{ "data": { "a": { "slug": "databento", "name": "Databento", "vendor": "Databento, Inc.", "vendorUrl": "https://databento.com", "kind": "http-api", "category": "market-data", "summary": "Databento is a market data platform with historical and live tick, order book and bar data for US and European equities, futures, options and indices, through HTTP and streaming APIs with Python, C++ and Rust clients.", "url": "https://www.anchorterminal.com/tools/databento", "markdownUrl": "https://www.anchorterminal.com/tools/databento.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/databento.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/databento.json", "dns": "databento.grade.anchorterminal.com", "repo": "https://github.com/databento/databento-python", "license": "Apache-2.0 (clients)", "transports": [ "http" ], "remoteUrl": "https://hist.databento.com", "packages": [ { "registry": "pypi", "name": "databento" } ], "auth": "api-key", "authNotes": "API key (32 characters starting `db-`) created in the portal, up to 100 per account with unique names, rotated or deleted from the portal, and sent as the username in HTTP Basic auth (`-u $KEY:`). Team members can be given per-member permissions. The vendor revokes keys it finds published. No query-string option.", "pricing": "usage", "pricingNotes": "Historical data is metered per GB of uncompressed binary data at rates per dataset in the portal catalogue, with no subscription; batch jobs are billed once and streams per byte sent. New users get $125 of credits valid six months, one set per team, for historical data or the first month of a plan. Live data needs a plan, Standard at $199 a month (no licence fees), Plus $1,750 and Unlimited $4,500 a month in licence fees on annual contracts by sales. Metadata, symbology and account calls are free.", "priceSummary": "$199 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, llms.txt, pricing page or release notes (checked 2026-11-03).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 309, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-03" }, "docsUrl": "https://databento.com/docs/", "llmsTxt": "https://databento.com/docs/llms.txt", "capabilities": [ "market.prices", "market.history", "market.indices", "data.markets" ], "tags": [ "official", "hosted", "usage", "usage-priced", "free-tier", "llms-txt", "status-page", "pre-1.0", "python", "rust", "closed-source" ], "lastRelease": "2026-10-28", "graded": true, "anchor": { "graded": true, "score": 60.3, "grade": "C", "agentReady": false, "rank": 578, "ranked": true, "rankOf": 1349, "categoryRank": 4, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 84, "payments": 22, "reliability": 50, "schema": 75, "security": 61, "transparency": 49 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-03" }, "negative": 0, "verdict": "Exchange-level tick and order book data metered per GB, with published per-IP rate limits, Retry-After on 429, dated release notes and clients in three languages. The HTTP API is still at major version 0, the status page lists two critical and several major incidents in 90 days, there is no OpenAPI document, and the legal pages were unreadable.", "bestFor": "An agent that needs exchange-level trades, quotes, order book and bar data for US and European futures, options and equities, or corporate actions and a security master, and can budget per GB.", "strengths": [ "Per-IP rate limits published with numbers, 429 with Retry-After, and a documented error format with a code, a message and a docs link", "`metadata.get_cost` quotes a request before it is billed, batch jobs are billed once with 30 days of re-download, and a monthly historical spending limit can be set in the portal", "Dated release notes per component with breaking changes and deprecations called out, and Python 0.85.0 to 0.89.0 released between 25 August and 28 October 2026", "Up to 100 named API keys per account with rotation, per-member permissions, and keys found in public revoked by the vendor", "$125 of credits at signup and metered historical pricing with no subscription; metadata and symbology calls are free" ], "weaknesses": [ "Two critical and several major incidents on the status page in the 90 days to 3 November 2026, mostly Historical API outages and batch job delays", "The HTTP API is at major version 0 and the docs say it is not considered stable", "No OpenAPI document; per-GB rates sit in the portal catalogue behind a login, and the pricing page shows plans only", "The terms and privacy policy are drawn by script and could not be read, and no security.txt, SOC 2 or ISO 27001 was found", "Live data and the Plus and Unlimited plans need a subscription on an annual contract by sales, and signup is in a browser" ], "agentNotes": [ "Call `metadata.get_cost` before `timeseries.get_range`, and set a monthly historical limit in the portal; a duplicate streaming request is charged twice", "Send the key as the Basic auth username (`-u $DATABENTO_API_KEY:`) to hist.databento.com/v0; never put it in the URL or source code", "On 429 wait for the Retry-After header; keep under 100 time series requests a second and 20 batch submissions a minute per IP", "Check status.databento.com before retrying a slow or 504 Historical request, since several incidents since August were API outages or batch delays", "Use batch download for requests over 5 GB, split by time range or `limit`, and read `schema` and `stype_in` from the dataset page before querying" ], "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": 60.3 } ], "editorialScores": { "ergonomics": 80, "maintenance": 84, "payments": 22, "reliability": 50, "schema": 75, "security": 61, "transparency": 28 }, "provenanceScore": 70, "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 databento", "http": "curl -G 'https://hist.databento.com/v0/metadata.list_datasets' -u $DATABENTO_API_KEY:" }, "letme": { "capability": "https://letme.dev/market.prices", "tool": "https://letme.dev/databento" }, "area": "domain-data", "unitPrices": [ { "item": "Standard plan", "unit": "month", "usd": 199, "note": "live data, no licence fees, monthly" }, { "item": "Plus plan licence fees", "unit": "month", "usd": 1750, "note": "annual contract, by sales" }, { "item": "Unlimited plan licence fees", "unit": "month", "usd": 4500, "note": "annual contract, by sales" } ], "provenance": { "legalEntity": "Databento, Inc.", "domain": "databento.com", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://databento.com/legal/terms", "privacy": "https://databento.com/legal/privacy", "statusPage": "https://status.databento.com", "changelog": "https://databento.com/docs/release-notes", "securityTxt": "none", "checked": "2026-11-03", "notes": [ "Databento, Inc. is named in the about page footer and as the GitHub organisation's name. The legal pages at databento.com/legal, /legal/terms and /legal/privacy answer 200 with a script shell and no text, so the terms, privacy policy, legal entity details and any automated-access clause are unread.", "databento.com/robots.txt disallows only /portal for all crawlers. status.databento.com and roadmap.databento.com allow reading.", "RDAP for databento.com was refused (403 from rdap.org), so the registration date is unchecked.", "/.well-known/security.txt returns 404.", "The status page is an Atlassian Statuspage at status.databento.com with Portal, Historical, FTP and seven live-feed components." ], "score": 70 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/databento.json", "live": { "slug": "databento", "probe": { "target": "https://hist.databento.com", "method": "get", "lastAt": "2026-11-04T20:04:57.899875867Z", "lastOk": true, "lastStatus": 200, "lastMs": 248, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 340, "p95ms24h": 1849, "samples24h": 48, "samples30d": 48, "days": [ { "date": "2026-11-04", "probes": 48, "ok": 48 } ] }, "vendorStatus": { "page": "https://status.databento.com", "indicator": "minor", "summary": "Minor Service Outage", "checkedAt": "2026-11-04T20:05:03.005733629Z" }, "securityTxt": { "url": "https://databento.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-04T15:54:13.184390241Z" }, "updatedAt": "2026-11-04T20:04:57.899875867Z" } }, "answer": "Financial Datasets scores 61.8 (C) on agent readiness against Databento's 60.3 (C), and leads in 3 of 7 scored categories. Databento leads on reliability, agent ergonomics, security \u0026 auth and 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": 492, "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": "2026-11-04T20:05:01.616956895Z", "lastOk": true, "lastStatus": 200, "lastMs": 172, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 301, "p95ms24h": 776, "samples24h": 48, "samples30d": 48, "days": [ { "date": "2026-11-04", "probes": 48, "ok": 48 } ] }, "securityTxt": { "url": "https://financialdatasets.