{"uid":"cap_YVRL-jciObMrLjnRXty2w","slug":"multi-source-news-sentiment-timeline-ee0e825f","name":"Multi-Source News Sentiment Timeline","description":"","url":"https://x402.professorsausages.com/news/timeline","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","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":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_aaiCUzhNzBTSzNvmjYkMD","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns volume of matching news headlines bucketed by hour or day, plus average GDELT sentiment score per bucket, forming a local sentiment timeline","exampleAgentPrompt":"Can you pull up the news headline volume and GDELT sentiment scores for 'OpenAI' bucketed by day over the last two weeks so I can see how coverage has shifted?","exampleUseCases":[{"title":"Track earnings announcement media impact","prompt":"Can you show me the volume of news headlines and sentiment scores for 'Tesla earnings' bucketed by hour over the past three days so I can see how media coverage spiked around the announcement?"},{"title":"Monitor brand sentiment after PR crisis","prompt":"I need a day-by-day sentiment timeline for 'Boeing' over the last month — how many headlines ran each day and whether the tone was trending positive or negative after the recent news?"},{"title":"Analyze political event coverage intensity","prompt":"Can you pull the hourly news volume and GDELT sentiment for 'NATO summit' over the past week so I can map out when coverage peaked and how the sentiment shifted throughout the event?"}],"resultDescription":"A time series array of buckets (hour or day granularity), each containing the count of matching headlines and the average GDELT sentiment score for that bucket, enabling trend and intensity analysis of news coverage for a given topic.","failureModes":["No headlines found for the query — returns empty buckets or zero counts","Invalid or missing query parameter — likely a 400 bad request or empty response","Date range too large or unsupported bucket size — may return an error or truncated results","GDELT data unavailability for a time window — sentiment values may be null or missing for some buckets","Payment failure (x402) — 402 response if USDC payment is not processed correctly"],"whenToPreferThis":"Use this endpoint when you need a temporal view of news coverage — combining both volume (how many headlines) and sentiment (how positive or negative) in time buckets. Prefer it over simple headline search when the goal is trend analysis, media intensity tracking, or sentiment shift detection over time rather than retrieving individual articles.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T12:47:59.419Z","isFirstParty":false}