{"uid":"cap_JhNGFd7ujH2mYwA6pEPqb","slug":"lilambd-world-signals-pro-a6cc33b5","name":"Lilambd World Signals Pro","description":"A crossing for play, feeling, language, science and computation — creating states that do not have names yet.","url":"https://api.lilambd.com/signals-pro/latest?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","queryParams"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","required":["table"],"properties":{"date":{"type":"string","description":"YYYY-MM-DD; default latest loaded"},"limit":{"type":"string","description":"default 50, max 200"},"table":{"type":"string","description":"gdelt_events | github_new_repos | hf_trending | package_downloads | country_daily"},"offset":{"type":"string","description":"paging offset"}},"additionalProperties":{"type":"string"}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string","const":"json"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"data":[{"z7":22.15,"ma7":3.86,"date":"2026-11-03","iso2":"RU","is_new":false,"anomaly":true,"dod_pct":1800,"gap_days":1,"cameo_root":"14","dod_change":18,"prev_value":1,"anomaly_dir":"up","event_count":19,"goldstein_mean":-6.5,"cameo_root_name":"Protest"}],"date":"2026-11-03","attribution":"Computed by Lilambd (World Signals Pro) from: the GDELT Project ..."}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_tXOzOiN6FMfvVjTJ2sLoa","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns computed anomaly and trend signals across global event, technology, and package-activity datasets for a given date and table.","exampleAgentPrompt":"Pull the latest gdelt_events signals from Lilambd World Signals Pro and show me any anomalies for today, up to 100 results.","exampleUseCases":[{"title":"Geopolitical protest surge alert","prompt":"Check the gdelt_events table in Lilambd World Signals Pro for today and flag any countries showing anomalous protest activity — I want to see the day-over-day change and Goldstein scores."},{"title":"Trending AI model spike detection","prompt":"Fetch the hf_trending signals from Lilambd for 2025-06-10 and show me which models had anomalous spikes in interest, up to 50 results."},{"title":"Package download anomaly monitoring","prompt":"Get the package_downloads table from Lilambd World Signals Pro for yesterday and list any packages where downloads spiked abnormally — show me the z-score and direction of the anomaly."}],"resultDescription":"Returns a JSON object with a 'data' array of records, each containing: date, country ISO2 code, CAMEO event root code and name, event count, Goldstein scale mean, 7-day moving average, z-score, day-over-day change percentage and absolute change, anomaly boolean, anomaly direction (up/down), gap days, and whether the entry is new. Also includes top-level date and attribution fields crediting the source datasets.","failureModes":["Invalid or unsupported table name returns an error — must be one of: gdelt_events, github_new_repos, hf_trending, package_downloads, country_daily","Date not yet loaded returns empty data or an error if the requested date is ahead of ingestion","Limit exceeding 200 may be capped or rejected","Missing required 'table' query parameter returns a validation error","Payment failure (x402) if USDC balance is insufficient or payment is not properly submitted"],"whenToPreferThis":"Use this endpoint when you need pre-computed, anomaly-detected global signals across geopolitical events, trending repositories, Hugging Face model activity, or package downloads — particularly when you want z-scores, day-over-day change rates, and anomaly flags already calculated rather than raw data. Prefer this over raw GDELT or GitHub APIs when you need a single, normalized, paginated feed of statistical outliers across multiple domains.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T06:35:52.251Z","isFirstParty":false,"canonicalSlug":"lilambd-world-signals-pro-a6cc33b5"}