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-04T15:52:54.466191501Z" }, "updatedAt": "2026-11-04T20:05:01.616956895Z" } }, "edges": [ { "by": 53, "category": "payments", "leads": "financial-datasets", "name": "Payments \u0026 pricing", "reasons": { "a": "No x402, MPP or L402 (0). Plans are public ($199, $1,750 and $4,500 a month) and historical data is metered per GB, but the per-dataset rates are in the portal catalogue behind a login and the pricing page's estimator shows only an example (12 of 20). $125 of credits for every new user, expiring after six months; whether a card is needed at signup was not found on the pricing, credits or billing pages (10 of 20). A person signs up in a browser and creates keys in the portal; no key API (0). Total 22.", "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": 22, "b": 75 } }, { "by": 28, "category": "maintenance", "leads": "databento", "name": "Maintenance \u0026 community", "reasons": { "a": "Python 0.89.0 on 28 October 2026 and data release notes dated 20 October (30). Python 0.85.0 (25 August), 0.86.0 (1 September), 0.87.0 (22 September), 0.88.0 (21 October) and 0.89.0, plus Rust 0.64.0 and C++ 0.69.0 on 27 October and four dated data notes since 8 August (20). A Slack community, Intercom chat, support@databento.com, a public roadmap and a public issue tracker linked from the release notes; GitHub issue replies were not read because the GitHub API rate limit was reached (12 of 15). Official clients in Python, C++ and Rust released the same week as each other (15). The Python client is Apache-2.0 with releases on GitHub and PyPI; CI and dependency pins were not checked (7 of 10). Total 84.", "b": "UK fundamentals went live on 26 October 2026, India on 23 October, with Japan and South Korea dated for November on the coverage page (30). Dated changes in the last 90 days are x402 on 23 October, UK fundamentals on 26 October, terms and subprocessor list on 29 October, privacy policy on 20 August, with no changelog as such (12 of 20). Contact is a form and the dashboard; no support email, Discord or forum was found, and the GitHub organisation's four repositories couldn't be read because the GitHub API rate limit was reached (6 of 15). The PyPI package is 0.1.18 of 26 May 2024 by the founder, and the docs point to the OpenAPI file and the MCP server rather than an SDK (5 of 15). Package health unknown, dependencies not checked (3 of 10). Total 56." }, "scores": { "a": 84, "b": 56 } }, { "by": 14, "category": "transparency", "leads": "financial-datasets", "name": "Transparency \u0026 trust", "reasons": { "a": "A closed service whose terms could not be read, because databento.com/legal and its /terms and /privacy pages are drawn by script; the client libraries are Apache-2.0 (10 of 30). The privacy policy was unread for the same reason, and the docs say nothing about retention of account data (0 of 30, unchecked). Dated release notes carry deprecations, and the versioning policy keeps a prior major version for a year after the next (18 of 20). No subprocessor list or data location statement was found on readable pages; the architecture docs name the company's own data centres (0 of 20). Total 28.", "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": 49, "b": 63 } }, { "by": 12, "category": "security", "leads": "databento", "name": "Security \u0026 auth", "reasons": { "a": "Named API keys, up to 100 per account, rotated or deleted in the portal, with per-member permissions, sent only as the Basic auth username; no scopes per key and no expiry (25 of 30). Every API call is a read, and a monthly historical limit caps what a leaked key can spend; live usage is not capped (14 of 20). The API returns market data and reference records, not free text from third parties (10). A data usage page in the portal and a billing page per cycle, with no per-key call log documented (8 of 15). The vendor revokes keys it finds in public and documents key hygiene; security.txt returns 404 and no bounty, SOC 2 or ISO 27001 was found on readable pages (4 of 20). Total 61.", "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": 61, "b": 49 } }, { "by": 7, "category": "reliability", "leads": "databento", "name": "Reliability", "reasons": { "a": "Graded as a hosted service. Atlassian Statuspage at status.databento.com with ten components, Portal, Historical, FTP and seven live feeds (20). The incident feed for the 90 days to 3 November 2026 lists a critical outage of the portal and Historical API on 6 August lasting about eight hours, critical live authentication timeouts in NY4 on 28 August for about seven hours, major batch job delays of about two days each opened on 6 and 12 October, a six-hour GLBX.MDP3 delay in the Historical API on 6 October, and a Frankfurt outage affecting XEUR and XEEE opened on 2 November and still in monitoring. Several majors (0 of 30). Per-IP limits are published with numbers (15). 