited to any of nine scopes.", "pricing": "freemium", "pricingNotes": "Free plan at $0, then Solo $60 a month with 480,000 credits a year and Team $200 a month with 1,200,000, with 20 per cent off for annual billing. Enterprise is by quote. The pricing page gives the Free allowance as 24,000 credits a year on the plan card and 2,000 in the usage table. MCP calls spend the same credits as the app, and every call needs a balance of at least 100. The Solo card lists MCP among its integrations, and we could not confirm from the page that the Free plan includes it. Top-up prices are shown only in the app. We did not attempt signup, so whether a card is asked for is unchecked (https://fuseai.com/pricing, checked 2026-10-08).", "priceSummary": "$60 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the MCP docs, the REST docs, the OpenAPI spec or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": 290, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.fuseai.com/mcp/connect", "llmsTxt": "https://docs.fuseai.com/llms.txt", "openapi": "https://docs.fuseai.com/openapi.json", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "email.verification", "data.company", "email.send", "search.research" ], "tags": [ "hosted", "mcp", "oauth", "freemium", "sales", "outreach", "enrichment", "lead-search", "llms-txt", "openapi", "closed-source", "new" ], "lastRelease": "2026-10-07", "graded": true, "anchor": { "graded": true, "score": 47.9, "grade": "D", "agentReady": false, "rank": 732, "ranked": true, "rankOf": 842, "categoryRank": 13, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 57, "maintenance": 35, "payments": 30, "reliability": 40, "schema": 72, "security": 45, "transparency": 49 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "The server documents 290 tools with read-only and destructive annotations, OAuth with PKCE and dynamic client registration, and published limits of 60 requests a minute. The single `mcp:tools` scope grants everything the user can do, sends happen at once with no undo, and no status page, changelog or security contact was found.", "bestFor": "Suited to a salesperson or founder who wants an assistant to build prospect lists, enrich them and run email and LinkedIn outreach inside one Fuse account.", "strengths": [ "Every tool carries `readOnlyHint` or `destructiveHint` per the docs, and the tool reference marks 113 read-only, 144 writing and 33 destructive", "OAuth authorisation code with PKCE and dynamic client registration, one-hour access tokens and rotating refresh tokens", "MCP limits are published at 60 requests a minute and 5,000 a day per user, with `RATE_LIMIT_EXCEEDED` on 429", "Credit costs per action are public, reads are free, and `get_credit_prices` returns current prices before a call", "llms.txt, Markdown docs, a skill file and an OpenAPI 3.1 spec with 146 operations for the REST API beside it" ], "weaknesses": [ "The only OAuth scope is `mcp:tools`, so a connection can do everything its user can, including sending email and LinkedIn messages", "The 290 tools come to about half a megabyte of descriptions and schemas, with no toolsets or read-only subset", "The October 2026 rebuild removed the earlier tools such as `prospect_search`, and the docs say the server does not announce tool list changes", "No status page, changelog, SLA, security.txt or disclosure contact was found on the site or in the docs", "Vendor pages disagree on the Free allowance (24,000 credits a year or 2,000) and on the provider count (40+, 39 or 20+)" ], "agentNotes": [ "Keep the client's approval prompt on for every tool that is not read-only. Sends, CRM pushes and Slack posts run at once with no undo", "Launch a campaign only on an explicit request. Creating one makes a draft, and `update_campaign_status_tool` starts real outreach", "Call `get_credits_balance` and `get_credit_prices` first. Every call needs at least 100 credits, and searches cost 2 credits a result", "Resolve filter values with `lookup_filter_values` or `get_company_search_enums` before `search_people` or `search_companies`", "Start long work with `deep_research_start`, then poll `deep_research_status`. A tool call has 60 seconds, and runs take 5 to 20 minutes" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 47.9 } ], "editorialScores": { "ergonomics": 57, "maintenance": 35, "payments": 30, "reliability": 40, "schema": 72, "security": 45, "transparency": 36 }, "provenanceScore": 62 }, "connect": { "claudeCode": "claude mcp add --transport http fuse https://mcp.fuseai.com", "config": { "mcpServers": { "fuse": { "url": "https://mcp.fuseai.com" } } } }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/fuse-mcp" }, "area": "web-data", "unitPrices": [ { "item": "Free plan", "unit": "month", "usd": 0, "note": "1 seat. The pricing page shows 24,000 credits a year on the plan card and 2,000 in the usage table" }, { "item": "Solo plan", "unit": "month", "usd": 60, "note": "1 seat, 480,000 credits a year" }, { "item": "Team plan", "unit": "month", "usd": 200, "note": "5 seats, 1,200,000 credits a year" } ], "provenance": { "legalEntity": "FuseAI, LLC", "domain": "fuseai.com", "domainRegistered": "2017-03-11", "endpointOnVendorDomain": true, "terms": "https://fuseai.com/legal/terms-of-service", "privacy": "https://fuseai.com/legal/privacy-policy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The terms of service (last updated 1 July 2026) give the contracting party as FuseAI, LLC with the contact hello@tryfuse.ai and no postal address. The company page says the team is in San Francisco.", "The MCP server answers at mcp.fuseai.com and its authorisation server at core.backend.fuseai.com. The REST API is on api.tryfuse.ai, the vendor's earlier domain, and tryfuse.ai redirects to fuseai.com.", "fuseai.com/.well-known/security.txt and docs.fuseai.com/.well-known/security.txt return 404.", "No status page or changelog is linked from the site, the docs index or the sitemap. status.fuseai.com, status.tryfuse.ai and trust.fuseai.com did not connect from our network.", "RDAP for fuseai.com gives a registration date of 2017-03-11, so the domain predates the company's use of it. The domain's history before Fuse was not checked." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/fuse-mcp.json", "live": { "slug": "fuse-mcp", "probe": { "target": "https://mcp.fuseai.com", "method": "mcp-initialize", "lastAt": "2026-10-09T10:42:43.843372394Z", "lastOk": true, "lastStatus": 401, "lastMs": 384, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 333, "p95ms24h": 386, "samples24h": 207, "samples30d": 207, "days": [ { "date": "2026-10-08", "probes": 93, "ok": 93 }, { "date": "2026-10-09", "probes": 114, "ok": 114 } ] }, "securityTxt": { "url": "https://fuseai.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:54.377906274Z" }, "pages": [ { "url": "https://fuseai.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:20:36.957807227Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "21fee727aa20" }, { "url": "https://fuseai.com/legal/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:20:32.740120656Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "d35ecd9cf6d0" }, { "url": "https://fuseai.com/legal/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:20:35.055158028Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "911a898c524d" } ], "mcpTools": { "url": "https://mcp.fuseai.com", "checkedAt": "2026-10-08T21:33:51.293613327Z", "status": "auth", "note": "asks for credentials before listing its tools", "changedAt": "2026-10-08T21:33:51.293613327Z" }, "updatedAt": "2026-10-09T10:42:43.843372394Z" } }, "answer": "People Data Labs scores 64.2 (B) on agent readiness against Fuse MCP's 47.9 (D), and leads in 5 of 7 scored categories.", "b": { "slug": "people-data-labs", "name": "People Data Labs", "vendor": "People Data Labs, Inc.", "vendorUrl": "https://www.peopledatalabs.com", "kind": "http-api", "category": "lead-data", "summary": "People Data Labs sells person, company and job posting data through a REST API. Agents enrich a known person or company, resolve an identity, or search the datasets with Elasticsearch or SQL queries, using an API key.", "url": "https://www.anchorterminal.com/tools/people-data-labs", "markdownUrl": "https://www.anchorterminal.com/tools/people-data-labs.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/people-data-labs.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/people-data-labs.json", "repo": "https://github.com/peopledatalabs/peopledatalabs-python", "license": "Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT", "transports": [ "http" ], "remoteUrl": "https://api.peopledatalabs.com/v5", "packages": [ { "registry": "pypi", "name": "peopledatalabs" }, { "registry": "npm", "name": "peopledatalabs" }, { "registry": "go", "name": "github.com/peopledatalabs/peopledatalabs-go" } ], "auth": "api-key", "authNotes": "Self-serve API key from the dashboard after a free signup, sent in the `X-Api-Key` header or as an `api_key` query parameter. Keys have no scopes. A Free account holds 1 active key, Pro 3 and Enterprise 5. Webhooks and data licence deliveries are arranged through sales.", "pricing": "freemium", "pricingNotes": "Free plan with up to 100 records a month and emails, phone numbers and addresses obfuscated. Pro starts at $98 a month for 350 person records or $100 for 