{"category":{"slug":"analytics","name":"Analytics","icon":"pixelarticons:chart-bar","description":"Data analytics, tracking, dashboards"},"tools":[{"_id":"69b2da6867df398baec12e70","name":"Google Analytics","slug":"google-analytics","url":"https://analytics.google.com","description":"","logo":"","category":"Analytics","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":6,"confidence":"scanner","evidence":"Google Analytics API supports field selection and filtering, but responses can be verbose with nested objects; pagination is supported but not optimized for batching multiple queries into single requests.","na":false},"access":{"score":7,"confidence":"scanner","evidence":"Google Analytics has a mature REST API (Google Analytics Data API v1) with official SDKs in multiple languages (Python, JavaScript, Java), but no MCP server, CLI tool, or GraphQL endpoint limits accessibility for some agent patterns.","na":false},"auth":{"score":8,"confidence":"scanner","evidence":"Google Analytics supports OAuth 2.0 with scoped service account credentials and API keys, enabling autonomous agent authentication without human interaction; OAuth scopes are granular and well-documented.","na":false},"speed":{"score":6,"confidence":"scanner","evidence":"Google Analytics API has reasonable rate limits (100k queries per day for most accounts), but responses can be slower due to real-time data processing and lack of explicit conditional request support (ETags); concurrent requests are supported but with quota constraints.","na":false},"discoverability":{"score":7,"confidence":"scanner","evidence":"Google Analytics has comprehensive official documentation and predictable REST API URL patterns, but lacks OpenAPI/Swagger specification and no agent-specific guidance (no llms.txt or agents.json); error messages are informative but could be more actionable.","na":false},"reliability":{"score":7,"confidence":"scanner","evidence":"Google Analytics API is versioned (v1) and has consistent response schemas, but lacks documented idempotency keys for mutations; Google's infrastructure provides high uptime, though data processing delays can affect query reliability.","na":false},"safety":{"score":6,"confidence":"scanner","evidence":"Google Analytics provides scoped OAuth tokens and supports read-only access patterns, but lacks explicit sandbox/test environments separate from production; no dry-run capability for data operations, though the API is primarily read-heavy for analytics.","na":false},"reactivity":{"score":4,"confidence":"scanner","evidence":"Google Analytics Data API is pull-based query-oriented with no native webhooks, streaming, or SSE support; agents must implement polling inefficiently to monitor changes or new data.","na":false}},"agentGrade":"B","agentScore":6.64,"accessMethods":{"restApi":false,"graphql":false,"cli":true,"sdk":["Python (googleanalytics)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":27,"badgeEmbedCount":4,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.683Z","updatedAt":"2026-04-05T16:57:26.451Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:30:50.508Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":5654,"hasStructuredData":false,"hasDeveloperDocs":false,"hasAgentMentions":false,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":false}},"packages":{"npm":[{"name":"nextjs-google-analytics","description":"Google Analytics for Next.js","version":"2.3.7"},{"name":"@analytics/google-analytics","description":"Google analytics v4 plugin for 'analytics' module","version":"1.1.0"},{"name":"react-ga","description":"React Google Analytics Module","version":"3.3.1"},{"name":"react-ga4","description":"React Google Analytics 4","version":"2.1.0"},{"name":"@vuepress/plugin-google-analytics","description":"google-analytics plugin for vuepress","version":"1.9.10"},{"name":"workbox-google-analytics","description":"Queues failed requests and uses the Background Sync API to replay them when the network is available","version":"7.4.0"},{"name":"@docusaurus/plugin-google-analytics","description":"Global analytics (analytics.js) plugin for Docusaurus.","version":"3.9.2"},{"name":"@google/gemini-cli-core","description":"Gemini CLI Core","version":"0.33.0"},{"name":"universal-analytics","description":"A node module for Google's Universal Analytics tracking","version":"0.5.3"},{"name":"web-vitals","description":"Easily measure performance metrics in JavaScript","version":"5.1.0"}],"pypi":[{"name":"googleanalytics","version":"0.26.0","description":"A wrapper for the Google Analytics API."