429 with a Retry-After header and a code to sleep on it; streams cut off aren't billed for unsent data, batch jobs are billed once (15). No SLA found; the pricing page names none and the terms were unreadable (0). The HTTP API is at major version 0 and the docs say it is not considered stable (0 of 10). Total 50.", "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": 50, "b": 43 } }, { "by": 7, "category": "ergonomics", "leads": "databento", "name": "Agent ergonomics", "reasons": { "a": "`limit`, time ranges to the nanosecond, schema choice from trades to daily bars, encoding choice and `metadata.get_cost` to size a request before paying (20 of 25). Symbol, date and schema filters, batch jobs listed and fetched by id, no cursor pagination because ranges are split by time (16 of 20). Errors carry an HTTP code, a named identifier, a message and a docs link, with 206 for partially resolved symbols (17 of 20). Reads only on the historical and reference APIs; a duplicate streaming request is charged twice, batch is billed once, and the portal can cap monthly spend (12 of 20). Few required parameters, and official clients in Python, C++ and Rust (15). Total 80.", "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": 80, "b": 73 } } ], "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Databento, Inc.", "b": "Financial Datasets, Inc.", "name": "Vendor" }, { "a": "https://hist.databento.com", "b": "https://api.financialdatasets.ai", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "yes, from $0.02/call", "name": "x402" }, { "a": "Apache-2.0 (clients)", "b": "none", "name": "Licence" }, { "a": "none", "b": "28", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-28", "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": "309 stars", "b": "none", "name": "Popularity" } ], "faq": [ { "answer": "Financial Datasets scores 61.8 (C) on agent readiness against Databento's 60.3 (C), and leads in 3 of 7 scored categories. Databento leads on reliability, agent ergonomics, security \u0026 auth and maintenance \u0026 community.", "question": "Which is better for AI agents, Databento or Financial Datasets?" }, { "answer": "Databento needs an API key. Financial Datasets takes an API key or an OAuth sign-in. An agent can also pay Financial Datasets per call over x402, with no account.", "question": "Do Databento and Financial Datasets need an API key?" }, { "answer": "Yes. Databento has a hosted endpoint at https://hist.databento.com and Financial Datasets at https://api.financialdatasets.ai.", "question": "Can an agent call Databento and Financial Datasets without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 50 against 43", "Agent ergonomics, 80 against 73", "Security \u0026 auth, 61 against 49", "Maintenance \u0026 community, 84 against 56" ], "also": null, "goodFor": "An agent that needs exchange-level trades, quotes, order book and bar data for US and European futures, options and equities, or corporate actions and a security master, and can budget per GB.", "slug": "databento", "watchFor": "Two critical and several major incidents on the status page in the 90 days to 3 November 2026, mostly Historical API outages and batch job delays" }, { "aheadOn": [ "Schema \u0026 documentation, 80 against 75", "Payments \u0026 pricing, 75 against 22", "Transparency \u0026 trust, 63 against 49" ], "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": null, "job": { "capability": "market.prices", "name": "Market prices" }, "others": [ { "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-financial-datasets.json", "title": "Alpha Vantage vs Financial Datasets", "url": "https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-datasets" }, { "json": "https://www.anchorterminal.com/compare/benzinga-vs-databento.json", "title": "Benzinga vs Databento", "url": "https://www.anchorterminal.com/compare/benzinga-vs-databento" }, { "json": "https://www.anchorterminal.com/compare/databento-vs-eodhd.json", "title": "Databento vs EODHD", "url": "https://www.anchorterminal.com/compare/databento-vs-eodhd" }, { "json": "https://www.anchorterminal.com/compare/databento-vs-financial-modeling-prep.json", "title": "Databento vs Financial Modeling Prep", "url": "https://www.anchorterminal.com/compare/databento-vs-financial-modeling-prep" }, { "json": "https://www.anchorterminal.com/compare/databento-vs-finnhub.json", "title": "Databento vs Finnhub", "url": "https://www.anchorterminal.com/compare/databento-vs-finnhub" }, { "json": "https://www.anchorterminal.com/compare/databento-vs-intrinio.json", "title": "Databento vs Intrinio", "url": "https://www.anchorterminal.com/compare/databento-vs-intrinio" }, { "json": "https://www.anchorterminal.com/compare/databento-vs-massive.json", "title": "Databento vs Massive (formerly Polygon.io)", "url": "https://www.anchorterminal.com/compare/databento-vs-massive" }, { "json": "https://www.anchorterminal.com/compare/databento-vs-tiingo.json", "title": "Databento vs Tiingo", "url": "https://www.anchorterminal.com/compare/databento-vs-tiingo" }, { "json": "https://www.anchorterminal.com/compare/databento-vs-twelve-data.json", "title": "Databento vs Twelve