1,000 company records, with 20 per cent off on annual terms. Enterprise is priced by sales. One credit per match or per search record returned, and requests without a match are not charged. The sandbox is free. Higher volume steps and field-bundle prices are shown in the dashboard only (https://www.peopledatalabs.com/pricing, https://docs.peopledatalabs.com/docs/create-an-account, checked 2026-10-08).", "priceSummary": "$98 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the pricing page or the Services Subscription Agreement (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 40, "npmWeekly": 132937, "pypiWeekly": 29514, "asOf": "2026-10-08" }, "docsUrl": "https://docs.peopledatalabs.com", "llmsTxt": "https://docs.peopledatalabs.com/llms.txt", "capabilities": [ "lead.search", "lead.enrichment", "data.company", "data.person" ], "tags": [ "lead-search", "enrichment", "hosted", "api-key", "free-tier", "sandbox", "llms-txt", "python", "javascript", "go", "ruby", "rust", "status-page", "soc2", "closed-source" ], "lastRelease": "2026-09-16", "graded": true, "anchor": { "graded": true, "score": 64.2, "grade": "B", "agentReady": false, "rank": 326, "ranked": true, "rankOf": 842, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 79, "payments": 35, "reliability": 78, "schema": 70, "security": 43, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Monthly dated release notes, a free sandbox with synthetic data, response headers that report credits and rate limits, and a free plan of 100 records a month make the API easy to start with. No OpenAPI file was found, keys carry no scopes and may travel in the URL, and the agreement allows changes without notice.", "bestFor": "Products and pipelines that enrich or search person and company records at volume and can write Elasticsearch or SQL queries.", "strengths": [ "Credits are charged only on a match (a `200`), and each response reports credits spent and remaining in headers", "Seven sandbox endpoints at `sandbox.api.peopledatalabs.com` return synthetic records at no charge on every plan", "Release notes are dated monthly, the latest on 15 September 2026 (dataset v35.2), with schema changes labelled", "`data_include`, `size` and `scroll_token` let a caller limit fields and page through search results", "The published DPA commits to deletion within 90 days of termination and breach notice within 72 hours" ], "weaknesses": [ "No OpenAPI file was found. The machine-readable material is a Postman collection and Elasticsearch mappings", "API keys have no scopes, and the docs show the key passed as `api_key` in the URL query string", "The Services Subscription Agreement says data and services may be modified without prior notice", "Free-plan records have emails, phone numbers and addresses obfuscated, and person search defaults to 10 requests a minute", "No SLA, security.txt, bug bounty or disclosure policy was found in the reviewed pages" ], "agentNotes": [ "Send the key in the `X-Api-Key` header. The `api_key` query parameter puts the secret in URLs and logs", "Build and test queries against `https://sandbox.api.peopledatalabs.com/v5/...` first. It costs no credits and allows five calls a minute", "Set `size` deliberately on search. Every record returned costs one credit, and responses over 1 MB fail", "Treat `404` on enrichment as no match, not an error, and `402` as credits exhausted. Neither is worth a retry", "On `429`, wait until the `x-ratelimit-reset` time. Limits are fixed-window per key and per endpoint" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 64.2 } ], "editorialScores": { "ergonomics": 77, "maintenance": 79, "payments": 35, "reliability": 78, "schema": 70, "security": 43, "transparency": 53 }, "provenanceScore": 80 }, "connect": { "install": "pip install peopledatalabs", "http": "curl -X GET -G 'https://api.peopledatalabs.com/v5/person/enrich' -H 'X-Api-Key: YOUR API KEY' --data-urlencode 'profile=linkedin.com/in/seanthorne'" }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/people-data-labs" }, "area": "web-data", "unitPrices": [ { "item": "Pro plan, person data", "unit": "month", "usd": 98, "note": "350 person records a month, entry step" }, { "item": "Pro plan, company data", "unit": "month", "usd": 100, "note": "1,000 company records a month, entry step" }, { "item": "Person record", "unit": "record", "usd": 0.28, "note": "Derived from $98 for 350 records at the Pro entry step" }, { "item": "Company record", "unit": "record", "usd": 0.1, "note": "Derived from $100 for 1,000 records at the Pro entry step" } ], "provenance": { "legalEntity": "People Data