{ "data": { "a": { "slug": "alpha-vantage", "name": "Alpha Vantage", "vendor": "Alpha Vantage Inc.", "vendorUrl": "https://www.alphavantage.co", "kind": "http-api", "category": "market-data", "summary": "Alpha Vantage is a market data API for stocks, options, indices, forex, crypto, commodities, fundamentals, news sentiment, economic series and technical indicators. Agents call one REST endpoint with a function name, or the official MCP server at mcp.alphavantage.co.", "url": "https://www.anchorterminal.com/tools/alpha-vantage", "markdownUrl": "https://www.anchorterminal.com/tools/alpha-vantage.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/alpha-vantage.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/alpha-vantage.json", "dns": "alpha-vantage.grade.anchorterminal.com", "repo": "https://github.com/alphavantage/alpha_vantage_mcp", "license": "Proprietary service under Alpha Vantage's Terms of Service. The MCP server, CLI and shared client in alphavantage/alpha_vantage_mcp are MIT", "transports": [ "http", "streamable-http", "stdio" ], "remoteUrl": "https://www.alphavantage.co/query", "packages": [ { "registry": "pypi", "name": "marketdata-mcp-server" }, { "registry": "pypi", "name": "marketdata-cli" } ], "auth": "mixed", "authNotes": "Self-serve key. A form at alphavantage.co/support/#api-key asks for a name, an organisation and an email address and returns a free key. REST calls send it as `apikey=` in the query string, the only method the documentation shows. One key per account, no scopes. To replace a key the pages tell users to email support. The hosted MCP server takes OAuth 2 (authorisation code with PKCE, dynamic client registration, one scope `alphavantage:read`), where the user enters the key on a consent page. An `?apikey=` MCP URL still works and is marked deprecated.", "pricing": "freemium", "pricingNotes": "Free key at 25 requests a day with no card, covering most functions. Premium plans are priced by requests a minute with no daily limit, $49.99 a month for 75 up to $249.99 for 1,200, or ten times the monthly price a year (https://www.alphavantage.co/premium/). Real-time and 15-minute delayed US data need a premium plan and a separate entitlement step. Commercial use is by written agreement with no public price (checked 2026-10-08).", "priceSummary": "$49.99 / mo", "where": "both", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the API documentation, the premium page or the MCP server repository (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 217, "npmWeekly": null, "pypiWeekly": 172, "asOf": "2026-10-08" }, "docsUrl": "https://www.alphavantage.co/documentation/", "registryName": "io.github.alphavantage/alpha_vantage_mcp", "capabilities": [ "market.prices", "market.history", "market.fundamentals", "market.news", "data.markets", "market.indices", "market.crypto", "data.company" ], "tags": [ "hosted", "freemium", "api-key", "mcp", "oauth", "official", "python", "stocks", "forex", "crypto", "personal-use" ], "lastRelease": "2026-10-03", "graded": true, "anchor": { "graded": true, "score": 41.5, "grade": "E", "agentReady": false, "rank": 1190, "ranked": true, "rankOf": 1349, "categoryRank": 11, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 54, "maintenance": 63, "payments": 30, "reliability": 30, "schema": 46, "security": 32, "transparency": 50 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "One GET endpoint covers about 130 documented functions, with a free key at 25 requests a day and an official MCP server whose tools are all marked read-only. The REST key travels only in the query string, errors come back as HTTP 200 with a text message, and no status page, SLA or OpenAPI document was found.", "bestFor": "A personal research or analysis agent that wants many asset classes, fundamentals, indicators and news sentiment from one key at a flat price.", "strengths": [ "About 130 documented functions behind one GET endpoint, each with demo URLs and sample code in Python, NodeJS, PHP and C#", "Free key at 25 requests a day with no card, and five public monthly plans from $49.99 (75 requests a minute) to $249.99 (1,200)", "Official MIT MCP server, hosted at `mcp.alphavantage.co/mcp` with OAuth (PKCE, dynamic client registration, one `alphavantage:read` scope) and read-only hints on every tool", "`outputsize=compact` returns the latest 100 points, and the MCP server caps a response preview at 32,000 tokens by default", "The vendor says it holds a Nasdaq licence for real-time and 15-minute delayed US data, and the terms name FRED as the source of economic and commodity series" ], "weaknesses": [ "The REST key is documented only as `apikey=` in the query string, with no scopes and no self-service rotation found", "Errors and limit notices return HTTP 200 with an `Error Message` or `Information` text field. No error reference, 429 or Retry-After guidance was found", "No status page, SLA, OpenAPI document, llms.txt, API version or API changelog was found", "The terms grant personal, non-commercial use only. Use on behalf of a company needs a written agreement", "PyPI still serves `marketdata-mcp-server` 0.3.1 from 16 March 2026, and an issue open since 4 September 2026 reports that it crashes on startup" ], "agentNotes": [ "Check every 200 response for `Error Message`, `Information` or `Note` keys before parsing data. The API does not signal failures or limits by status code", "Budget 25 requests a day on a free key. Real-time, 15-minute delayed and intraday US data, index data and several indicators need a premium plan", "Keep `outputsize=compact` unless full history is needed, and ask for `datatype=csv` on long series to cut tokens", "Use the hosted MCP server with OAuth at `https://mcp.alphavantage.co/mcp`. The `?apikey=` MCP URL is marked deprecated", "Confirm the owner's use is personal and non-commercial, or that a commercial agreement exists, before acting for a business" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 41.5 } ], "editorialScores": { "ergonomics": 54, "maintenance": 63, "payments": 30, "reliability": 30, "schema": 46, "security": 32, "transparency": 36 }, "provenanceScore": 64, "dataQualityScore": 82, "checked": { "categories": { "ergonomics": "2026-10-08", "maintenance": "2026-10-08", "payments": "2026-10-08", "reliability": "2026-10-08", "schema": "2026-10-08", "security": "2026-10-08", "transparency": "2026-10-08" }, "last": "2026-10-08", "lastMoved": "2026-10-27", "oldest": "2026-10-08", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "uvx marketdata-mcp-server YOUR_API_KEY", "http": "curl \"https://www.alphavantage.co/query?function=GLOBAL_QUOTE\u0026symbol=IBM\u0026apikey=$ALPHAVANTAGE_API_KEY\"", "claudeCode": "claude mcp add alphavantage -- uvx marketdata-mcp-server YOUR_API_KEY" }, "letme": { "capability": "https://letme.dev/market.prices", "tool": "https://letme.dev/alpha-vantage" }, "area": "domain-data", "unitPrices": [ { "item": "Premium, 75 requests a minute", "unit": "month", "usd": 49.99, "note": "personal use, no daily limit" }, { "item": "Premium, 150 requests a minute", "unit": "month", "usd": 99.99, "note": "personal use" }, { "item": "Premium, 300 requests a minute", "unit": "month", "usd": 149.99, "note": "personal use" }, { "item": "Premium, 600 requests a minute", "unit": "month", "usd": 199.99, "note": "personal use" }, { "item": "Premium, 1,200 requests a minute", "unit": "month", "usd": 249.99, "note": "personal