{"uid":"cap_K9DojVTRc9ooGpnfRNlm1","slug":"agentdiet-dev-sentiment-analysis-c6bfff87","name":"AgentDiet Dev Sentiment Analysis","description":"Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.","url":"https://rag-diet.agentdiet.dev/v1/dev-sentiment?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","POST"],"type":"string"},"queryParams":{"type":"object","properties":{"query":{"type":"string"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"data":{},"status":"ok","roi_proof":{"compression_ratio_pct":91.4}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_qclz2g55pzL9fhxoGNoUi","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes developer-focused sentiment for a given query, returning structured sentiment data with context compression metrics","exampleAgentPrompt":"What's the current developer sentiment around WebAssembly? Run it through AgentDiet's dev-sentiment endpoint so I get a compressed, token-efficient result.","exampleUseCases":[{"title":"Gauge developer reception of a new framework","prompt":"Can you check developer sentiment around htmx right now? I want a quick, compressed sentiment read I can feed into my agent pipeline without blowing the context window."},{"title":"Monitor opinion shifts on a cloud provider","prompt":"What's the developer sentiment on AWS Lambda these days? Give me a distilled sentiment score I can track over time without wasting tokens."},{"title":"Pre-launch tech stack evaluation","prompt":"Before we commit to using Rust for our backend rewrite, can you pull the current developer sentiment on Rust so I can see if the community vibes are positive or negative?"}],"resultDescription":"Returns a JSON object with a 'data' field containing sentiment results, a 'status' field ('ok'), and an 'roi_proof' object showing compression_ratio_pct (e.g. 91.4%), indicating how much token reduction was achieved alongside the sentiment output.","failureModes":["Missing required 'query' parameter returns an error or empty data object","Invalid HTTP method (not GET or POST) results in rejection","Unpaid or underpaid x402 request returns HTTP 402 Payment Required","Malformed input object missing 'type' or 'method' fields causes schema validation failure","Network timeout or service unavailability returns non-200 status"],"whenToPreferThis":"Choose this endpoint when you need developer-specific sentiment analysis with extremely token-efficient output suitable for A2A agent pipelines or constrained context windows. It is especially useful when you want both sentiment signal and a provable compression ratio, and when you are operating in a micropayment (x402/USDC) environment on Base. Prefer it over generic sentiment APIs when your agent needs to minimize token overhead while still extracting meaningful opinion signals about developer tools, frameworks, or technologies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:44:21.936Z","isFirstParty":false,"canonicalSlug":"agentdiet-dev-sentiment-analysis-c6bfff87"}