Labs, Inc.", "domain": "peopledatalabs.com", "domainRegistered": "2017-07-16", "endpointOnVendorDomain": true, "terms": "https://privacy.peopledatalabs.com/policies?name=services-subscription-agreement", "privacy": "https://privacy.peopledatalabs.com/policies?name=privacy-policy", "statusPage": "https://status.peopledatalabs.com", "changelog": "https://docs.peopledatalabs.com/links/release-notes", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The Services Subscription Agreement names People Data Labs, Inc., 455 Market St Ste 1940, PMB 25778, San Francisco, CA 94105, and is governed by California law. It applies to accounts opened on peopledatalabs.com as well as order forms.", "The legal pages on privacy.peopledatalabs.com are drawn by script. We read their text from the data file the page itself loads, `/static/privacy.peopledatalabs.com/privacyCenterMessages-en.json`. A plain HTML reader sees only the page title.", "The API answers at api.peopledatalabs.com and the sandbox at sandbox.api.peopledatalabs.com.", "www.peopledatalabs.com/.well-known/security.txt and the same path on the docs host return 404.", "RDAP gives a registration date of 2017-07-16 for peopledatalabs.com.", "The privacy policy says PDL is registered as a data broker in Texas and has certified to the EU-U.S., UK and Swiss-U.S. Data Privacy Frameworks." ], "score": 80 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/people-data-labs.json", "live": { "slug": "people-data-labs", "probe": { "target": "https://api.peopledatalabs.com/v5", "method": "get", "lastAt": "2026-10-09T10:42:52.387275806Z", "lastOk": true, "lastStatus": 404, "lastMs": 591, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 591, "p95ms24h": 643, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.peopledatalabs.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T10:41:58.65183273Z" }, "updatedAt": "2026-10-09T10:42:52.387275806Z" } }, "facts": [ { "a": "MCP server", "b": "HTTP API", "name": "Kind" }, { "a": "FuseAI, LLC", "b": "People Data Labs, Inc.", "name": "Vendor" }, { "a": "https://mcp.fuseai.com", "b": "https://api.peopledatalabs.com/v5", "name": "Hosted endpoint" }, { "a": "Streamable HTTP", "b": "HTTP", "name": "Transports" }, { "a": "OAuth", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted service under FuseAI's terms of service. No public source repository found", "b": "Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT", "name": "Licence" }, { "a": "290", "b": "none", "name": "Tools exposed" }, { "a": "yes", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-07", "b": "2026-09-16", "name": "Last release" }, { "a": "2026-07-01", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "2026-07-01", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "yes", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "40 stars, 133k npm/wk, 30k PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "People Data Labs scores 64.2 (B) on agent readiness against Fuse MCP's 47.9 (D), and leads in 5 of 7 scored categories.", "question": "Which is better for AI agents, Fuse MCP or People Data Labs?" }, { "answer": "Fuse MCP uses an OAuth sign-in. People Data Labs needs an API key.", "question": "Do Fuse MCP and People Data Labs need an API key?" }, { "answer": "Yes. Fuse MCP has a hosted endpoint at https://mcp.fuseai.com and People Data Labs at https://api.peopledatalabs.com/v5.", "question": "Can an agent call Fuse MCP and People Data Labs without installing anything?" } ], "goodFor": [ { "aheadOn": null, "also": null, "goodFor": "Suited to a salesperson or founder who wants an assistant to build prospect lists, enrich them and run email and LinkedIn outreach inside one Fuse account.", "slug": "fuse-mcp", "watchFor": "The only OAuth scope is `mcp:tools`, so a connection can do everything its user can, including sending email and LinkedIn messages" }, { "aheadOn": [ "Reliability, 78 against 40", "Agent ergonomics, 77 against 57", "Payments \u0026 pricing, 35 against 30", "Maintenance \u0026 community, 79 against 35", "Transparency \u0026 trust, 67 against 49" ], "also": null, "goodFor": "Products and pipelines that enrich or search person and company records at volume and can write Elasticsearch or SQL queries.", "slug": "people-data-labs", "watchFor": "No OpenAPI file was found. The machine-readable material is a Postman collection and Elasticsearch mappings" } ], "job": { "capability": "lead.search", "name": "Lead search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/apollo-vs-fuse-mcp.json", "title": "Apollo API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-people-data-labs.json", "title": "Apollo API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/apollo-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/coresignal-vs-fuse-mcp.json", "title": "Coresignal