}],"cli":true,"sdks":["Python (googleanalytics)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Lack of an MCP server and CLI tool means agents cannot directly query Analytics without making HTTP API calls, and the pull-only (non-reactive) architecture requires agents to implement their own polling logic for monitoring metrics.","agentSummary":"Google Analytics is reasonably accessible to agents through a mature REST API with strong authentication and SDKs, but agent integration is hindered by the absence of specialized tools (MCP server, CLI) and reactive features (webhooks, streaming). For basic analytics querying and reporting, it works well; for real-time monitoring or continuous integration with agent workflows, friction is noticeable."}},{"_id":"69b2da6867df398baec12e76","name":"Fathom","slug":"fathom","url":"https://usefathom.com","description":"","logo":"","category":"Analytics","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":7,"confidence":"scanner","evidence":"OpenAPI spec includes field selection and pagination support, reducing unnecessary data transfer, though no batch endpoints limits efficiency for bulk operations.","na":false},"access":{"score":6,"confidence":"scanner","evidence":"REST API with OpenAPI spec and multiple SDK packages (Node, Python) provide solid programmatic access, but absence of an MCP server and only 11 endpoints limits comprehensive integration capabilities.","na":false},"auth":{"score":8,"confidence":"scanner","evidence":"Simple API key authentication enables autonomous agent authentication without OAuth friction or human-in-the-loop, and the llms.txt presence suggests agent-aware design.","na":false},"speed":{"score":5,"confidence":"scanner","evidence":"Response time data is missing, pagination is supported but no batch endpoints or conditional request support (ETags) visible, making concurrent or large-scale operations potentially inefficient.","na":false},"discoverability":{"score":8,"confidence":"scanner","evidence":"OpenAPI spec at standard location with 11 documented endpoints, structured data on homepage, comprehensive llms.txt file, and developer docs provide excellent discoverability for agents.","na":false},"reliability":{"score":6,"confidence":"scanner","evidence":"OpenAPI spec suggests versioning awareness and consistent schemas, but no explicit evidence of idempotency keys, status page monitoring, or API versioning strategy visible in collected signals.","na":false},"safety":{"score":4,"confidence":"scanner","evidence":"API key authentication provides basic scoping, but no evidence of test/sandbox mode, dry-run capabilities, or explicit undo mechanisms for destructive operations.","na":false},"reactivity":{"score":3,"confidence":"scanner","evidence":"No webhooks, streaming, SSE, or real-time capabilities mentioned; agents would rely on polling with pagination, which is inefficient for real-time use cases.","na":false}},"agentGrade":"B","agentScore":6.36,"accessMethods":{"restApi":true,"graphql":false,"cli":true,"sdk":["Node (nuxt-fathom)","Python (fathom)"],"mcpServer":"none","openApiSpec":"https://usefathom.com/api/openapi.json","llmsTxt":true,"agentsJson":false},"authInfo":{"methods":["api_key"],"scopedPermissions":false,"humanRequired":false},"reviewCount":0,"avgReviewScore":0,"viewCount":21,"badgeEmbedCount":2,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.684Z","updatedAt":"2026-04-05T19:23:26.568Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:31:14.225Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":59529,"hasStructuredData":true,"hasDeveloperDocs":true,"hasAgentMentions":false,"responseTimeMs":null},"openapi":{"found":true,"specUrl":"https://usefathom.com/api/openapi.json","endpointCount":11,"hasFieldSelection":true,"hasPagination":true,"hasBatchEndpoints":false,"authMethods":["api_key"]},"wellKnown":{"llmsTxt":{"found":true,"path":"/llms.txt","length":15809},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"fathom-client","description":"A simple wrapper around the Fathom Analytics library","version":"3.7.2"},{"name":"nuxt-fathom","description":"Fathom analytics Nuxt module","version":"0.0.3"},{"name":"astro-fathom","description":"Fathom Analytics tracking for your Astro site.","version":"2.0.0"},{"name":"docusaurus-plugin-fathom","description":"Fathom analytics plugin for Docusaurus","version":"1.2.0"},{"name":"fathom-mcp","description":"MCP server for Fathom — vault operations, search, rooms, and cross-workspace communication","version":"0.6.0"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"mcp-framework","description":"Framework for building Model Context Protocol (MCP) servers in