{"id":"4233caeb-4a2f-4fa3-8234-1bdd2e755977","shortId":"LMSbL8","kind":"x402","title":"Entity-level sentiment analysis via Google NLP, paid per-call with USDC on Base.","tagline":"Entity-level sentiment analysis via Google NLP, paid per-call with USDC on Base.","description":"This x402-enabled endpoint performs entity-level sentiment analysis on text input using Google's Natural Language API as the underlying provider. You submit a JSON body containing the text to analyze, and the service returns sentiment scores associated with each entity mentioned in the text. The endpoint is hosted on SlinklyLayer's x402 proxy infrastructure.\n\nThe API accepts a POST request with a required `text` field and a required `requested_service` field. An optional `encoding` field lets you specify the text encoding, and an optional `google` object can carry additional configuration such as an API key. Payment is handled via the x402 protocol: each call costs up to 0.05 USDC (50,000 base units of USDC on Base network), settled on-chain to the provider's address before the request is processed.\n\nDocumentation beyond the x402 challenge and output schema is not available — the provider's site returns only a \"Hello, world!\" landing page, and no OpenAPI spec, docs, or pricing pages were found. The input/output schema is inferred entirely from the x402 challenge's `outputSchema` field. Response format details (e.g., entity names, sentiment magnitude, salience scores) are not documented but are likely consistent with Google Cloud Natural Language's `analyzeEntitySentiment` response structure.","tags":[],"capabilities":["entity-sentiment-analysis","google-nlp","text-analysis","x402-payment","usdc-on-base","per-call-pricing"],"categories":["nlp","sentiment"],"synonyms":["entity sentiment","sentiment analysis","Google NLP","text sentiment","opinion mining","entity opinion analysis","named entity sentiment","natural language processing"],"warnings":["No documentation available — provider site returns only 'Hello, world!' with no docs, pricing, or API reference pages.","Response schema is undocumented; the example_response_json is null because no output format information was provided.","The 'requested_service' field is marked required but its valid values are not documented; 'entity-sentiment' is an educated guess.","Provider reliability and uptime are unknown — no SLA or status page found."],"endpointUrl":"https://x402.slinkylayer.ai/api/v1/proxy/52cfaeea-3451-42f7-9f80-24911ae96430/entity-sentiment","protocol":"x402","transport":"http","auth":{"type":"x402","details":[{"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","extra":{"name":"USD Coin","version":"2"},"payTo":"0x4f4BEb658084D7Bd7EA0b6F74DbF6e99f93d422d","scheme":"exact","network":"base","mimeType":"application/json","resource":"https://x402.slinkylayer.ai/api/v1/proxy/52cfaeea-3451-42f7-9f80-24911ae96430/entity-sentiment","description":"Accepts JSON input and analyzes the sentiment expressed about entities within the provided text using Google as the provider.","outputSchema":{"input":{"type":"http","method":"POST","discoverable":true},"output":{"input":{"type":"http","method":"POST","bodyType":"json","bodyFields":{"text":{"type":"string","required":true},"google":{"type":"object","required":false,"properties":{"key":{"type":"string"}}},"encoding":{"type":"string","required":false},"requested_service":{"type":"string","required":true}}}}},"maxAmountRequired":"50000","maxTimeoutSeconds":60}]},"qualityScore":"0.400","qualityRationale":"The x402 challenge is live and provides an input schema with field types and requirements, but there is no documentation, no OpenAPI spec, no example responses, and the provider's site is essentially empty. Response format is entirely unknown and must be inferred from Google's API 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