{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-002-candidate-11", "canonicalCandidateSha256": "9e77d19ab8d6256d74a25c8628d95eaf828484c0816ea12e6cd785996a851e65", "fictionalDisclosure": true, "fiction": { "name": "SiteMettle", "developerName": "Local Consequence Lab", "iconAsset": "/storefront/v2/icons/category-002-candidate-11.svg", "iconTheme": { "motif": "A distinct geometric mark derived from the fictional name.", "palette": "High-contrast spectral gradient.", "shapeLanguage": "Rounded app-store tile with a clear lettermark.", "accessibilityNote": "The name remains visible beside the icon; colour is not the only identifier." }, "storeDescription": "SiteMettle is a fictional mobile laboratory for autonomous services that have physical consequences. Its team brings calibrated sensors and concealed work cases to the actual site, then measures completion, energy, uptime, human intervention, damage and repair. A remote provider cannot pass using its own dashboard alone. Each report names the exact equipment, season, site and provider chain tested, so a result from a cool city warehouse cannot be quietly reused for a hot rural clinic.", "rating": 4.7, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "IslandGridTech", "title": "The remote benchmark hid our reality", "body": "The site trial found an energy spike and a repair delay that never appeared in the supplier's simulation. We changed the rollout plan.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "SeasonalOps", "title": "One visit cannot prove a full year", "body": "The measurements were solid for the tested month, but our wet season is different. The report was honest about that limitation.", "stars": 3, "stance": "critical", "fictionalDisclosure": true } ] }, "category": { "id": "category-002", "name": "Independent Proof That Work Really Finishes", "plainLanguageDefinition": "Forecast services that test bold machine and service claims in the real places where they must work. They expose hidden human rescue, broken hand-offs, delayed harm, physical damage and failed recovery, then produce evidence that buyers and affected people can challenge.", "recurringBrowsePurpose": "A buyer, safety body, assurance lab, standards body, regulator, insurer, worker body, outside researcher or affected group that needs evidence stronger than fluent output or supplier-run checks.", "completion": { "trigger": "A consequential capability or service claim lacks fresh outside evidence from a setting, time period and affected group that match the intended use.", "boundedWork": "Run independently chosen hard-case trials, observe complete work and human rescue, record the domain's exposure, uptime, energy, harm and recovery fields, repeat checks for lasting effects, publish methods, costs and limits, and support retesting when the service or setting changes.", "observableDone": "The caller receives a reproducible packet covering completion, intervention, damage, recovery, excluded settings, baseline and follow-up results, test cost and a dated retest rule. It shows when regional conditions match and names any failed claim, responsible operator and correction route." } }, "rank": { "mainChartPosition": 6, "rangeAcrossWeights": [ 3, 7 ], "dominantWorldIds": [ "W04" ], "whyAboveNext": "It ranks above OutcomeLock because it can directly observe physical completion and recovery, while a payment witness still depends on the parties agreeing a game-resistant definition of finished work.", "whyThisPosition": "It ranks sixth because delivery is highly plausible, the outcome is observable and local physical evidence matters across many economies. It scores lower on future distance because mobile testing and commissioning already exist, even if the 2031 unit being tested is new. Cost, safe test windows and uneven local repair capacity also limit breadth, but those same differences make its site-specific warnings valuable.", "couldMoveUpIf": "It could rise if autonomous-service contracts routinely include standard test ports, safe field windows and funding for independent local measurement.", "couldMoveDownIf": "It would fall if remote services remain mostly software or if established commissioning firms absorb provider-chain testing into their normal work.", "strongestCounterCase": "Industrial certification and commissioning firms already have instruments, site access and safety knowledge, so they may add autonomous-service fields more efficiently than a new app-based lab network.", "publishedChartAppearances": [ { "chart": "main", "rank": 6, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Bring the proof rig to the real site and reveal the energy, rescue and repair hidden online.", "whatItDoes": { "headline": "Physical Claim Testbed", "summary": "It installs independent measuring equipment, runs safe routine and difficult cases, records every local intervention and rehearses recovery