{"tool1":{"_id":"69b2da6867df398baec12ddd","name":"PlanetScale","slug":"planetscale","url":"https://planetscale.com","description":"","logo":"","category":"Developer Tools","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":7,"confidence":"scanner","evidence":"PlanetScale's Fetch API-compatible driver and support for query builders like Kysely enable efficient queries with field selection and batching, though no explicit API-level pagination or response compression signals are evident.","na":false},"access":{"score":6,"confidence":"scanner","evidence":"Multiple SDK options exist (Node.js driver, Prisma adapter, Kysely dialect) and a REST API is available, but the absence of an OpenAPI spec, MCP server, CLI, or GraphQL endpoint limits discoverability and integration breadth.","na":false},"auth":{"score":7,"confidence":"scanner","evidence":"PlanetScale supports API key authentication for programmatic access without OAuth friction, and database-level connection strings enable autonomous agent authentication, though no evidence of scoped or granular permissions is visible.","na":false},"speed":{"score":6,"confidence":"scanner","evidence":"PlanetScale is a serverless database with inherently fast response times, but no rate limiting details, ETag support, or concurrent request handling documentation is evident in the signals collected.","na":false},"discoverability":{"score":4,"confidence":"scanner","evidence":"While developer documentation exists and structured data is present, the lack of an OpenAPI specification, llms.txt file, or agents.json makes API surface discovery difficult for AI agents compared to best-in-class tools.","na":false},"reliability":{"score":6,"confidence":"scanner","evidence":"PlanetScale's established infrastructure suggests reliability, and SDK usage patterns imply versioning support, but no explicit signals about idempotency keys, API versioning strategy, or status page transparency are present.","na":false},"safety":{"score":5,"confidence":"scanner","evidence":"PlanetScale supports connection-level isolation and Prisma/Kysely adapters enable transaction support, but no explicit sandbox mode, dry-run capability, or operation undo mechanism is documented in available signals.","na":false},"reactivity":{"score":3,"confidence":"scanner","evidence":"No evidence of webhooks, streaming, SSE, or intelligent polling mechanisms is present; agents would rely on simple polling to detect changes, resulting in inefficient reactive patterns.","na":false}},"agentGrade":"C+","agentScore":5.92,"accessMethods":{"restApi":true,"graphql":false,"cli":false,"sdk":["Node (@planetscale/database)"],"mcpServer":"none","openApiSpec":"","llmsTxt":false,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":210,"badgeEmbedCount":28,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.627Z","updatedAt":"2026-10-22T18:09:01.678Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:21:40.494Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":84019,"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":"@planetscale/database","description":"A Fetch API-compatible PlanetScale database driver","version":"1.19.0"},{"name":"kysely-planetscale","description":"Kysely dialect for PlanetScale Serverless","version":"1.7.1"},{"name":"@prisma/adapter-planetscale","description":"Prisma's driver adapter for \"@planetscale/database\"","version":"7.5.0"},{"name":"planetscale","description":"A simple client for connecting to PlanetScale.","version":"2.1.0"},{"name":"@sst-provider/planetscale","description":"A Pulumi provider dynamically bridged from planetscale.","version":"0.4.1"}],"pypi":[],"cli":false,"sdks":["Node (@planetscale/database)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"Lack of OpenAPI specification, MCP server, and explicit agent-discovery signals (llms.txt, agents.json) makes it difficult for AI agents to automatically discover and integrate with PlanetScale's API surface.","agentSummary":"PlanetScale offers solid programmatic access through multiple SDKs and API keys, making it suitable for agents that manage database operations autonomously. However, missing OpenAPI documentation, reactive features, and agent-specific discovery mechanisms limit its readiness for sophisticated AI agent integration compared to leading API-first platforms."