{"ok":true,"service":"kelly-glass-lab","route":"/api/glass-lab/sector-labs/source_intake","generatedAt":"2026-07-08T06:55:06.478Z","readOnly":true,"mutationAllowed":false,"publicUserWriteAllowed":false,"id":"source_intake","title":"Source Intake & Provenance Lab","template":{"id":"source_intake","label":"Source Intake & Provenance Lab","shortLabel":"Sources","tagline":"Every feed becomes tagged fuel before KELLY is allowed to learn from it.","bestFor":"Showing the universal reality blanket: source, license, freshness, authority, and use tags.","safeClaim":"Shows data intake readiness, source boundaries, feed roles, and proof eligibility.","blockedClaim":"No raw public/user data becomes ground truth without provenance, replay, and governed eligibility.","focusLabel":"Pick a source family","focusQuestion":"Which feed family should KELLY inspect?","questionLabel":"What source question are you asking?","responseNode":null,"sourceIds":[],"focusPresets":[{"id":"public_apis","label":"Public APIs","riskType":"structured reality feeds"},{"id":"firecrawl","label":"Firecrawl","riskType":"web observation intake"},{"id":"research","label":"Research feeds","riskType":"knowledge metadata"},{"id":"markets","label":"Market feeds","riskType":"prices and macro"}],"questionPresets":[{"id":"license","label":"License","nodeId":"SOURCE:LICENSE","userQuestion":"Can KELLY legally use this?"},{"id":"freshness","label":"Freshness","nodeId":"SOURCE:FRESHNESS","userQuestion":"Is the source fresh enough?"},{"id":"authority","label":"Authority","nodeId":"SOURCE:AUTHORITY","userQuestion":"How authoritative is this source?"},{"id":"fuel","label":"Fuel eligibility","nodeId":"SOURCE:FUEL_ELIGIBILITY","userQuestion":"Can this become learning fuel?"}],"defaultNodes":["SOURCE:RAW","SOURCE:LICENSE","SOURCE:FRESHNESS","SOURCE:AUTHORITY","SOURCE:PROOF_ELIGIBLE","SOURCE:MEMORY_ELIGIBLE"],"defaultEdges":["SOURCE:RAW -> SOURCE:LICENSE","SOURCE:LICENSE -> SOURCE:PROOF_ELIGIBLE","SOURCE:AUTHORITY -> SOURCE:MEMORY_ELIGIBLE"]},"persona":{"audience":"Showing the universal reality blanket: source, license, freshness, authority, and use tags.","primaryQuestion":"Which feed family should KELLY inspect?","method":"Shows data intake readiness, source boundaries, feed roles, and proof eligibility. KELLY routes this through tagged intake, causal pressure nodes, forecast lanes, settlement, calibration, and replayable memory evidence.","proofPromise":"Every useful view should expose source provenance, causal node, settlement rule, calibration result, and replay/memory eligibility when available.","liveApp":"/sector-labs/source-intake"},"advantage":{"headline":"Why KELLY can be stronger here","claim":"KELLY is designed to win by being scoreable: every forecast should connect to source evidence, causal assumptions, falsifiers, settlement, calibration, replay, and memory lineage.","whyItMatters":"A forecast platform is only as good as its ability to be wrong in public, adjust from reality, and improve the next forecast without hiding the chain.","whereProofLives":["Source plan: the approved feed rows on this page","Forecast method: the doctrine timeline on this page","Authority evidence: Authority Index and replay receipts","Score evidence: settlement and calibration records","System evidence: Brain Fleet, generality evidence, and advanced proof labs"],"superiorityBoundary":"KELLY should be called better only where its scorecards, calibration, replay receipts, and source coverage outperform alternatives. This page is built to make that measurable.","sectorEdge":"Shows data intake readiness, source boundaries, feed roles, and proof eligibility."},"uxPatterns":["Citation-forward answer pattern: put sources and proof next to claims.","Forecasting track-record pattern: keep probability, resolution rule, score, and history together.","Watchlist pattern: let users inspect a saved set without writing ground truth.","Alert/status pattern: show what changed, what is stale, and what KELLY is watching."],"researchReferences":[{"name":"TradingView","url":"https://www.tradingview.com/features/","lesson":"Charts, alerts, screeners, replay, multi-chart layouts, and fast command/search patterns make market work feel immediate."},{"name":"Metaculus","url":"https://www.metaculus.com/faq/","lesson":"Forecast questions need clear resolution rules, track records, scoring, calibration, and aggregation history."},{"name":"Windy / Windy.app","url":"https://windy.app/","lesson":"Weather users need maps, layers, local points, alerts, history, model comparison, and fast location context."},{"name":"Perplexity","url":"https://www.perplexity.ai/help-center/en/articles/10352895-how-does-perplexity-work.html","lesson":"Answer users expect citations beside claims, follow-up context, and checkable source trails."}],"liveStatus":{"state":"warming_specialized_read_only","sourcePresentCount":3,"sourceCount":4,"brainFleetHealthy":0,"visibleAuthorityRows":0,"generatedHypotheses":0,"realityClosures":0,"marketFeedAvailable":null},"sources":[{"id":"firecrawl","label":"Firecrawl","cost":"paid_key","keyName":"FIRECRAWL_API_KEY","present":false,"note":"Web extraction for tagged observations, not direct memory writes."},{"id":"federal-register","label":"Federal Register","cost":"free_no_key","keyName":null,"present":true,"note":"Official public records."},{"id":"crossref","label":"Crossref","cost":"free_no_key","keyName":null,"present":true,"note":"Research metadata and DOI records."},{"id":"arxiv","label":"arXiv","cost":"free_no_key","keyName":null,"present":true,"note":"Preprint metadata and research observations."}],"forecastMethod":["Approved source intake only","Tag source, freshness, domain, and authority","The Book of Why: ask what caused the change, what would have happened otherwise, and what evidence can falsify the causal story","Thinking in Systems: map feedback loops, delays, stocks, flows, constraints, and downstream effects","Thinking, Fast and Slow: separate fast pattern recognition from slower deliberate verification","Superforecasting: start with base rates, update incrementally, keep probabilities explicit, and score the forecast later","Thinking in Bets: treat every forecast as a wager against reality with a clear settlement rule","Build causal pressure nodes and forecast cones","Separate KELLY forecast from user forecast","Track falsifiers, uncertainty, and competing explanations","Close against reality","Score calibration and error direction","Apply continuous micro-adjustments after settlement to improve future accuracy","Create replayable memory evidence when eligible"],"proofSurfaces":{"authorityIndex":"/authority-index","competitiveProofLabs":"/advanced-proof-labs","agiReadiness":"/generality-evidence","brainFleet":"/api/brain-fleet","templates":"/api/sector-labs","marketSummary":null},"metrics":{"visibleCells":0,"authorityCoverage":null,"readinessScore":0,"brainFleetHealthy":0,"sourcePresentCount":3,"sourceCount":4},"marketSummary":null,"boundary":{"readOnly":true,"publicUserWriteAllowed":false,"noAdviceSubstitute":"No raw public/user data becomes ground truth without provenance, replay, and governed eligibility.","noClaimOfPerfectPrediction":true,"proofRequiredForEveryForecast":true},"proofScore":{"score":44,"grade":"early","sourceCoverage":75,"brainCoverage":0,"authorityVisible":false,"proofSurfaceCoverage":100,"readinessContribution":0,"interpretation":"Score combines source coverage, brain fleet health, visible authority evidence, proof links, readiness map, and doctrine coverage. It is a product proof score, not a promise of forecast accuracy."}}