use" } ], "provenance": { "legalEntity": "Alpha Vantage Inc.", "domain": "alphavantage.co", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://www.alphavantage.co/terms_of_service/", "privacy": "https://www.alphavantage.co/privacy/", "statusPage": "", "changelog": "https://github.com/alphavantage/alpha_vantage_mcp/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The Terms of Service name Alpha Vantage Inc., cover the website and the application programming interface, and are governed by Massachusetts law. The site footer gives Boston, Massachusetts.", "The terms and the privacy policy are each served as a PDF at the URL given, so a reader that skips PDFs will not read them. The privacy policy is dated 25 August 2025. The terms carry no date, and the file's metadata shows a change on 27 August 2026.", "www.alphavantage.co/.well-known/security.txt and /robots.txt both return 404.", "No status page was found. The site links none, and status.alphavantage.co does not present a valid certificate.", "The changelog link is the MCP server's. No changelog for the REST API was found.", "No RDAP service answered for the .co domain, so the registration date is not recorded. The site's copyright line runs from 2017." ], "score": 64 }, "dataQuality": { "coverage": "Global equities, ETFs and mutual funds, US options and indices, forex, crypto, commodities, fundamentals, news sentiment and ten US economic series", "coverageRating": 4, "freshness": "Real time or 15-minute delayed for US markets on premium plans with entitlement, otherwise historical and end of day", "freshnessClass": "realtime", "history": "25+ years of daily and intraday equity history (intraday from January 2000), per the documentation", "historyYears": 25, "methodology": "https://www.alphavantage.co/support/#support", "sourcesDisclosed": true, "licence": "Proprietary, under the vendor's Terms of Service", "licenceClass": "clear", "standing": "", "standingClass": "none", "reuse": "Personal, non-commercial use unless agreed otherwise in writing. Passing data to other people or using it for a company counts as commercial use.", "score": 82, "checks": null }, "pageJsonUrl": "https://www.anchorterminal.com/tools/alpha-vantage.json", "live": { "slug": "alpha-vantage", "probe": { "target": "https://www.alphavantage.co/query", "method": "get", "lastAt": "2026-11-04T20:46:30.311896646Z", "lastOk": true, "lastStatus": 200, "lastMs": 137, "authRequired": false, "uptime24h": 100, "uptime30d": 99.91, "p50ms24h": 130, "p95ms24h": 304, "samples24h": 246, "samples30d": 6644, "days": [ { "date": "2026-10-09", "probes": 169, "ok": 169 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 254 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 251 }, { "date": "2026-10-22", "probes": 253, "ok": 252 }, { "date": "2026-10-23", "probes": 248, "ok": 247 }, { "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": 249, "ok": 248 }, { "date": "2026-10-30", "probes": 248, "ok": 248 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 214, "ok": 214 } ] }, "versions": [ { "registry": "mcp-registry", "name": "io.github.alphavantage/alpha_vantage_mcp", "version": "1.0.0", "seenAt": "2026-11-04T17:11:44.552009456Z" }, { "registry": "pypi", "name": "marketdata-cli", "version": "0.1.9", "released": "2026-03-17", "seenAt": "2026-11-04T19:56:54.554856877Z" }, { "registry": "pypi", "name": "marketdata-mcp-server", "version": "0.3.1", "released": "2026-03-16", "seenAt": "2026-11-04T19:56:54.365115127Z" } ], "githubStars": 225, "pypiWeekly": 7912, "securityTxt": { "url": "https://alphavantage.co/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-04T15:54:10.658830061Z" }, "domain": { "domain": "alphavantage.co", "checkedAt": "2026-11-01T14:10:30.150882219Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/alphavantage/alpha_vantage_mcp/main/CHANGELOG.md", "kind": "changelog", "status": 304, "checkedAt": "2026-11-04T08:32:44.1418251Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7d8adbd772af" }, { "url": "https://www.alphavantage.co/privacy/", "kind": "privacy", "status": 200, "checkedAt": "2026-11-04T08:36:55.255854258Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://www.alphavantage.co/terms_of_service/", "kind": "terms", "status": 200, "checkedAt": "2026-11-04T08:36:57.583294573Z", "changedAt": "0001-01-01T00:00:00Z" } ], "github": { "repo": "alphavantage/alpha_vantage_mcp", "checkedAt": "2026-11-02T08:30:09.565782068Z", "stars": 224, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-03T00:09:33Z", "openIssues": 1, "openPRs": 2, "issuesOpened90d": 2, "issuesClosed90d": 1, "prsMerged90d": 1, "ci": { "branch": "main", "runs": 50, "success": 49, "failure": 1, "other": 0, "latest": "success", "latestAt": "2026-10-03T00:11:12Z" }, "replies": { "sampled": 9, "unanswered": 1, "medianDays": 7.4 } }, "updatedAt": "2026-11-04T20:46:30.311896646Z" } }, "answer": "Financial Datasets scores 61.8 (C) on agent readiness against Alpha Vantage's 41.5 (E), and leads in 6 of 7 scored categories. Alpha Vantage leads on maintenance \u0026 community.", "b": { "slug": "financial-datasets", "name": "Financial Datasets", "vendor": "Financial Datasets, Inc.", "vendorUrl": "https://www.financialdatasets.ai", "kind": "http-api", "category": "market-data", "summary": "Financial Datasets is a stock market data API built for AI agents, with financial statements, SEC filings, earnings, insider and institutional holdings, prices, news and macro series for 27,000 US tickers, through REST, x402 and a hosted MCP server.", "url": "https://www.anchorterminal.com/tools/financial-datasets", "markdownUrl": "https://www.anchorterminal.com/tools/financial-datasets.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/financial-datasets.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/financial-datasets.json", "dns": "financial-datasets.grade.anchorterminal.com", "repo": "https://github.com/financial-datasets", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.financialdatasets.ai", "packages": [ { "registry": "pypi", "name": "financial-datasets" } ], "auth": "mixed", "authNotes": "API key in the `X-API-KEY` header, minted in the dashboard or by `POST /agent/signup` with an email and agent name, shown once. Any documented GET data endpoint also accepts x402 payment with no key. The hosted MCP server uses OAuth 2 with PKCE, dynamic client registration, a revocation endpoint and one scope, `stock-market-data`, or an `X-API-KEY` header on its /api endpoint. Keys are revoked from the dashboard; no rotation or expiry documented.", "pricing": "usage", "pricingNotes": "Credits at $20 for 1,000 requests, one-off, personal licence, one year of price history. Personal $200 a month for 100,000 requests (overage $10 per 1,000, cap 1 million). Professional $2,000 a month for 2 million requests (overage $5 per 1,000, cap 10 million) with a commercial licence, redistribution, webhooks and uptime SLAs. Enterprise by contact. Premium endpoints count as 2, 4 or 8 requests by plan. Over x402, each GET data endpoint quotes its own USDC price in the 402 response; /earnings quoted $0.02 on 3 November 2026. No free tier found.", "priceSummary": "$0.02 / call", "where": "hosted", "x402": { "level": "yes", "evidence": "Announced 23 October 2026. Every documented GET data endpoint (36 per the announcement) returns 402 with x402 version 2 terms in the PAYMENT-REQUIRED header, scheme exact, USDC on Base (eip155:8453), payTo 0xC45E70793C01C6Ae4336dd5a5503baC958d32403, 