Data", "url": "https://www.anchorterminal.com/compare/databento-vs-twelve-data" }, { "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": [ { "by": 7, "databento": 50, "edge": "databento", "financial-datasets": 43, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 5, "databento": 75, "edge": "financial-datasets", "financial-datasets": 80, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 7, "databento": 80, "edge": "databento", "financial-datasets": 73, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 12, "databento": 61, "edge": "databento", "financial-datasets": 49, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 53, "databento": 22, "edge": "financial-datasets", "financial-datasets": 75, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 28, "databento": 84, "edge": "databento", "financial-datasets": 56, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 14, "databento": 49, "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 Databento's 60.3 (C), and leads in 3 of 7 scored categories. Databento leads on reliability, agent ergonomics, security \u0026 auth and maintenance \u0026 community. Both do market prices. Financial Datasets accepts x402. Databento doesn't.", "tasks": null, "tutorials": [], "verdicts": { "databento": "Exchange-level tick and order book data metered per GB, with published per-IP rate limits, Retry-After on 429, dated release notes and clients in three languages. The HTTP API is still at major version 0, the status page lists two critical and several major incidents in 90 days, there is no OpenAPI document, and the legal pages were unreadable.", "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/databento-vs-financial-datasets", "json": "https://www.anchorterminal.com/compare/databento-vs-financial-datasets.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/databento-vs-financial-datasets.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/databento-vs-financial-datasets.min.md" }, "markdown": "Financial Datasets scores 61.8 (C) on agent readiness against Databento's 60.3 (C), and leads in 3 of 7 scored categories. Databento leads on reliability, agent ergonomics, security \u0026 auth and maintenance \u0026 community. Both do market prices. Financial Datasets accepts x402. Databento doesn't.\n\n- Databento: grade C, 60.3/100, rank #578 of 1349. Markdown https://www.anchorterminal.com/tools/databento.md · JSON https://www.anchorterminal.com/api/v1/tools/databento.json\n- Financial Datasets: grade C, 61.8/100, rank #492 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### Databento (C)\n\nGood for: An agent that needs exchange-level trades, quotes, order book and bar data for US and European futures, options and equities, or corporate actions and a security master, and can budget per GB.\n\nAhead on:\n- Reliability, 50 against 43\n- Agent ergonomics, 80 against 73\n- Security \u0026 auth, 61 against 49\n- Maintenance \u0026 community, 84 against 56\n\nWatch for: Two critical and several major incidents on the status page in the 90 days to 3 November 2026, mostly Historical API outages and batch job delays\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- Schema \u0026 documentation, 80 against 75\n- Payments \u0026 pricing, 75 against 22\n- Transparency \u0026 trust, 63 against 49\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 +53\n\n- Databento (22): No x402, MPP or L402 (0). Plans are public ($199, $1,750 and $4,500 a month) and historical data is metered per GB, but the per-dataset rates are in the portal catalogue behind a login and the pricing page's estimator shows only an example (12 of 20). $125 of credits for every new user, expiring after six months; whether a card is needed at signup was not found on the pricing, credits or billing pages (10 of 20). A person signs up in a browser and creates keys in the portal; no key API (0). Total 22.\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### Maintenance \u0026 community: Databento +28\n\n- Databento (84): Python 0.89.0 on 28 October 2026 and data release notes dated 20 October (30). Python 0.85.0 (25 August), 0.86.0 (1 September), 0.87.0 (22 September), 0.88.0 (21 October) and 0.89.0, plus Rust 0.64.0 and C++ 0.69.0 on 27 October and four dated data notes since 8 August (20). A Slack community, Intercom chat, support@databento.com, a public roadmap and a public issue tracker linked from the release notes; GitHub issue replies were not read because the GitHub API rate limit was reached (12 of 15). Official clients in Python, C++ and Rust released the same week as each other (15). The Python client is Apache-2.0 with releases on GitHub and PyPI; CI and dependency pins were not checked (7 of 10). Total 84.