with local workers. The final packet says what physically finished, what resources it used, what broke and where the result must not be transferred.", "steps": [ "A portable outside team maps the site's physical boundary, baseline, workers, energy, safety limit and recovery capacity.", "The team runs concealed complete-work cases through normal and stressed conditions while measuring uptime, intervention, damage and resource use.", "It repeats recovery, publishes the local result and transfer limits, and sets a retest date after material equipment or service change." ], "outcome": "The caller receives a site-matched proof packet showing actual completion, exposure, resource cost, rescue and repair rather than a remote benchmark." }, "whyOnTheList": { "headline": "Physical settings decide whether autonomous work is truly finished.", "summary": "The forecast assumes remote machine services will increasingly coordinate physical work across changing provider chains. Yet energy supply, climate, ageing equipment, maintenance and repair remain stubbornly local. SiteMettle belongs on the list because digital proof cannot show whether work finishes safely at a particular site, and smaller operators may need a shared mobile lab rather than building their own assurance facility.", "why2031Not2026": "Industrial commissioning and field tests exist now. The structural change is that the thing being tested is no longer one fixed machine; it is a changing remote service assembled across providers. SiteMettle links that digital chain to physical resource use, local human rescue and the site's actual ability to recover.", "worldShifts": [ { "shift": "In W04, autonomous services can coordinate decisions across remote providers while local equipment, energy and repair still determine the real outcome.", "causalChain": [ "A remote service can report successful action from its own interface.", "Local power, equipment, weather and maintenance can turn that action into delay, damage or unfinished work.", "A mobile real-site test makes those physical dependencies and recovery limits visible before scale." ], "basis": "measured-trend", "evidenceIds": [ "src-metr-long-tasks-2025", "src-international-ai-safety-report-2026" ], "worldIds": [ "W04" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "Equipment ages, seasons change, providers update and local repair capacity moves." }, "futureDistance": { "cutoffBaseline": "In 2026, site acceptance and industrial field testing exist, but autonomous provider chains do not routinely require a portable proof of whole-work resource use, rescue and recovery.", "structuralDifference2031": "The mobile lab tests the local physical consequence of a changing remote autonomous service, not one fixed machine.", "essential2031Conditions": [ "Autonomous services routinely coordinate consequential physical work across remote provider chains while local sites retain material environmental and repair constraints." ], "notJustBetterAI": "Its indispensable value is independent physical exposure and local recovery evidence across a remote service chain.", "failureCondition": "If autonomous services remain bounded software or fixed machines with mature local acceptance tests, existing labs are enough." }, "howItCouldBeBuilt": { "overview": "A mobile lab combines calibrated sensors, concealed work cases, a human-intervention log and a local repair rehearsal under a published safety plan.", "components": [ { "name": "Portable exposure rig", "plainLanguageRole": "Measures energy, uptime, environment and physical outcome independently of supplier telemetry." }, { "name": "Local recovery rehearsal", "plainLanguageRole": "Observes who makes the site safe, finishes the work and restores normal operation." } ], "dependencies": [ { "kind": "physical-institutional", "name": "Safe site access and calibrated independent measurement", "plainLanguageRole": "Lets the operator observe the physical outcome and recovery without relying on the tested supplier.", "causalRequirement": "High-consequence autonomous-service contracts can include portable test ports, safe windows and local worker participation.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W04" ], "ifMissing": "Issue no physical completion claim and state which supplier telemetry remains unverified." } ], "hardestPart": "Producing comparable evidence without erasing the local physical differences that determine success.", "whatCouldBeSimpler": "A witnessed site acceptance test with existing meters." }, "harmsAndFailure": { "whoBenefits": [ "Reveals hidden energy and physical rescue", "Makes local repair capacity part of the claim" ], "warnings": [ "Site workers", "Nearby people affected by interruption", "Small sites facing cost" ], "waysItCouldFail": [ "Test-induced physical damage", "Worker surveillance", "False transfer from one season" ], "abuseRisks": [ "A supplier