Typescript","version":"0.2.18"}],"pypi":[{"name":"fathom","version":"0.4.1","description":"database inspection library"}],"cli":true,"sdks":["Node (nuxt-fathom)","Python (fathom)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Lack of an MCP server and no batch endpoints significantly limit an agent's ability to perform efficient bulk operations or deeply integrated workflows with other tools.","agentSummary":"Fathom is well-positioned for basic agent integration with a clean REST API, simple API key auth, and excellent discoverability through OpenAPI specs and llms.txt. However, the absence of an MCP server, batch operations, and real-time reactivity limits it to read-heavy, polling-based agent workflows rather than sophisticated autonomous interactions."}},{"_id":"69b2da6867df398baec12e6d","name":"Segment","slug":"segment","url":"https://segment.com","description":"","logo":"","category":"Analytics","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":6,"confidence":"scanner","evidence":"Segment's analytics API likely supports filtering and batching for event ingestion, but without an OpenAPI spec or detailed documentation review, there's no clear evidence of field selection or pagination optimization for reducing token overhead.","na":false},"access":{"score":7,"confidence":"scanner","evidence":"Multiple official SDKs (Node, Python, JavaScript) and developer documentation provide solid programmatic access, but the absence of an OpenAPI spec, GraphQL API, CLI tool, or MCP server limits discoverability and integration breadth for agents.","na":false},"auth":{"score":8,"confidence":"scanner","evidence":"Segment supports API key-based authentication for autonomous agent use without human intervention, and the agents.json file suggests API-key access is documented; however, scoped permission details and token expiration policies are not evident from available signals.","na":false},"speed":{"score":6,"confidence":"scanner","evidence":"No response time data is available, rate limits are not documented in the signals, and there's no evidence of ETags or conditional request support, making it difficult to assess latency and concurrent request efficiency.","na":false},"discoverability":{"score":5,"confidence":"scanner","evidence":"Developer documentation exists and agents.json is available (495KB suggests useful content), but the absence of an OpenAPI spec, llms.txt, and structured schema data makes API endpoint discovery and capabilities harder for agents to parse automatically.","na":false},"reliability":{"score":6,"confidence":"scanner","evidence":"No API versioning strategy, idempotency key support, or status page information is evident from the signals, limiting confidence in consistent behavior and error recovery for agent workflows.","na":false},"safety":{"score":5,"confidence":"scanner","evidence":"Segment likely offers test/sandbox modes (typical for analytics platforms), but no evidence of dry-run capabilities, undo operations, or granular scoped access tokens is present in the signals, creating risk for unintended data mutations.","na":false},"reactivity":{"score":6,"confidence":"scanner","evidence":"Segment's core function is event ingestion, suggesting real-time event handling, but there's no evidence of webhooks, streaming APIs, or server-sent events for reactive agent workflows in the collected signals.","na":false}},"agentGrade":"B","agentScore":6.3,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (@segment/analytics-node)","Python (segment)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":true},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":28,"badgeEmbedCount":9,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.682Z","updatedAt":"2026-03-27T18:30:23.221Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:30:40.463Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":496756,"hasStructuredData":false,"hasDeveloperDocs":true,"hasAgentMentions":true,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":true,"length":495885},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"@segment/analytics-node","description":"https://www.npmjs.com/package/@segment/analytics-node","version":"3.0.0"},{"name":"@types/segment-analytics","description":"TypeScript definitions for segment-analytics","version":"0.0.38"},{"name":"@segment/analytics.js-video-plugins","description":"Add automatic Segment event tracking to popular video players.","version":"0.2.1"},{"name":"segment-dict","description":"novel-segment segment data","version":"2.3.210"},{"name":"@analytics/segment","description":"Segment integration for 'analytics' module for browser & node","version":"2.1.0"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"@segment/analytics-next","description":"Analytics Next (aka Analytics 2.0) is the latest version of Segment’s JavaScript SDK - enabling you to send your data to any tool without having to learn, test, or use a new API every time.","version":"1.82.0"},{"name":"@segment/analytics-core","description":"This package represents core 'shared' functionality that is shared by analytics packages. This is not designed to be used directly, but internal to analytics-node and analytics-browser.","version":"1.8.2"},{"name":"mcp-framework","description":"Framework for building Model Context Protocol (MCP) servers in Typescript","version":"0.2.18"}],"pypi":[{"name":"segment","version":"0.2.0","description":"The hassle-free way to integrate analytics into any python application."}],"cli":false,"sdks":["Node (@segment/analytics-node)","Python (segment)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"The absence of an OpenAPI specification severely hampers agent discoverability and integration, requiring manual API exploration and reducing the ability for agents to automatically understand available endpoints and operations.","agentSummary":"Segment provides solid programmatic access through multiple SDKs and API-key auth, making it reasonably agent-ready for event ingestion workflows. However, missing OpenAPI docs, MCP support, and limited safety/reliability signals reduce its appeal for complex autonomous agent integrations."}},{"_id":"69b2da6867df398baec12e64","name":"PostHog","slug":"posthog","url":"https://posthog.com","description":"","logo":"","category":"Analytics","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":6,"confidence":"scanner","evidence":"PostHog provides SDKs with event batching capabilities and supports pagination for API responses, but lacks documented field selection or explicit response size optimization mechanisms.","na":false},"access":{"score":7,"confidence":"scanner","evidence":"PostHog offers REST API with comprehensive SDKs across Node.js, Python, React, and CLI tooling, providing multiple programmatic access methods, though the absence of an MCP server limits integration with modern agent frameworks.","na":false},"auth":{"score":8,"confidence":"scanner","evidence":"PostHog supports API key authentication which enables autonomous agent authentication without human-in-the-loop, though scope granularity and permission controls are not explicitly documented in the signals.","na":false},"speed":{"score":6,"confidence":"scanner","evidence":"PostHog's response time was not measurable in the collected data, and rate limits are not documented; event batching in SDKs suggests some performance optimization but concrete latency and concurrency capabilities remain unclear.","na":false},"discoverability":{"score":5,"confidence":"scanner","evidence":"PostHog lacks an OpenAPI specification and well-known agent configuration files (llms.txt, agents.json), though it maintains developer documentation and has structured SDK documentation available.","na":false},"reliability":{"score":6,"confidence":"scanner","evidence":"PostHog SDKs suggest versioning support (versions like 5.28.1, 7.9.12) and likely maintain consistent schemas for event data, but explicit documentation on idempotency keys, API versioning strategy, and SLA guarantees is not evident in the signals.","na":false},"safety":{"score":5,"confidence":"scanner","evidence":"PostHog appears to have test environments implied by its nature as an analytics platform, but lacks explicit documentation of sandbox mode, dry-run capabilities, or granular token scoping shown in the collected signals.","na":false},"reactivity":{"score":4,"confidence":"scanner","evidence":"PostHog is primarily event-capture focused with no evidence of webhooks, streaming APIs, or SSE support documented in the signals; 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However, the lack of OpenAPI specs, MCP support, and explicit agent-readiness documentation limits its discoverability and integration friction for AI agents seeking autonomous, self-configuring access."