API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/coresignal-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/coresignal-vs-people-data-labs.json", "title": "Coresignal API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/coresignal-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/crustdata-vs-fuse-mcp.json", "title": "Crustdata API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/crustdata-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/crustdata-vs-people-data-labs.json", "title": "Crustdata API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/crustdata-vs-people-data-labs" }, { "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-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/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-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/fuse-mcp-vs-gojiberry.json", "title": "Fuse MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-hunter.json", "title": "Fuse MCP vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-leadmagic.json", "title": "Fuse MCP vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-lusha.json", "title": "Fuse MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-prospeo.json", "title": "Fuse MCP vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-zoominfo.json", "title": "Fuse MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-people-data-labs.json", "title": "Gojiberry vs People Data Labs", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/hunter-vs-people-data-labs.json", "title": "Hunter API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/hunter-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/leadmagic-vs-people-data-labs.json", "title": "LeadMagic API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/leadmagic-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/lusha-vs-people-data-labs.json", "title": "Lusha API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/lusha-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/people-data-labs-vs-prospeo.json", "title": "People Data Labs vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/people-data-labs-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/people-data-labs-vs-zoominfo.json", "title": "People Data Labs vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/people-data-labs-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/dropcontact-vs-fuse-mcp.json", "title": "Dropcontact API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/dropcontact-vs-people-data-labs.json", "title": "Dropcontact API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-people-data-labs" } ], "scores": [ { "by": 38, "edge": "people-data-labs", "fuse-mcp": 40, "key": "reliability", "name": "Reliability", "people-data-labs": 78, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "edge": "fuse-mcp", "fuse-mcp": 72, "key": "schema", "name": "Schema \u0026 documentation", "people-data-labs": 70, "weight": 13 }, { "by": 20, "edge": "people-data-labs", "fuse-mcp": 57, "key": "ergonomics", "name": "Agent ergonomics", "people-data-labs": 77, "weight": 13 }, { "by": 2, "edge": "fuse-mcp", "fuse-mcp": 45, "key": "security", "name": "Security \u0026 auth", "people-data-labs": 43, "weight": 14 }, { "by": 5, "edge": "people-data-labs", "fuse-mcp": 30, "key": "payments", "name": "Payments \u0026 pricing", "people-data-labs": 35, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 44, "edge": "people-data-labs", "fuse-mcp": 35, "key": "maintenance", "name": "Maintenance \u0026 community", "people-data-labs": 79, "weight": 7 }, { "by": 18, "edge": "people-data-labs", "fuse-mcp": 49, "key": "transparency", "name": "Transparency \u0026 trust", "people-data-labs": 67, "weight": 7 } ], "summary": "People Data Labs scores 64.2 (B) on agent readiness against Fuse MCP's 47.9 (D), and leads in 5 of 7 scored categories. Both do lead search.", "verdicts": { "fuse-mcp": "The server documents 290 tools with read-only and destructive annotations, OAuth with PKCE and dynamic client registration, and published limits of 60 requests a minute. The single `mcp:tools` scope grants everything the user can do, sends happen at once with no undo, and no status page, changelog or security contact was found.", "people-data-labs": "Monthly dated release notes, a free sandbox with synthetic data, response headers that report credits and rate limits, and a free plan of 100 records a month make the API easy to start with. No OpenAPI file was found, keys carry no scopes and may travel in the URL, and the agreement allows changes without notice." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs", "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.md", "slim": "https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.min.md" }, "markdown": "People Data Labs scores 64.2 (B) on agent readiness against Fuse MCP's 47.9 (D), and leads in 5 of 7 scored categories. Both do lead search.\n\n- Fuse MCP: grade D, 47.9/100, rank #732 of 842. Markdown https://www.anchorterminal.com/tools/fuse-mcp.md · JSON https://www.anchorterminal.com/api/v1/tools/fuse-mcp.json\n- People Data Labs: grade B, 64.2/100, rank #326 of 842. Markdown https://www.anchorterminal.com/tools/people-data-labs.md · JSON https://www.anchorterminal.com/api/v1/tools/people-data-labs.json\n\n## Which one, for what\n\n### Fuse MCP (D)\n\nGood for: Suited to a salesperson or founder who wants an assistant to build prospect lists, enrich them and run email and LinkedIn outreach inside one Fuse account.\n\nWatch for: The only OAuth scope is `mcp:tools`, so a connection can do everything its user can, including sending email and LinkedIn messages\n\n### People Data Labs (B)\n\nGood for: Products and pipelines that enrich or search person and company records at volume and can write Elasticsearch or SQL queries.\n\nAhead on:\n- Reliability, 78 against 40\n- Agent ergonomics, 77 against 57\n- Payments \u0026 pricing, 35 against 30\n- Maintenance \u0026 community, 79 against 35\n- Transparency \u0026 trust, 67 against 49\n\nWatch for: No OpenAPI file was found. The machine-readable material is a Postman collection and Elasticsearch mappings\n\n\n## Score by category\n\n| Category | Weight | Fuse MCP | People Data Labs | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 78 | People Data Labs +38 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 72 | 70 | Fuse MCP +2 |\n| Agent ergonomics | 13% (16.2 this run) | 57 | 77 | People Data Labs +20 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 43 | Fuse MCP +2 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 35 | People Data Labs +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 35 | 79 | People Data Labs +44 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 49 | 67 | People Data Labs +18 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **47.9 · D** | **64.2 · B** | |\n\n## Facts side by side\n\n| Fact | Fuse MCP | People Data Labs |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | FuseAI, LLC | People Data Labs, Inc. |\n| Hosted endpoint | `https://mcp.fuseai.com` | `https://api.peopledatalabs.com/v5` |\n| Transports | Streamable HTTP | HTTP |\n| Auth | OAuth | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Proprietary hosted service under FuseAI's terms of service. No public source repository found | Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT |\n| Tools exposed | 290 | none |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-07 | 2026-09-16 |\n| Terms last updated | 2026-07-01 | couldn't be read |\n| Privacy policy last updated | 2026-07-01 | couldn't be read |\n| Customer content may train models | not found in the text | couldn't be read |\n| Terms restrict automated access | yes | couldn't be read |\n| Terms restrict benchmarking | not found in the text | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | yes | couldn't be read |\n| Popularity | none | 40 stars, 133k npm/wk, 30k PyPI/wk |\n\n## Verdicts\n\n**Fuse MCP.** The server documents 290 tools with read-only and destructive annotations, OAuth with PKCE and dynamic client registration, and published limits of 60 requests a minute. The single `mcp:tools` scope grants everything the user can do, sends happen at once with no undo, and no status page, changelog or security contact was found.\n\n**People Data Labs.** Monthly dated release notes, a free sandbox with synthetic data, response headers that report credits and rate limits, and a free plan of 100 records a month make the API easy to start with. No OpenAPI file was found, keys carry no scopes and may travel in the URL, and the agreement allows changes without notice.\n\n## Before you call either\n\n### Fuse MCP\n\n1. Keep the client's approval prompt on for every tool that is not read-only. Sends, CRM pushes and Slack posts run at once with no undo\n2. Launch a campaign only on an explicit request. Creating one makes a draft, and `update_campaign_status_tool` starts real outreach\n3. Call `get_credits_balance` and `get_credit_prices` first. Every call needs at least 100 credits, and searches cost 2 credits a result\n4. Resolve filter values with `lookup_filter_values` or `get_company_search_enums` before `search_people` or `search_companies`\n5. Start long work with `deep_research_start`, then poll `deep_research_status`. A tool call has 60 seconds, and runs take 5 to 20 minutes\n\n### People Data Labs\n\n1. Send the key in the `X-Api-Key` header. The `api_key` query parameter puts the secret in URLs and logs\n2. Build and test queries against `https://sandbox.api.peopledatalabs.com/v5/...