tunes for the announced rig", "A buyer pressures the site to accept unsafe stress", "Resource measurements omit upstream cost" ], "safeguards": [ "Concealed cases within independent safety limits", "Worker participation and minimal identity data", "Explicit boundary, season and upstream exclusions" ], "whenItMustStop": "Abort on physical safety threshold, uncontained resource loss or missing local recovery staff." }, "rankExplanation": { "whyThisRank": "It ranks sixth because delivery is highly plausible, the outcome is observable and local physical evidence matters across many economies. It scores lower on future distance because mobile testing and commissioning already exist, even if the 2031 unit being tested is new. Cost, safe test windows and uneven local repair capacity also limit breadth, but those same differences make its site-specific warnings valuable.", "sourceWhyAboveNext": "It ranks above OutcomeLock because it can directly observe physical completion and recovery, while a payment witness still depends on the parties agreeing a game-resistant definition of finished work.", "plainEnglishWhyAboveNext": "It ranks above OutcomeLock because it can directly observe physical completion and recovery, while a payment witness still depends on the parties agreeing a game-resistant definition of finished work.", "couldMoveUpIf": "It could rise if autonomous-service contracts routinely include standard test ports, safe field windows and funding for independent local measurement.", "couldMoveDownIf": "It would fall if remote services remain mostly software or if established commissioning firms absorb provider-chain testing into their normal work.", "basis": "design-inference", "evidenceIds": [ "src-metr-long-tasks-2025", "src-international-ai-safety-report-2026", "SC-R01", "SC-R02", "SC-R05", "SC-R06", "SC-R03", "SC-R04", "SC-R21", "SC-R22", "SC-R18", "SC-R19", "src-asean-ai-governance-guide-2024", "src-un-sids-digital-foundations" ], "worldIds": [ "W04" ], "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption." }, "grounding": { "scores": { "futureDistance": 4, "needScale": 4, "globalBreadth": 5, "marketplaceClarity": 5, "deliveryReadiness2031": 5, "trustAndSafety": 4, "total": 89 }, "evidenceAnchors": [ { "statement": "The bound evidence warns that performance is jagged and does not automatically transfer from bounded tests to longer real tasks.", "basis": "measured-trend", "evidenceIds": [ "src-metr-long-tasks-2025", "src-international-ai-safety-report-2026" ], "worldIds": [ "W04" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "State, provider, climate and repair differences require local trials.", "evidenceIds": [ "SC-R01", "SC-R02" ] }, { "geographyId": "mainland-china", "fit": "conditional", "explanation": "Identity and outcome transparency matter, but independent site correction needs proof.", "evidenceIds": [ "SC-R05", "SC-R06" ] }, { "geographyId": "european-union", "fit": "conditional", "explanation": "Cross-border standards, human alternatives and data duties shape portable testing.", "evidenceIds": [ "SC-R03", "SC-R04" ] }, { "geographyId": "india", "fit": "unknown", "explanation": "The packet lacks direct physical-test transfer and recovery evidence for India.", "evidenceIds": [] }, { "geographyId": "japan-and-republic-of-korea", "fit": "unknown", "explanation": "Local site, season and repair evidence is absent.", "evidenceIds": [] }, { "geographyId": "gulf-technology-economies", "fit": "unknown", "explanation": "Climate, migrant-worker and infrastructure conditions require direct field evidence.", "evidenceIds": [] }, { "geographyId": "latin-america", "fit": "conditional", "explanation": "Country-specific infrastructure and community rights limit transfer.", "evidenceIds": [ "SC-R21", "SC-R22" ] }, { "geographyId": "africa", "fit": "conditional", "explanation": "National infrastructure, energy and repair access determine feasibility.", "evidenceIds": [ "SC-R18", "SC-R19" ] }, { "geographyId": "other-material-paths", "fit": "conditional", "explanation": "Islands and other material paths require local resource, connectivity and recovery evidence.", "evidenceIds": [ "src-asean-ai-governance-guide-2024", "src-un-sids-digital-foundations" ] } ], "scenarioFit": [ { "worldId": "W04", "fit": "strong", "reason": "Remote autonomous coordination increases the gap between a provider's digital success and the site's physical completion and repair." } ], "resolutionCriteria": [ "Independent instruments reproduce the main completion and resource findings.", "Every test observes human intervention, damage and recovery at the site.", "Reports state site, season, equipment and provider-chain transfer limits." ] }, "evidenceLimitations": "Observed and published evidence grounds the world pressures and present constraints. The category, product, developer, reviews, rating and exact rank are fictional forecasts and may