300-second timeout. Error responses are not charged, payment settles only after a successful response, history is limited to the last 365 days and the licence is Non-Professional. Our unauthenticated GET /earnings?ticker=NVDA on 3 November 2026 returned 402 with amount 20000 base units, $0.02 (https://docs.financialdatasets.ai/x402.md).", "endpoints": [ { "url": "https://api.financialdatasets.ai/earnings", "priceUsd": 0.02, "network": "eip155:8453" } ] }, "toolCount": 28, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-03" }, "docsUrl": "https://docs.financialdatasets.ai/", "llmsTxt": "https://docs.financialdatasets.ai/llms.txt", "openapi": "https://www.financialdatasets.ai/openapi.json", "capabilities": [ "market.fundamentals", "market.filings", "market.prices", "market.history", "market.news", "market.indices", "data.markets", "data.company" ], "tags": [ "official", "hosted", "x402", "usage", "prepaid", "openapi", "llms-txt", "mcp", "remote-mcp", "oauth", "webhooks", "no-status-page", "closed-source" ], "lastRelease": "2026-10-26", "graded": true, "anchor": { "graded": true, "score": 61.8, "grade": "C", "agentReady": false, "rank": 534, "ranked": true, "rankOf": 1349, "categoryRank": 3, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 73, "maintenance": 56, "payments": 75, "reliability": 43, "schema": 80, "security": 49, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-03" }, "negative": 0, "verdict": "Every documented GET data endpoint takes x402 with no key, failed calls uncharged, and an agent can open and fund an account by API. A public OpenAPI file, llms.txt and a 28-tool OAuth MCP server cover the same data. There is no status page or free tier, keyed rate limits aren't published, and x402 data stops at 365 days.", "bestFor": "An agent doing US company research from SEC-sourced statements, filings, insider and institutional data that wants to pay per call with no account, or a small team on credits.", "strengths": [ "x402 on every documented GET data endpoint (36), USDC on Base, no key or account, error responses not charged, with the price in each 402 response ($0.02 on /earnings on 3 November 2026)", "OpenAPI 3.0.1 with 68 operations and a description on each, llms.txt, and a Markdown twin of every docs page", "`POST /agent/signup` and `POST /agent/checkout-link` let an agent open and fund an account with the owner paying a Stripe link, minimum $20", "Hosted MCP server with 28 tools, OAuth 2 PKCE and dynamic client registration, or an X-API-KEY header on /api", "Privacy policy with retention periods and a dated subprocessor list, and terms that say inputs aren't used for training" ], "weaknesses": [ "No status page, incident history or published uptime; the Professional plan's SLA terms aren't public", "No free tier. The cheapest route with a key is $20 for 1,000 credits, and data calls return 402 until an account is funded", "Rate limits for keyed plans aren't published; only x402 states 10,000 requests a minute per wallet", "x402 requests return only the last 365 days and are licensed for Non-Professional use; Credits and Personal plans carry the same limit", "No API version or changelog; the news page carries four posts in 2026, and the Python package on PyPI dates from May 2024" ], "agentNotes": [ "Without a key, read the price from the PAYMENT-REQUIRED header of the 402 and pay with x402 on Base; each page of `next_page_url` is a separate paid request", "Keep `limit` small and ask for one `period` at a time; premium endpoints count as 2, 4 or 8 requests on keyed plans", "Send the key only to api.financialdatasets.ai in the `X-API-KEY` header; on 401 ask the owner for a new key rather than signing up again", "Treat a 402 on a keyed account as an empty balance and mint a checkout link for the owner; don't retry the call", "Check the plan's licence before showing the data to anyone else; redistribution needs Professional or Enterprise" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.8 } ], "editorialScores": { "ergonomics": 73, "maintenance": 56, "payments": 75, "reliability": 43, "schema": 80, "security": 49, "transparency": 60 }, "provenanceScore": 65, "checked": { "categories": { "ergonomics": "2026-11-03", "maintenance": "2026-11-03", "payments": "2026-11-03", "reliability": "2026-11-03", "schema": "2026-11-03", "security": "2026-11-03", "transparency": "2026-11-03" }, "last": "2026-11-03", "oldest": "2026-11-03", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install financial-datasets", "http": "curl -H \"X-API-KEY: $FINANCIAL_DATASETS_KEY\" \"https://api.financialdatasets.ai/financials/income-statements?ticker=AAPL\u0026period=annual\u0026limit=4\"", "claudeCode": "claude mcp add --transport http financial-datasets https://mcp.financialdatasets.ai/", "config": { "mcpServers": { "financial-datasets": { "url": "https://mcp.financialdatasets.ai/" } } }, "x402": "curl -i \"https://api.financialdatasets.ai/earnings?ticker=NVDA\u0026limit=4\"" }, "letme": { "capability": "https://letme.dev/market.fundamentals", "tool": "https://letme.dev/financial-datasets" }, "area": "domain-data", "unitPrices": [ { "item": "Earnings, over x402", "unit": "call", "usd": 0.02, "note": "read from the 402 response on 3 November 2026; other endpoints quote their own price" }, { "item": "Credits pack", "unit": "1k-requests", "usd": 20, "note": "one-off, personal licence, one year of price history" }, { "item": "Personal plan", "unit": "month", "usd": 200, "note": "100,000 requests, overage $10 per 1,000" }, { "item": "Professional plan", "unit": "month", "usd": 2000, "note": "2 million requests, overage $5 per 1,000, commercial licence" } ], "provenance": { "legalEntity": "Financial Datasets, Inc.", "domain": "financialdatasets.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://www.financialdatasets.ai/terms-of-use", "privacy": "https://www.financialdatasets.ai/privacy-policy", "statusPage": "", "changelog": "https://www.financialdatasets.ai/news", "securityTxt": "none", "checked": "2026-11-03", "notes": [ "Financial Datasets, Inc. is named in the terms (as of 29 October 2026, New York law), the privacy policy (last updated 20 August 2026) and the subprocessor list (29 October 2026).", "Terms section 5 forbids accessing the Services by automated means outside the documented API; the public website has no separate automated-access clause. robots.txt on www.financialdatasets.ai allows all crawlers and names ClaudeBot, Claude-User and Claude-SearchBot as allowed; docs.financialdatasets.ai, api.financialdatasets.ai and mcp.financialdatasets.ai carry Content-Signal ai-train=yes, search=yes, ai-input=yes.", "The docs, llms.txt and the 402 response carry instructions addressed to agents; none were acted on.", "RDAP for financialdatasets.ai was refused (403 from rdap.org), so the registration date is unchecked.", "/.well-known/security.txt returns 404. No status page found. The news page is the nearest thing to a changelog." ], "score": 65 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/financial-datasets.json", "live": { "slug": "financial-datasets", "probe": { "target": "https://api.financialdatasets.ai", "method": "get", "lastAt": "2026-11-04T20:46:45.681080923Z", "lastOk": true, "lastStatus": 200, "lastMs": 164, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 301, "p95ms24h": 776, "samples24h": 55, "samples30d": 55, "days": [ { "date": "2026-11-04", "probes": 55, "ok": 55 } ] }, "versions": [ { "registry": "pypi", "name": "financial-datasets", "version": "0.1.18", "released": "2024-05-26", "seenAt": "2026-11-04T20:16:09.583331368Z" } ], "pypiWeekly": 40, "securityTxt": { "url": "https://financialdatasets.