}},"tool2":{"_id":"69b2da6867df398baec12de0","name":"Neon","slug":"neon","url":"https://neon.tech","description":"","logo":"","category":"Developer Tools","tags":[],"pricingModel":"unknown","scores":{"tokenEfficiency":{"score":6,"confidence":"scanner","evidence":"Neon provides an API client wrapper and database dialect support, but without visible OpenAPI spec details or documented pagination/field selection patterns, token efficiency optimizations are unclear.","na":false},"access":{"score":7,"confidence":"scanner","evidence":"Multiple access methods exist including Node.js SDK, Python package, CLI tool, and an API client wrapper, but the absence of an MCP server and unconfirmed GraphQL support limits agent integration options.","na":false},"auth":{"score":7,"confidence":"scanner","evidence":"The API client wrapper suggests programmatic authentication capability with API keys suitable for agent use, though specific scoping levels and token restrictions are not detailed in available signals.","na":false},"speed":{"score":5,"confidence":"scanner","evidence":"Response time data is missing, and no explicit mention of rate limits, ETags, or concurrent request handling; database dialect support suggests reasonable latency but lacks concrete performance signals.","na":false},"discoverability":{"score":6,"confidence":"scanner","evidence":"An llms.txt file exists indicating some agent-awareness, and developer docs are present, but the lack of an OpenAPI spec and missing agents.json file significantly hampers discoverability for AI agents.","na":false},"reliability":{"score":5,"confidence":"scanner","evidence":"No signals provided regarding idempotency keys, API versioning strategy, response schema consistency, or a status page; these are critical for autonomous agent operations.","na":false},"safety":{"score":4,"confidence":"scanner","evidence":"While an API client exists, there are no visible signals for sandbox/test environments, dry-run capabilities, undo operations, or token scoping; this limits safe agent experimentation.","na":false},"reactivity":{"score":3,"confidence":"scanner","evidence":"No evidence of webhooks, streaming APIs, SSE support, or polling efficiency mechanisms in the collected signals.","na":false}},"agentGrade":"C+","agentScore":5.84,"accessMethods":{"restApi":true,"graphql":false,"cli":true,"sdk":["Node (neon-init)","Python (neon)"],"mcpServer":"none","openApiSpec":"","llmsTxt":true,"agentsJson":false},"authInfo":{"methods":["unknown"],"scopedPermissions":false,"humanRequired":true},"reviewCount":0,"avgReviewScore":0,"viewCount":216,"badgeEmbedCount":24,"agentSkillSlugs":[],"alternatives":[],"claimed":false,"status":"graded","createdAt":"2026-03-12T15:23:20.627Z","updatedAt":"2026-10-23T22:30:04.570Z","__v":0,"scannerData":{"lastScannedAt":"2026-03-12T19:21:54.752Z","scanVersion":1,"rawSignals":{"homepage":{"status":200,"contentLength":941027,"hasStructuredData":true,"hasDeveloperDocs":true,"hasAgentMentions":true,"responseTimeMs":null},"openapi":{"found":false},"wellKnown":{"llmsTxt":{"found":true,"path":"/llms.txt","length":25994},"agentsJson":{"found":false},"robotsTxt":{"found":true,"blocksAgents":true,"hasSitemap":true}},"packages":{"npm":[{"name":"neon-init","description":"Initialize Neon projects","version":"0.13.1"},{"name":"@neon-rs/load","description":"Utilities for loading Neon modules.","version":"0.2.6"},{"name":"kysely-neon","description":"Kysely dialect for Neon","version":"2.0.2"},{"name":"@neondatabase/api-client","description":"Wrapper for Neon API","version":"2.7.1"},{"name":"neon-cli","description":"Build and load native Rust/Neon modules.","version":"0.10.1"}],"pypi":[{"name":"neon","version":"0.1.2","description":"colorful cui utility"}],"cli":true,"sdks":["Node (neon-init)","Python (neon)"]},"mcp":{"found":false,"type":"none","servers":[]}},"biggestFriction":"The absence of an OpenAPI specification and MCP server means agents lack machine-readable endpoint definitions and standardized protocol support, forcing manual integration and limiting discoverability.","agentSummary":"Neon offers foundational programmatic access through SDKs and an API client, but lacks the machine-readable specifications and agent-specific standards (OpenAPI, MCP) that modern AI agents expect. Meaningful autonomous usage would require substantial manual integration work and external documentation."}}}