` first. It costs no credits and allows five calls a minute\n3. Set `size` deliberately on search. Every record returned costs one credit, and responses over 1 MB fail\n4. Treat `404` on enrichment as no match, not an error, and `402` as credits exhausted. Neither is worth a retry\n5. On `429`, wait until the `x-ratelimit-reset` time. Limits are fixed-window per key and per endpoint\n\n## Questions\n\n### Which is better for AI agents, Fuse MCP or People Data Labs?\n\nPeople Data Labs scores 64.2 (B) on agent readiness against Fuse MCP's 47.9 (D), and leads in 5 of 7 scored categories.\n\n### Do Fuse MCP and People Data Labs need an API key?\n\nFuse MCP uses an OAuth sign-in. People Data Labs needs an API key.\n\n### Can an agent call Fuse MCP and People Data Labs without installing anything?\n\nYes. Fuse MCP has a hosted endpoint at https://mcp.fuseai.com and People Data Labs at https://api.peopledatalabs.com/v5.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"fuse-mcp\", \"b\": \"people-data-labs\"}`. From a terminal: `anchor compare fuse-mcp people-data-labs`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fuse-mcp.json and https://www.anchorterminal.com/api/v1/tools/people-data-labs.json\n\n## Other comparisons with Fuse MCP or People Data Labs\n\n- [Apollo API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/apollo-vs-fuse-mcp.md)\n- [Apollo API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/apollo-vs-people-data-labs.md)\n- [Coresignal API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/coresignal-vs-fuse-mcp.md)\n- [Coresignal API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/coresignal-vs-people-data-labs.md)\n- [Crustdata API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/crustdata-vs-fuse-mcp.md)\n- [Crustdata API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/crustdata-vs-people-data-labs.md)\n- [Enrich Layer API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-fuse-mcp.md)\n- [Enrich Layer API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.md)\n- [FullEnrich API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/fullenrich-vs-fuse-mcp.md)\n- [FullEnrich API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.md)\n- [Fuse MCP vs Gojiberry](https://www.anchorterminal.com/compare/fuse-mcp-vs-gojiberry.md)\n- [Fuse MCP vs Hunter API + MCP](https://www.anchorterminal.com/compare/fuse-mcp-vs-hunter.md)\n- [Fuse MCP vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/fuse-mcp-vs-leadmagic.md)\n- [Fuse MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/fuse-mcp-vs-lusha.md)\n- [Fuse MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/fuse-mcp-vs-prospeo.md)\n- [Fuse MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/fuse-mcp-vs-zoominfo.md)\n- [Gojiberry vs People Data Labs](https://www.anchorterminal.com/compare/gojiberry-vs-people-data-labs.md)\n- [Hunter API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/hunter-vs-people-data-labs.md)\n- [LeadMagic API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/leadmagic-vs-people-data-labs.md)\n- [Lusha API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/lusha-vs-people-data-labs.md)\n- [People Data Labs vs Prospeo API + MCP](https://www.anchorterminal.com/compare/people-data-labs-vs-prospeo.md)\n- [People Data Labs vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/people-data-labs-vs-zoominfo.md)\n- [Dropcontact API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/dropcontact-vs-fuse-mcp.md)\n- [Dropcontact API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/dropcontact-vs-people-data-labs.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Fuse MCP vs People Data Labs", "url": "" } ], "description": "People Data Labs scores 64.2 (B) on agent readiness against Fuse MCP's 47.9 (D), and leads in 5 of 7 scored categories. Both do lead search. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Fuse MCP D 47.9", "People Data Labs B 64.2", "scores" ], "h1": "Fuse MCP vs People Data Labs", "image": "https://www.anchorterminal.com/assets/og/compare-fuse-mcp-vs-people-data-labs.png", "path": "/compare/fuse-mcp-vs-people-data-labs", "published": "2026-10-01", "section": "tools", "title": "Fuse MCP vs People Data Labs for AI agents, D 47.9 vs B 64.2", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs" }, "tokens": { "markdown": 2500, "slim": 730 }, "version": 1 }