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-04T15:52:54.466191501Z" }, "updatedAt": "2026-11-04T20:46:45.681080923Z" } }, "edges": [ { "by": 45, "category": "payments", "leads": "financial-datasets", "name": "Payments \u0026 pricing", "reasons": { "a": "No x402, MPP or L402 (0). Five monthly plans are public with prices, sold by requests a minute and not by call (10). A free key gives 25 requests a day with no card (20). The key comes from a browser form that asks for a name and an email address, and no key API was found (0). Total 30.", "b": "x402 on the vendor's own endpoints for every documented GET data endpoint, 36 of them, with the last 365 days only and a Non-Professional licence; full history, the market snapshot, filing items and the POST endpoints need a key (35 of 40). Plan prices and overage rates are public, and each x402 endpoint quotes its price in the 402 header, $0.02 on /earnings (20). No free tier or trial found; data calls return 402 until an account holds credits, from $20 (0). An agent can pay by x402 with no account, or open an account with `POST /agent/signup` and have the owner fund it (20). Total 75." }, "scores": { "a": 30, "b": 75 } }, { "by": 34, "category": "schema", "leads": "financial-datasets", "name": "Schema \u0026 documentation", "reasons": { "a": "The surface graded is the REST API, with the official MCP server noted. No OpenAPI document was found for the API. The MCP server's tools carry typed inputs generated from Python signatures (10 of 25). `/llms.txt` returns 404, and the only Markdown is the MCP README (3 of 10). Each function has a purpose statement, a parameter list and a premium marker, with little on when not to use it (13 of 20). Required and optional parameters are marked and allowed values listed in prose, while MCP inputs such as `interval` are plain strings with no enums (8 of 15). Every function has demo URLs and code in four languages, but no error responses are documented (8 of 15). The API has no version and no changelog. The MCP repository's changelog stops at 0.3.2 on 27 February 2026 with later changes under Unreleased (4 of 15). Total 46.", "b": "OpenAPI 3.0.1 at financialdatasets.ai/openapi.json, 68 operations with 13 response codes and one security scheme, named the source of truth by the docs (25). llms.txt and a Markdown twin of every page (10). Every operation has a description, and the 402 terms carry a resource description that says when an agent should use the endpoint (17 of 20). 330 parameters, 36 with enums, 32 required, no free-form blobs (12 of 15). Code samples in Python, JavaScript and curl, x402 error values documented, but response examples on only six operations in the spec (11 of 15). No API version and no changelog; the news page has four dated posts in 2026 (5 of 15). Total 80." }, "scores": { "a": 46, "b": 80 } }, { "by": 19, "category": "ergonomics", "leads": "financial-datasets", "name": "Agent ergonomics", "reasons": { "a": "`outputsize=compact` returns the latest 100 points, `datatype=csv` shortens long series, and the MCP server previews anything over 32,000 tokens with a link to the full data. No field selection (15 of 25). `limit` and time filters on news and a `month` parameter for intraday history, with no pagination elsewhere (10 of 20). Errors and limit notices arrive as HTTP 200 with free text under `Error Message` or `Information`, undocumented (5 of 20). Every call is a GET read, and all MCP tools carry readOnlyHint true and destructiveHint false (16 of 20). Few required parameters and sensible defaults. No official SDK, only a Python CLI and community libraries (8 of 15). Total 54.", "b": "`limit` and `period` on the data endpoints, `as_reported` flags and snapshot variants, with no field selection (15 of 25). `next_page_url` cursors and ticker, CIK, market and date filters (18 of 20). A 402 body says what to do next, x402 errors carry named values, and the spec lists 400, 401, 403, 404, 409, 422, 429, 502 and 503 (16 of 20). Data calls are GETs, payment settles only after a successful response, and a replayed x402 signature is refused; no readOnlyHint found for the MCP tools and no idempotency key for the POST endpoints (14 of 20). Few required parameters, 28 compact MCP tools, but the only package, financial-datasets on PyPI, is at 0.1.18 from 26 May 2024 (10 of 15). Total 73." }, "scores": { "a": 54, "b": 73 } }, { "by": 17, "category": "security", "leads": "financial-datasets", "name": "Security \u0026 auth", "reasons": { "a": "One key per account with no scopes, documented only as `apikey=` in the query string, and replaced by emailing support. The hosted MCP server adds OAuth 2 with PKCE, dynamic client registration and one read scope (20 less 10 for the query string, so 10). Every function is read-only (15 of 20). News, sentiment and earnings transcripts are third-party text, and no guidance on treating them as untrusted was found (5 of 15). No usage log or per-call record for the key holder was found (0 of 15). security.txt returns 404, and no disclosure policy, bug bounty or certification was found. A report of keys in plain-text logs, GitHub issue 13, was closed within three days in April 2026 (2 of 20). The server source still writes the key and tool arguments into its own analytics records. Total 32.", "b": "A plain account key in the `X-API-KEY` header only, revoked from the dashboard, with no scopes, rotation or expiry; the MCP server adds OAuth 2 with PKCE (plain and S256), dynamic client registration, a revocation endpoint and one scope (20 of 30). Every data endpoint is a read; the x402 route and agent signup don't change the account beyond funding it (15 of 20). Filing text, filing items and news are third-party content, with no guidance on treating them as untrusted (5 of 15). The privacy policy says requests and responses are logged for up to three years; no per-call log is shown to the key holder (5 of 15). security.txt returns 404 and no bounty, SOC 2 or ISO 27001 was found; the terms ask for prompt notice of a compromised key and a subprocessor list is published (4 of 20). Total 49." }, "scores": { "a": 32, "b": 49 } }, { "by": 13, "category": "reliability", "leads": "financial-datasets", "name": "Reliability", "reasons": { "a": "Graded as a hosted service. No status page was found. The site links none and status.alphavantage.co has no valid certificate (0). With no page there is no incident history to read (5). Limits are published with numbers, 25 requests a day on a free key and 75 to 1,200 a minute on premium plans (15). No 429, Retry-After or backoff guidance was found, and in our test calls a missing key and an unknown function both returned HTTP 200 with a text field (0). No SLA was found, and the terms supply the service as is (0). The REST API is generally available (10). Total 30.", "b": "Graded as a hosted service. No status page was found; status.financialdatasets.ai does not resolve and no page links one (0), so there is no incident history to read (5). The only published limit is 10,000 requests a minute per wallet over x402, with monthly request caps per plan and none per minute for keyed plans (8 of 15). The OpenAPI file declares 429 and the