}},{"_id":"69b2da6867df398baec12e7c","name":"Pirsch","slug":"pirsch","url":"https://pirsch.io","description":"","logo":"","category":"Analytics","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":6,"confidence":"scanner","evidence":"Pirsch offers an API with standard REST patterns, but no explicit field selection or response filtering mechanisms are documented, and pagination support is not confirmed in the signals.","na":false},"access":{"score":7,"confidence":"scanner","evidence":"Pirsch provides a REST API with official Node.js SDK (pirsch-sdk), multiple community integrations (Astro, Docusaurus), and an MCP server implementation exists (@joelwmale/pirsch-mcp), though not officially maintained by Pirsch.","na":false},"auth":{"score":7,"confidence":"scanner","evidence":"Pirsch likely supports API key authentication based on SDK availability and typical SaaS analytics patterns, enabling autonomous agent authentication without OAuth friction, though explicit auth documentation was not included in the signals.","na":false},"speed":{"score":6,"confidence":"scanner","evidence":"No response time data captured, rate limits unknown, and no evidence of ETags or caching mechanisms in the collected signals, making speed optimization potential unclear.","na":false},"discoverability":{"score":5,"confidence":"scanner","evidence":"No OpenAPI spec found, no llms.txt or agents.json files, and no explicit API documentation reference confirmed, though developer docs exist on the homepage; 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The tool is moderately agent-ready for read-heavy analytics queries but requires manual integration work and documentation review."}},{"_id":"69b2da6867df398baec12e61","name":"Plausible","slug":"plausible","url":"https://plausible.io","description":"","logo":"","category":"Analytics","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":6,"confidence":"scanner","evidence":"Plausible offers a REST API with filtering and pagination capabilities, but lacks field selection and response compaction options, resulting in potentially verbose analytics data payloads.","na":false},"access":{"score":5,"confidence":"scanner","evidence":"Plausible provides a REST API and official Node SDK, but lacks GraphQL, MCP server, CLI tooling, and comprehensive multi-language SDK coverage compared to category leaders.","na":false},"auth":{"score":7,"confidence":"scanner","evidence":"Plausible supports API token authentication for autonomous agent access with no OAuth friction, though token scoping and permission granularity details are not evident from available signals.","na":false},"speed":{"score":6,"confidence":"scanner","evidence":"No specific rate limit, ETag, or concurrent request information available; response time data was not collected, limiting confidence in latency characteristics.","na":false},"discoverability":{"score":5,"confidence":"scanner","evidence":"Developer documentation exists and structured data is present on homepage, but OpenAPI spec is absent, and no /llms.txt or well-known agent integration points were found.","na":false},"reliability":{"score":6,"confidence":"scanner","evidence":"Plausible shows signs of API stability with an official SDK and published packages, but lacks explicit OpenAPI versioning, idempotency key documentation, and consistent error schema confirmation.","na":false},"safety":{"score":4,"confidence":"scanner","evidence":"No evidence of sandbox/test environment, dry-run modes, or transaction undo capabilities; read-only analytics queries provide some inherent safety but lack explicit safety features.","na":false},"reactivity":{"score":3,"confidence":"scanner","evidence":"No webhooks, SSE, or streaming capabilities detected; Plausible is fundamentally a query-based analytics tool rather than an event-driven system.","na":false}},"agentGrade":"C+","agentScore":5.58,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (@plausible-analytics/tracker)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":21,"badgeEmbedCount":3,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.679Z","updatedAt":"2026-04-05T05:40:21.475Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:29:53.356Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":67259,"hasStructuredData":true,"hasDeveloperDocs":true,"hasAgentMentions":false,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":false,"hasSitemap":true}},"packages":{"npm":[{"name":"@plausible-analytics/tracker","description":"Plausible Analytics official frontend tracking library","version":"0.4.4"},{"name":"@nuxtjs/plausible","description":"Natively integrates Plausible Analytics into Nuxt","version":"3.0.2"},{"name":"vue-plausible","description":"Plausible analytics as Vue.js and NuxtJS plugins","version":"1.3.2"},{"name":"@barbapapazes/plausible-tracker","description":"Fork of frontend tracker to interact with Plausible Analytics","version":"0.5.6"},{"name":"plausible-telemetry","description":"Use Plausible Analytics for your Application Telemetry","version":"0.1.0"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"},{"name":"next-plausible","description":"Simple integration for https://nextjs.org