\n- Financial Datasets (56): UK fundamentals went live on 26 October 2026, India on 23 October, with Japan and South Korea dated for November on the coverage page (30). Dated changes in the last 90 days are x402 on 23 October, UK fundamentals on 26 October, terms and subprocessor list on 29 October, privacy policy on 20 August, with no changelog as such (12 of 20). Contact is a form and the dashboard; no support email, Discord or forum was found, and the GitHub organisation's four repositories couldn't be read because the GitHub API rate limit was reached (6 of 15). The PyPI package is 0.1.18 of 26 May 2024 by the founder, and the docs point to the OpenAPI file and the MCP server rather than an SDK (5 of 15). Package health unknown, dependencies not checked (3 of 10). Total 56.\n\n### Transparency \u0026 trust: Financial Datasets +14\n\n- Databento (49): A closed service whose terms could not be read, because databento.com/legal and its /terms and /privacy pages are drawn by script; the client libraries are Apache-2.0 (10 of 30). The privacy policy was unread for the same reason, and the docs say nothing about retention of account data (0 of 30, unchecked). Dated release notes carry deprecations, and the versioning policy keeps a prior major version for a year after the next (18 of 20). No subprocessor list or data location statement was found on readable pages; the architecture docs name the company's own data centres (0 of 20). Total 28.\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### Security \u0026 auth: Databento +12\n\n- Databento (61): Named API keys, up to 100 per account, rotated or deleted in the portal, with per-member permissions, sent only as the Basic auth username; no scopes per key and no expiry (25 of 30). Every API call is a read, and a monthly historical limit caps what a leaked key can spend; live usage is not capped (14 of 20). The API returns market data and reference records, not free text from third parties (10). A data usage page in the portal and a billing page per cycle, with no per-key call log documented (8 of 15). The vendor revokes keys it finds in public and documents key hygiene; security.txt returns 404 and no bounty, SOC 2 or ISO 27001 was found on readable pages (4 of 20). Total 61.\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: Databento +7\n\n- Databento (50): Graded as a hosted service. Atlassian Statuspage at status.databento.com with ten components, Portal, Historical, FTP and seven live feeds (20). The incident feed for the 90 days to 3 November 2026 lists a critical outage of the portal and Historical API on 6 August lasting about eight hours, critical live authentication timeouts in NY4 on 28 August for about seven hours, major batch job delays of about two days each opened on 6 and 12 October, a six-hour GLBX.MDP3 delay in the Historical API on 6 October, and a Frankfurt outage affecting XEUR and XEEE opened on 2 November and still in monitoring. Several majors (0 of 30). Per-IP limits are published with numbers (15). 429 with a Retry-After header and a code to sleep on it; streams cut off aren't billed for unsent data, batch jobs are billed once (15). No SLA found; the pricing page names none and the terms were unreadable (0). The HTTP API is at major version 0 and the docs say it is not considered stable (0 of 10). Total 50.\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### Agent ergonomics: Databento +7\n\n- Databento (80): `limit`, time ranges to the nanosecond, schema choice from trades to daily bars, encoding choice and `metadata.get_cost` to size a request before paying (20 of 25). Symbol, date and schema filters, batch jobs listed and fetched by id, no cursor pagination because ranges are split by time (16 of 20). Errors carry an HTTP code, a named identifier, a message and a docs link, with 206 for partially resolved symbols (17 of 20). Reads only on the historical and reference APIs; a duplicate streaming request is charged twice, batch is billed once, and the portal can cap monthly spend (12 of 20). Few required parameters, and official clients in Python, C++ and Rust (15). Total 80.\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## Score by category\n\n| Category | Weight | Databento | Financial Datasets | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 43 | Databento +7 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 75 | 80 | Financial Datasets +5 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 73 | Databento +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 61 | 49 | Databento +12 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 22 | 75 | Financial Datasets +53 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 84 | 56 | Databento +28 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 49 | 63 | Financial Datasets +14 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **60.3 · C** | **61.8 · C** | |\n\n## Facts side by side\n\n| Fact | Databento | Financial Datasets |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Databento, Inc. | Financial Datasets, Inc. |\n| Hosted endpoint | `https://hist.databento.com` | `https://api.financialdatasets.ai` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | yes, from $0.02/call |\n| Licence | Apache-2.0 (clients) | none |\n| Tools exposed | none | 28 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-28 | 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 | 309 stars | none |\n\n## Verdicts\n\n**Databento.