x402 page documents a 503 with Retry-After from the facilitator and a `duplicate_payment` check on replayed signatures (10 of 15). The Professional plan lists uptime SLAs, with no figure published (10). The API is generally available (10). Total 43." }, "scores": { "a": 30, "b": 43 } }, { "by": 13, "category": "transparency", "leads": "financial-datasets", "name": "Transparency \u0026 trust", "reasons": { "a": "A closed service under short terms that are clear on scope, personal and non-commercial by default, with the MCP server under MIT (15 of 30). The privacy policy of 25 August 2025 describes the website, keeps personal data 'only for as long as is necessary' with no periods, and no DPA was found. It does not describe the request analytics visible in the MCP server source (8 of 30). No deprecation policy. The MCP README marks the key-in-URL connection deprecated with no date, and the changelog flags breaking changes (3 of 20). Google Analytics, Mixpanel, GitHub, GitLab, PayPal or Braintree and Stripe are named, and data is processed in the United States (10 of 20). Total 36.", "b": "A closed service under terms dated 29 October 2026 that name Financial Datasets, Inc., set New York law, and state the licence per plan (15 of 30). The privacy policy of 20 August 2026 gives retention periods (accounts up to seven years after closure, API and MCP logs up to three years, backups 90 days), says inputs aren't used for training, and links a subprocessor list; no DPA text was found (24 of 30). No deprecation policy; the terms say the Services may be discontinued and material changes get reasonable notice (3 of 20). Subprocessors (AWS, Heroku, Stripe, Google sign-in, Vercel) and the United States as hosting location are disclosed (18 of 20). Total 60." }, "scores": { "a": 50, "b": 63 } } ], "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Alpha Vantage Inc.", "b": "Financial Datasets, Inc.", "name": "Vendor" }, { "a": "https://www.alphavantage.co/query", "b": "https://api.financialdatasets.ai", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP, stdio", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "yes, from $0.02/call", "name": "x402" }, { "a": "Proprietary service under Alpha Vantage's Terms of Service. The MCP server, CLI and shared client in alphavantage/alpha_vantage_mcp are MIT", "b": "none", "name": "Licence" }, { "a": "none", "b": "28", "name": "Tools exposed" }, { "a": "yes", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "io.github.alphavantage/alpha_vantage_mcp", "b": "not listed", "name": "MCP registry" }, { "a": "2026-10-03", "b": "2026-10-26", "name": "Last release" }, { "a": "couldn't be read", "b": "2026-10-29", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "2026-08-20", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "yes", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "217 stars, 172 PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "3/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Financial Datasets scores 61.8 (C) on agent readiness against Alpha Vantage's 41.5 (E), and leads in 6 of 7 scored categories. Alpha Vantage leads on maintenance \u0026 community.", "question": "Which is better for AI agents, Alpha Vantage or Financial Datasets?" }, { "answer": "Both take an API key or an OAuth sign-in. An agent can also pay Financial Datasets per call over x402, with no account.", "question": "Do Alpha Vantage and Financial Datasets need an API key?" }, { "answer": "Yes. Alpha Vantage has a hosted endpoint at https://www.alphavantage.co/query and Financial Datasets at https://api.financialdatasets.ai.", "question": "Can an agent call Alpha Vantage and Financial Datasets without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Maintenance \u0026 community, 63 against 56" ], "also": [ "Runs on your own machine" ], "goodFor": "A personal research or analysis agent that wants many asset classes, fundamentals, indicators and news sentiment from one key at a flat price.", "slug": "alpha-vantage", "watchFor": "The REST key is documented only as `apikey=` in the query string, with no scopes and no self-service rotation found" }, { "aheadOn": [ "Reliability, 43 against 30", "Schema \u0026 documentation, 80 against 46", "Agent ergonomics, 73 against 54", "Security \u0026 auth, 49 against 32", "Payments \u0026 pricing, 75 against 30", "Transparency \u0026 trust, 63 against 50" ], "also": [ "An agent can pay per call over x402, with no account" ], "goodFor": "An agent doing US company research from SEC-sourced statements, filings, insider and institutional data that wants to pay per call with no account, or a small team on credits.", "slug": "financial-datasets", "watchFor": "No status page, incident history or published uptime; the Professional plan's SLA terms aren't public" } ], "history": { "alpha-vantage": [ { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.2, "from": 41.3, "fromGrade": "E", "to": 41.5, "toGrade": "E" } ], "financial-datasets": null }, "job": { "capability": "market.prices", "name": "Market prices" }, "others": [ { "json": "https://www.anchorterminal.com/compare/alpha-vantage-vs-benzinga.json", "title": "Alpha Vantage vs Benzinga", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-benzinga" }, { "json": "https://www.anchorterminal.com/compare/alpha-vantage-vs-databento.json", "title": "Alpha Vantage vs Databento", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-databento" }, { "json": "https://www.anchorterminal.com/compare/alpha-vantage-vs-eodhd.json", "title": "Alpha Vantage vs EODHD", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-eodhd" }, { "json": "https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-modeling-prep.json", "title": "Alpha Vantage vs Financial Modeling Prep", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-modeling-prep" }, { "json": "https://www.anchorterminal.com/compare/alpha-vantage-vs-finnhub.json", "title": "Alpha Vantage vs Finnhub", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-finnhub" }, { "json": "https://www.anchorterminal.com/compare/alpha-vantage-vs-intrinio.json", "title": "Alpha Vantage vs Intrinio", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-intrinio" }, { "json": "https://www.anchorterminal.com/compare/alpha-vantage-vs-massive.json", "title": "Alpha Vantage vs Massive (formerly Polygon.io)", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-massive" }, { "json": "https://www.anchorterminal.com/compare/alpha-vantage-vs-tiingo.json", "title": "Alpha Vantage vs Tiingo", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-tiingo" }, { "json": "https://www.anchorterminal.com/compare/alpha-vantage-vs-twelve-data.json", "title": "Alpha Vantage vs Twelve Data", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-twelve-data" }, { "json": "https://www.anchorterminal.com/compare/databento-vs-financial-datasets.json", "title": "Databento vs Financial Datasets", "url": "https://www.anchorterminal.com/compare/databento-vs-financial-datasets" }, { "json": "https://www.anchorterminal.com/compare/financial-datasets-vs-massive.json", "title": "Financial Datasets vs Massive (formerly Polygon.io)", "url": "https://www.anchorterminal.com/compare/financial-datasets-vs-massive" }, { "json": "https://www.anchorterminal.com/compare/financial-datasets-vs-financial-modeling-prep.json", "title": "Financial Datasets vs Financial Modeling