and https://plausible.io analytics.","version":"3.12.5"},{"name":"@playwright/mcp","description":"Playwright Tools for MCP","version":"0.0.68"},{"name":"notebooklm-mcp","description":"MCP server for NotebookLM API with session support and human-like behavior","version":"1.2.1"}],"pypi":[],"cli":false,"sdks":["Node (@plausible-analytics/tracker)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Absence of an OpenAPI specification and MCP server severely limits agent discoverability and integration, forcing agents to rely on incomplete documentation and manual API exploration.","agentSummary":"Plausible offers basic agent-accessible REST API with token auth and a Node SDK, suitable for read-only analytics queries but lacking modern AI integration patterns like MCP servers or OpenAPI specs. The tool is moderately functional for agents but requires significant manual integration effort and offers limited programmatic flexibility compared to industry-leading analytics platforms."}},{"_id":"69b2da6867df398baec12e67","name":"Mixpanel","slug":"mixpanel","url":"https://mixpanel.com","description":"","logo":"","category":"Analytics","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":5,"confidence":"scanner","evidence":"Mixpanel's API likely supports field selection and pagination, but no OpenAPI spec or documented response examples make it difficult to assess payload optimization; typical analytics APIs return large nested objects without granular filtering.","na":false},"access":{"score":6,"confidence":"scanner","evidence":"Multiple SDKs available (JavaScript, Python, React Native) and developer docs indicate a REST API, but absence of OpenAPI spec, no MCP server, and no CLI tool limit discoverability and programmatic accessibility compared to best-in-class tools.","na":false},"auth":{"score":7,"confidence":"scanner","evidence":"Analytics platforms typically support API tokens and project tokens that enable autonomous authentication without OAuth friction, allowing agent access with scoped credentials, though details on permission granularity are unavailable.","na":false},"speed":{"score":6,"confidence":"scanner","evidence":"No response time data collected and typical analytics APIs have variable latency depending on query complexity; rate limits are not documented, and no mention of ETags or conditional request support limits optimization.","na":false},"discoverability":{"score":4,"confidence":"scanner","evidence":"Developer docs exist but no OpenAPI spec, no llms.txt or agents.json, and robots.txt blocks agents, creating friction for agent discovery and automated integration; documentation is likely web-only without machine-readable formats.","na":false},"reliability":{"score":6,"confidence":"scanner","evidence":"No evidence of OpenAPI versioning, idempotency keys, or documented error schemas; as an established SaaS product Mixpanel likely maintains API stability, but these assurances are not explicitly signaled.","na":false},"safety":{"score":5,"confidence":"scanner","evidence":"Lack of evidence for test/sandbox environments, dry-run modes, or explicit scoped token support; analytics write operations (tracking events) are generally lower-risk, but read operations on sensitive data lack documented safeguards.","na":false},"reactivity":{"score":4,"confidence":"scanner","evidence":"No webhooks, streaming, or SSE support mentioned; Mixpanel is fundamentally a data collection and reporting tool rather than an event-streaming platform, making real-time agent integration patterns limited.","na":false}},"agentGrade":"C+","agentScore":5.56,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (mixpanel-browser)","Python (mixpanel)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":21,"badgeEmbedCount":4,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.680Z","updatedAt":"2026-04-04T06:43:02.915Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:30:13.328Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":1088509,"hasStructuredData":false,"hasDeveloperDocs":true,"hasAgentMentions":false,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"mixpanel-browser","description":"The official Mixpanel JavaScript browser client library","version":"2.75.0"},{"name":"mixpanel","description":"A simple server-side API for mixpanel","version":"0.20.0"},{"name":"@types/mixpanel","description":"TypeScript definitions for mixpanel","version":"2.14.9"},{"name":"mixpanel-react-native","description":"Official React Native Tracking Library for Mixpanel Analytics","version":"3.3.0"},{"name":"@analytics/mixpanel","description":"Mixpanel plugin for 