** Exchange-level tick and order book data metered per GB, with published per-IP rate limits, Retry-After on 429, dated release notes and clients in three languages. The HTTP API is still at major version 0, the status page lists two critical and several major incidents in 90 days, there is no OpenAPI document, and the legal pages were unreadable.\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### Databento\n\n1. Call `metadata.get_cost` before `timeseries.get_range`, and set a monthly historical limit in the portal; a duplicate streaming request is charged twice\n2. Send the key as the Basic auth username (`-u $DATABENTO_API_KEY:`) to hist.databento.com/v0; never put it in the URL or source code\n3. On 429 wait for the Retry-After header; keep under 100 time series requests a second and 20 batch submissions a minute per IP\n4. Check status.databento.com before retrying a slow or 504 Historical request, since several incidents since August were API outages or batch delays\n5. Use batch download for requests over 5 GB, split by time range or `limit`, and read `schema` and `stype_in` from the dataset page before querying\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, Databento or Financial Datasets?\n\nFinancial Datasets scores 61.8 (C) on agent readiness against Databento's 60.3 (C), and leads in 3 of 7 scored categories. Databento leads on reliability, agent ergonomics, security \u0026 auth and maintenance \u0026 community.\n\n### Do Databento and Financial Datasets need an API key?\n\nDatabento needs an API key. Financial Datasets takes 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 Databento and Financial Datasets without installing anything?\n\nYes. Databento has a hosted endpoint at https://hist.databento.com and Financial Datasets at https://api.financialdatasets.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/databento-vs-financial-datasets.json, and with the fewest tokens: https://www.anchorterminal.com/compare/databento-vs-financial-datasets.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"databento\", \"b\": \"financial-datasets\"}`. From a terminal: `anchor compare databento financial-datasets`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/databento.json and https://www.anchorterminal.com/api/v1/tools/financial-datasets.json\n\n## Other comparisons with Databento or Financial Datasets\n\n- [Alpha Vantage vs Databento](https://www.anchorterminal.com/compare/alpha-vantage-vs-databento.md)\n- [Alpha Vantage vs Financial Datasets](https://www.anchorterminal.com/compare/alpha-vantage-vs-financial-datasets.md)\n- [Benzinga vs Databento](https://www.anchorterminal.com/compare/benzinga-vs-databento.md)\n- [Databento vs EODHD](https://www.anchorterminal.com/compare/databento-vs-eodhd.md)\n- [Databento vs Financial Modeling Prep](https://www.anchorterminal.com/compare/databento-vs-financial-modeling-prep.md)\n- [Databento vs Finnhub](https://www.anchorterminal.com/compare/databento-vs-finnhub.md)\n- [Databento vs Intrinio](https://www.anchorterminal.com/compare/databento-vs-intrinio.md)\n- [Databento vs Massive (formerly Polygon.io)](https://www.anchorterminal.com/compare/databento-vs-massive.md)\n- [Databento vs Tiingo](https://www.anchorterminal.com/compare/databento-vs-tiingo.md)\n- [Databento vs Twelve Data](https://www.anchorterminal.com/compare/databento-vs-twelve-data.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": "Databento vs Financial Datasets", "url": "" } ], "description": "Financial Datasets scores 61.8 (C) to Databento's 60.3 (C) for market prices. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Databento C 60.3", "Financial Datasets C 61.8", "scores" ], "h1": "Databento vs Financial Datasets", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/databento-vs-financial-datasets", "published": "2026-10-01", "section": "tools", "title": "Databento vs Financial Datasets for AI agents (2026) | Anchor Terminal", "toc": null, "updated": "2026-11-03", "url": "https://www.anchorterminal.com/compare/databento-vs-financial-datasets" }, "tokens": { "markdown": 4750, "slim": 2980 }, "version": 1 }