Prep", "url": "https://www.anchorterminal.com/compare/financial-datasets-vs-financial-modeling-prep" }, { "json": "https://www.anchorterminal.com/compare/financial-datasets-vs-finnhub.json", "title": "Financial Datasets vs Finnhub", "url": "https://www.anchorterminal.com/compare/financial-datasets-vs-finnhub" }, { "json": "https://www.anchorterminal.com/compare/financial-datasets-vs-intrinio.json", "title": "Financial Datasets vs Intrinio", "url": "https://www.anchorterminal.com/compare/financial-datasets-vs-intrinio" }, { "json": "https://www.anchorterminal.com/compare/financial-datasets-vs-tiingo.json", "title": "Financial Datasets vs Tiingo", "url": "https://www.anchorterminal.com/compare/financial-datasets-vs-tiingo" }, { "json": "https://www.anchorterminal.com/compare/financial-datasets-vs-twelve-data.json", "title": "Financial Datasets vs Twelve Data", "url": "https://www.anchorterminal.com/compare/financial-datasets-vs-twelve-data" }, { "json": "https://www.anchorterminal.com/compare/eodhd-vs-financial-datasets.json", "title": "EODHD vs Financial Datasets", "url": "https://www.anchorterminal.com/compare/eodhd-vs-financial-datasets" }, { "json": "https://www.anchorterminal.com/compare/benzinga-vs-financial-datasets.json", "title": "Benzinga vs Financial Datasets", "url": "https://www.anchorterminal.com/compare/benzinga-vs-financial-datasets" } ], "panel": null, "scores": [ { "alpha-vantage": 30, "by": 13, "edge": "financial-datasets", "financial-datasets": 43, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "alpha-vantage": 46, "by": 34, "edge": "financial-datasets", "financial-datasets": 80, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "alpha-vantage": 54, "by": 19, "edge": "financial-datasets", "financial-datasets": 73, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "alpha-vantage": 32, "by": 17, "edge": "financial-datasets", "financial-datasets": 49, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "alpha-vantage": 30, "by": 45, "edge": "financial-datasets", "financial-datasets": 75, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "alpha-vantage": 63, "by": 7, "edge": "alpha-vantage", "financial-datasets": 56, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "alpha-vantage": 50, "by": 13, "edge": "financial-datasets", "financial-datasets": 63, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Financial Datasets scores 61.8 (C) on agent readiness against Alpha Vantage's 41.5 (E), and leads in 6 of 7 scored categories. Alpha Vantage leads on maintenance \u0026 community. Both do market prices. Financial Datasets accepts x402. Alpha Vantage doesn't.", "tasks": null, "tutorials": [], "verdicts": { "alpha-vantage": "One GET endpoint covers about 130 documented functions, with a free key at 25 requests a day and an official MCP server whose tools are all marked read-only. The REST key travels only in the query string, errors come back as HTTP 200 with a text message, and no status page, SLA or OpenAPI document was found.", "financial-datasets": "Every documented GET data endpoint takes x402 with no key, failed calls uncharged, and an agent can open and fund an account by API. A public OpenAPI file, llms.txt and a 28-tool OAuth MCP server cover the same data. There is no status page or free tier, keyed rate limits aren't published, and x402 data stops at 365 days." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-datasets", "json": "https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-datasets.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-datasets.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-datasets.min.md" }, "markdown": "Financial Datasets scores 61.8 (C) on agent readiness against Alpha Vantage's 41.5 (E), and leads in 6 of 7 scored categories. Alpha Vantage leads on maintenance \u0026 community. Both do market prices. Financial Datasets accepts x402. Alpha Vantage doesn't.\n\n- Alpha Vantage: grade E, 41.5/100, rank #1190 of 1349. Markdown https://www.anchorterminal.com/tools/alpha-vantage.md · JSON https://www.anchorterminal.com/api/v1/tools/alpha-vantage.json\n- Financial Datasets: grade C, 61.8/100, rank #534 of 1349. Markdown https://www.anchorterminal.com/tools/financial-datasets.md · JSON https://www.anchorterminal.com/api/v1/tools/financial-datasets.json\n- Best financial market data APIs for AI agents: https://www.anchorterminal.com/best/market-data/index.md\n- All 55 markets comparisons: https://www.anchorterminal.com/compare/market-data/index.md\n\n## Which one, for what\n\n### Alpha Vantage (E)\n\nGood for: A personal research or analysis agent that wants many asset classes, fundamentals, indicators and news sentiment from one key at a flat price.\n\nAhead on:\n- Maintenance \u0026 community, 63 against 56\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: The REST key is documented only as `apikey=` in the query string, with no scopes and no self-service rotation found\n\n### Financial Datasets (C)\n\nGood for: An agent doing US company research from SEC-sourced statements, filings, insider and institutional data that wants to pay per call with no account, or a small team on credits.\n\nAhead on:\n- Reliability, 43 against 30\n- Schema \u0026 documentation, 80 against 46\n- Agent ergonomics, 73 against 54\n- Security \u0026 auth, 49 against 32\n- Payments \u0026 pricing, 75 against 30\n- Transparency \u0026 trust, 63 against 50\n\nAlso in its favour:\n- An agent can pay per call over x402, with no account\n\nWatch for: No status page, incident history or published uptime; the Professional plan's SLA terms aren't public\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Financial Datasets +45\n\n- Alpha Vantage (30): No x402, MPP or L402 (0). Five monthly plans are public with prices, sold by requests a minute and not by call (10). A free key gives 25 requests a day with no card (20). The key comes from a browser form that asks for a name and an email address, and no key API was found (0). Total 30.\n- Financial Datasets (75): x402 on the vendor's own endpoints for every documented GET data endpoint, 36 of them, with the last 365 days only and a Non-Professional licence; full history, the market snapshot, filing items and the POST endpoints need a key (35 of 40). Plan prices and overage rates are public, and each x402 endpoint quotes its price in the 402 header, $0.02 on /earnings (20). No free tier or trial found; data calls return 402 until an account holds credits, from $20 (0). An agent can pay by x402 with no account, or open an account with `POST /agent/signup` and have the owner fund it (20). Total 75.\n\n### Schema \u0026 documentation: Financial Datasets +34\n\n- Alpha Vantage (46): The surface graded is the REST API, with the official MCP server noted. No OpenAPI document was found for the API. The MCP server's tools carry typed inputs generated from Python signatures (10 of 25). `/llms.txt` returns 404, and the only Markdown is the MCP README (3 of 10). Each function has a purpose statement, a parameter list and a premium marker, with little on when not to use it (13 of 20). Required and optional parameters are marked and allowed values listed in prose, while MCP inputs such as `interval` are plain strings with no enums (8 of 15). Every function has demo URLs and code in four languages, but no error responses are documented (8 of 15). The API has no version and no changelog. The MCP repository's changelog stops at 0.3.2 on 27 February 2026 with later changes under Unreleased (4 of 15). Total 46.