'analytics' module","version":"0.4.0"},{"name":"@mixpanel/rrweb","description":"record and replay the web","version":"2.0.0-alpha.18.3"},{"name":"firebase-tools","description":"Command-Line Interface for Firebase","version":"15.9.1"}],"pypi":[{"name":"mixpanel","version":"5.1.0","description":"Official Mixpanel library for Python"}],"cli":false,"sdks":["Node (mixpanel-browser)","Python (mixpanel)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"The absence of an OpenAPI specification and machine-readable API documentation (no llms.txt, agents.json, or robots.txt allowance for agents) makes automated API discovery and integration significantly harder for AI agents compared to modern API-first services.","agentSummary":"Mixpanel offers basic programmatic access through multiple SDKs and a REST API with API-key authentication suitable for autonomous agent use, but lacks modern discoverability signals and detailed API documentation that would enable efficient agent integration. The tool is moderately agent-ready for straightforward event tracking and data retrieval tasks, but requires manual documentation review and lacks optimization for token-constrained agentic workflows."}},{"_id":"69b2da6867df398baec12e6a","name":"Amplitude","slug":"amplitude","url":"https://amplitude.com","description":"","logo":"","category":"Analytics","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":6,"confidence":"scanner","evidence":"Amplitude's analytics API likely returns detailed event and user data structures, but without OpenAPI spec or visible documentation on field selection and pagination mechanisms, token efficiency cannot be fully optimized by agents.","na":false},"access":{"score":6,"confidence":"scanner","evidence":"Amplitude provides multiple Node.js and Python SDKs with good coverage, but lacks an OpenAPI specification, MCP server, or publicly documented REST API endpoints, limiting direct programmatic access for agents.","na":false},"auth":{"score":7,"confidence":"scanner","evidence":"Amplitude supports API key authentication which enables autonomous agent access without human-in-the-loop, though scoped permissions and detailed auth documentation are not evident from the signals.","na":false},"speed":{"score":5,"confidence":"scanner","evidence":"Homepage response time data is unavailable, and rate limits, conditional request support (ETags), and concurrent request documentation are not visible in the collected signals.","na":false},"discoverability":{"score":4,"confidence":"scanner","evidence":"No OpenAPI spec, llms.txt, or agents.json found; robots.txt blocks agents; homepage has developer docs but without a machine-readable API specification, agents cannot easily discover endpoints and parameters.","na":false},"reliability":{"score":6,"confidence":"scanner","evidence":"Mature SDK versions (2.x+ for core packages) suggest versioning practices, but idempotency guarantees, API versioning strategy, and response schema consistency are not documented in available signals.","na":false},"safety":{"score":4,"confidence":"scanner","evidence":"No evidence of sandbox/test mode, dry-run capabilities, or granular token scoping in the collected signals, limiting an agent's ability to safely experiment with operations.","na":false},"reactivity":{"score":3,"confidence":"scanner","evidence":"No mention of webhooks, streaming APIs, SSE, or real-time event delivery mechanisms in the signals, suggesting limited reactivity for event-driven agent workflows.","na":false}},"agentGrade":"C+","agentScore":5.52,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (@amplitude/analytics-browser)","Python (Amplitude)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":23,"badgeEmbedCount":4,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.681Z","updatedAt":"2026-04-07T23:19:12.069Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:30:29.004Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":295909,"hasStructuredData":true,"hasDeveloperDocs":true,"hasAgentMentions":true,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":false},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"@amplitude/analytics-browser","description":"Official Amplitude SDK for Web","version":"2.36.3"},{"name":"amplitude-js","description":"Javascript library for Amplitude Analytics","version":"8.21.10"},{"name":"@amplitude/analytics-node","description":"Official Amplitude SDK for NodeJS","version":"1.5.43"},{"name":"@amplitude/node","description":"Offical Amplitude SDK for Node.js","version":"1.10.2"},{"name":"@amplitude/ampli","description":"Amplitude CLI","version":"1.36.2"},{"name":"@amplitude/analytics-core","description":"