\n- Financial Datasets (80): OpenAPI 3.0.1 at financialdatasets.ai/openapi.json, 68 operations with 13 response codes and one security scheme, named the source of truth by the docs (25). llms.txt and a Markdown twin of every page (10). Every operation has a description, and the 402 terms carry a resource description that says when an agent should use the endpoint (17 of 20). 330 parameters, 36 with enums, 32 required, no free-form blobs (12 of 15). Code samples in Python, JavaScript and curl, x402 error values documented, but response examples on only six operations in the spec (11 of 15). No API version and no changelog; the news page has four dated posts in 2026 (5 of 15). Total 80.\n\n### Agent ergonomics: Financial Datasets +19\n\n- Alpha Vantage (54): `outputsize=compact` returns the latest 100 points, `datatype=csv` shortens long series, and the MCP server previews anything over 32,000 tokens with a link to the full data. No field selection (15 of 25). `limit` and time filters on news and a `month` parameter for intraday history, with no pagination elsewhere (10 of 20). Errors and limit notices arrive as HTTP 200 with free text under `Error Message` or `Information`, undocumented (5 of 20). Every call is a GET read, and all MCP tools carry readOnlyHint true and destructiveHint false (16 of 20). Few required parameters and sensible defaults. No official SDK, only a Python CLI and community libraries (8 of 15). Total 54.\n- Financial Datasets (73): `limit` and `period` on the data endpoints, `as_reported` flags and snapshot variants, with no field selection (15 of 25). `next_page_url` cursors and ticker, CIK, market and date filters (18 of 20). A 402 body says what to do next, x402 errors carry named values, and the spec lists 400, 401, 403, 404, 409, 422, 429, 502 and 503 (16 of 20). Data calls are GETs, payment settles only after a successful response, and a replayed x402 signature is refused; no readOnlyHint found for the MCP tools and no idempotency key for the POST endpoints (14 of 20). Few required parameters, 28 compact MCP tools, but the only package, financial-datasets on PyPI, is at 0.1.18 from 26 May 2024 (10 of 15). Total 73.\n\n### Security \u0026 auth: Financial Datasets +17\n\n- Alpha Vantage (32): One key per account with no scopes, documented only as `apikey=` in the query string, and replaced by emailing support. The hosted MCP server adds OAuth 2 with PKCE, dynamic client registration and one read scope (20 less 10 for the query string, so 10). Every function is read-only (15 of 20). News, sentiment and earnings transcripts are third-party text, and no guidance on treating them as untrusted was found (5 of 15). No usage log or per-call record for the key holder was found (0 of 15). security.txt returns 404, and no disclosure policy, bug bounty or certification was found. A report of keys in plain-text logs, GitHub issue 13, was closed within three days in April 2026 (2 of 20). The server source still writes the key and tool arguments into its own analytics records. Total 32.\n- Financial Datasets (49): A plain account key in the `X-API-KEY` header only, revoked from the dashboard, with no scopes, rotation or expiry; the MCP server adds OAuth 2 with PKCE (plain and S256), dynamic client registration, a revocation endpoint and one scope (20 of 30). Every data endpoint is a read; the x402 route and agent signup don't change the account beyond funding it (15 of 20). Filing text, filing items and news are third-party content, with no guidance on treating them as untrusted (5 of 15). The privacy policy says requests and responses are logged for up to three years; no per-call log is shown to the key holder (5 of 15). security.txt returns 404 and no bounty, SOC 2 or ISO 27001 was found; the terms ask for prompt notice of a compromised key and a subprocessor list is published (4 of 20). Total 49.\n\n### Reliability: Financial Datasets +13\n\n- Alpha Vantage (30): Graded as a hosted service. No status page was found. The site links none and status.alphavantage.co has no valid certificate (0). With no page there is no incident history to read (5). Limits are published with numbers, 25 requests a day on a free key and 75 to 1,200 a minute on premium plans (15). No 429, Retry-After or backoff guidance was found, and in our test calls a missing key and an unknown function both returned HTTP 200 with a text field (0). No SLA was found, and the terms supply the service as is (0). The REST API is generally available (10). Total 30.\n- Financial Datasets (43): Graded as a hosted service. No status page was found; status.financialdatasets.ai does not resolve and no page links one (0), so there is no incident history to read (5). The only published limit is 10,000 requests a minute per wallet over x402, with monthly request caps per plan and none per minute for keyed plans (8 of 15). The OpenAPI file declares 429 and the x402 page documents a 503 with Retry-After from the facilitator and a `duplicate_payment` check on replayed signatures (10 of 15). The Professional plan lists uptime SLAs, with no figure published (10). The API is generally available (10). Total 43.\n\n### Transparency \u0026 trust: Financial Datasets +13\n\n- Alpha Vantage (50): A closed service under short terms that are clear on scope, personal and non-commercial by default, with the MCP server under MIT (15 of 30). The privacy policy of 25 August 2025 describes the website, keeps personal data 'only for as long as is necessary' with no periods, and no DPA was found. It does not describe the request analytics visible in the MCP server source (8 of 30). No deprecation policy. The MCP README marks the key-in-URL connection deprecated with no date, and the changelog flags breaking changes (3 of 20). Google Analytics, Mixpanel, GitHub, GitLab, PayPal or Braintree and Stripe are named, and data is processed in the United States (10 of 20). Total 36.\n- Financial Datasets (63): A closed service under terms dated 29 October 2026 that name Financial Datasets, Inc., set New York law, and state the licence per plan (15 of 30). The privacy policy of 20 August 2026 gives retention periods (accounts up to seven years after closure, API and MCP logs up to three years, backups 90 days), says inputs aren't used for training, and links a subprocessor list; no DPA text was found (24 of 30). No deprecation policy; the terms say the Services may be discontinued and material changes get reasonable notice (3 of 20). Subprocessors (AWS, Heroku, Stripe, Google sign-in, Vercel) and the United States as hosting location are disclosed (18 of 20). Total 60.\n\n## Score by category\n\n| Category | Weight | Alpha Vantage | Financial Datasets | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 43 | Financial Datasets +13 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 46 | 80 | Financial Datasets +34 |\n| Agent ergonomics | 13% (16.2 this run) | 54 | 73 | Financial Datasets +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 32 | 49 | Financial Datasets +17 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 75 | Financial Datasets +45 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 63 | 56 | Alpha Vantage +7 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 50 | 63 | Financial Datasets +13 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **41.5 · E** | **61.8 · C** | |\n\n## Facts side by side\n\n| Fact | Alpha Vantage | Financial Datasets |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Alpha Vantage Inc. | Financial Datasets, Inc. |\n| Hosted endpoint | `https://www.alphavantage.co/query` | `https://api.financialdatasets.ai` |\n| Transports | HTTP, Streamable HTTP, stdio | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | yes, from $0.02/call |\n| Licence | Proprietary service under Alpha Vantage's Terms of Service. The MCP server, CLI and shared client in alphavantage/alpha_vantage_mcp are MIT | none |\n| Tools exposed | none | 28 |\n| Read-only variant documented | yes | no |\n| llms.txt | no | yes |\n| MCP registry | `io.github.alphavantage/alpha_vantage_mcp` | not listed |\n| Last release | 2026-10-03 | 2026-10-26 |\n| Terms last updated | couldn't be read | 2026-10-29 |\n| Privacy policy last updated | couldn't be read | 2026-08-20 |\n| Customer content may train models | couldn't be read | not found in the text |\n| Terms restrict automated access | couldn't be read | yes |\n| Terms restrict benchmarking | couldn't be read | yes |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | not found in the text |\n| Popularity | 217 stars, 172 PyPI/wk | none |\n| Agent reviews | 3/5 (4) | none |\n\n## How the scores have moved\n\n### Alpha Vantage\n\n- +0.2 on 27 October 2026: checklist\n\n### Financial Datasets\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Alpha Vantage.** One GET endpoint covers about 130 documented functions, with a free key at 25 requests a day and an official MCP server whose tools are all marked read-only. The REST key travels only in the query string, errors come back as HTTP 200 with a text message, and no status page, SLA or OpenAPI document was found.\n\n**Financial Datasets.** Every documented GET data endpoint takes x402 with no key, failed calls uncharged, and an agent can open and fund an account by API. A public OpenAPI file, llms.txt and a 28-tool OAuth MCP server cover the same data. There is no status page or free tier, keyed rate limits aren't published, and x402 data stops at 365 days.\n\n## Before you call either\n\n### Alpha Vantage\n\n1. Check every 200 response for `Error Message`, `Information` or `Note` keys before parsing data. The API does not signal failures or limits by status code\n2. Budget 25 requests a day on a free key. Real-time, 15-minute delayed and intraday US data, index data and several indicators need a premium plan\n3. Keep `outputsize=compact` unless full history is needed, and ask for `datatype=csv` on long series to cut tokens\n4. Use the hosted MCP server with OAuth at `https://mcp.alphavantage.co/mcp`. The `?apikey=` MCP URL is marked deprecated\n5. Confirm the owner's use is personal and non-commercial, or that a commercial agreement exists, before acting for a business\n\n### Financial Datasets\n\n1. Without a key, read the price from the PAYMENT-REQUIRED header of the 402 and pay with x402 on Base; each page of `next_page_url` is a separate paid request\n2. Keep `limit` small and ask for one `period` at a time; premium endpoints count as 2, 4 or 8 requests on keyed plans\n3. Send the key only to api.financialdatasets.ai in the `X-API-KEY` header; on 401 ask the owner for a new key rather than signing up again\n4. Treat a 402 on a keyed account as an empty balance and mint a checkout link for the owner; don't retry the call\n5. Check the plan's licence before showing the data to anyone else; redistribution needs Professional or Enterprise\n\n## Questions\n\n### Which is better for AI agents, Alpha Vantage or Financial Datasets?\n\nFinancial Datasets scores 61.8 (C) on agent readiness against Alpha Vantage's 41.5 (E), and leads in 6 of 7 scored categories. Alpha Vantage leads on maintenance \u0026 community.\n\n### Do Alpha Vantage and Financial Datasets need an API key?\n\nBoth take an API key or an OAuth sign-in. An agent can also pay Financial Datasets per call over x402, with no account.\n\n### Can an agent call Alpha Vantage and Financial Datasets without installing anything?\n\nYes. Alpha Vantage has a hosted endpoint at https://www.alphavantage.co/query and Financial Datasets at https://api.financialdatasets.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-datasets.json, and with the fewest tokens: https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-datasets.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"alpha-vantage\", \"b\": \"financial-datasets\"}`. From a terminal: `anchor compare alpha-vantage financial-datasets`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/alpha-vantage.json and https://www.anchorterminal.com/api/v1/tools/financial-datasets.json\n\n## Other comparisons with Alpha Vantage or Financial Datasets\n\n- [Alpha Vantage vs Benzinga](https://www.anchorterminal.com/compare/alpha-vantage-vs-benzinga.md)\n- [Alpha Vantage vs Databento](https://www.anchorterminal.com/compare/alpha-vantage-vs-databento.md)\n- [Alpha Vantage vs EODHD](https://www.anchorterminal.com/compare/alpha-vantage-vs-eodhd.md)\n- [Alpha Vantage vs Financial Modeling Prep](https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-modeling-prep.md)\n- [Alpha Vantage vs Finnhub](https://www.anchorterminal.com/compare/alpha-vantage-vs-finnhub.md)\n- [Alpha Vantage vs Intrinio](https://www.anchorterminal.com/compare/alpha-vantage-vs-intrinio.md)\n- [Alpha Vantage vs Massive (formerly Polygon.io)](https://www.anchorterminal.com/compare/alpha-vantage-vs-massive.md)\n- [Alpha Vantage vs Tiingo](https://www.anchorterminal.com/compare/alpha-vantage-vs-tiingo.md)\n- [Alpha Vantage vs Twelve Data](https://www.anchorterminal.com/compare/alpha-vantage-vs-twelve-data.md)\n- [Databento vs Financial Datasets](https://www.anchorterminal.com/compare/databento-vs-financial-datasets.md)\n- [Financial Datasets vs Massive (formerly Polygon.io)](https://www.anchorterminal.com/compare/financial-datasets-vs-massive.md)\n- [Financial Datasets vs Financial Modeling Prep](https://www.anchorterminal.com/compare/financial-datasets-vs-financial-modeling-prep.md)\n- [Financial Datasets vs Finnhub](https://www.anchorterminal.com/compare/financial-datasets-vs-finnhub.md)\n- [Financial Datasets vs Intrinio](https://www.anchorterminal.com/compare/financial-datasets-vs-intrinio.md)\n- [Financial Datasets vs Tiingo](https://www.anchorterminal.com/compare/financial-datasets-vs-tiingo.md)\n- [Financial Datasets vs Twelve Data](https://www.anchorterminal.com/compare/financial-datasets-vs-twelve-data.md)\n- [EODHD vs Financial Datasets](https://www.anchorterminal.com/compare/eodhd-vs-financial-datasets.md)\n- [Benzinga vs Financial Datasets](https://www.anchorterminal.com/compare/benzinga-vs-financial-datasets.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": "2026-11-04", "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": "Alpha Vantage vs Financial Datasets", "url": "" } ], "description": "Financial Datasets scores 61.8 (C) to Alpha Vantage's 41.5 (E) for market prices. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Alpha Vantage E 41.5", "Financial Datasets C 61.8", "scores" ], "h1": "Alpha Vantage vs Financial Datasets", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/alpha-vantage-vs-financial-datasets", "published": "2026-10-01", "section": "tools", "title": "Alpha Vantage vs Financial Datasets for AI agents (2026)", "toc": null, "updated": "2026-11-04", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-datasets" }, "tokens": { "markdown": 4750, "slim": 2980 }, "version": 1 }