be wrong.", "datedCollisionAudit": { "cutoff": "2026-08-02", "auditedAt": "2026-08-03T23:59:59.000Z", "verdict": "future-dependent-no-collision-found", "publicReason": "no-material-collision-found. This is a search-engine snapshot, not a trademark search, company-register search, domain search, app-store clearance or legal opinion. Search indexing and regional coverage are incomplete, and a no-material-collision-found verdict means only that this bounded search did not surface a material exact-name use. It does not establish availability or clearance.", "closestMatches": [] }, "evidenceReferences": [ { "kind": "source", "id": "src-metr-long-tasks-2025", "title": "Measuring AI Ability to Complete Long Tasks", "publisher": "Model Evaluation and Threat Research", "url": "https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/", "publishedAt": "2025-03-19", "accessedAt": "2026-08-02", "limitations": "The task set is weighted toward software and research work. A historical doubling trend does not guarantee continuation or transfer to 30-day, multi-stakeholder assignments.", "evidenceClass": "measured-trend", "geographies": [ "global" ] }, { "kind": "source", "id": "src-international-ai-safety-report-2026", "title": "International AI Safety Report 2026", "publisher": "International AI Safety Report", "url": "https://internationalaisafetyreport.org/publication/international-ai-safety-report-2026", "publishedAt": "2026-02-03", "accessedAt": "2026-08-02", "limitations": "The report synthesises evidence available through December 2025, so later capability claims require separate checks. Trend continuation and risk scenarios are not forecasts, and benchmark progress may not transfer to messy real work.", "evidenceClass": "measured-trend", "geographies": [ "global" ] }, { "kind": "source", "id": "SC-R01", "title": "Our Epidemic of Loneliness and Isolation", "publisher": "United States Department of Health and Human Services, Office of the Surgeon General", "url": "https://www.hhs.gov/sites/default/files/surgeon-general-social-connection-advisory.pdf", "publishedAt": "2023-05-02", "accessedAt": "2026-08-02", "limitations": "Many reported health relationships are observational associations; United States evidence is not globally representative.", "evidenceClass": "measured-trend", "geographies": [ "United States" ] }, { "kind": "source", "id": "SC-R02", "title": "Families and living arrangements: 2022 data", "publisher": "United States Census Bureau", "url": "https://www.census.gov/newsroom/press-releases/2024/families-living-arrangements.html", "publishedAt": "2024-05-30", "accessedAt": "2026-08-02", "limitations": "Household composition is not a measure of loneliness, relationship quality or voluntary solitude.", "evidenceClass": "measured-trend", "geographies": [ "United States" ] }, { "kind": "source", "id": "SC-R05", "title": "Communique on Major Data of the 1% National Population Sample Survey in 2025", "publisher": "National Bureau of Statistics of China", "url": "https://www.stats.gov.cn/english/PressRelease/202605/t20260522_1963789.html", "publishedAt": "2026-05-22", "accessedAt": "2026-08-02", "limitations": "Demographic, household and migration indicators do not directly measure loneliness, belonging or relationship quality.", "evidenceClass": "measured-trend", "geographies": [ "China" ] }, { "kind": "source", "id": "SC-R06", "title": "China targets wider mutual-aid eldercare coverage by 2030", "publisher": "State Council of the People's Republic of China", "url": "https://english.www.gov.cn/news/202604/29/content_WS69f1abd1c6d00ca5f9a0ab18.html", "publishedAt": "2026-04-29", "accessedAt": "2026-08-02", "limitations": "A target is not proof of implementation, equitable access, service quality or social-connection outcomes.", "evidenceClass": "policy-intent", "geographies": [ "China" ] }, { "kind": "source", "id": "SC-R03", "title": "EU Loneliness Survey", "publisher": "European Commission Joint Research Centre", "url": "https://joint-research-centre.ec.europa.eu/projects-and-activities/survey-methods-and-analysis-centre/loneliness/eu-loneliness-survey_en", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "Online 2022 survey; response and sampling differences limit exact comparisons between countries.", "evidenceClass": "measured-trend", "geographies": [ "European Union member states surveyed in 2022" ] }, { "kind": "source", "id": "SC-R04", "title": "Household composition statistics", "publisher": "Eurostat", "url": "https://ec.europa.eu/eurostat/statistics-explained/SEPDF/cache/29071.pdf", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "Household form does not measure loneliness or belonging; member-state patterns vary.", "evidenceClass": "measured-trend", "geographies": [ "European Union" ] }, { "kind": "source", "id": "SC-R21", "title": "The care society: acting today for a better future", "publisher": "United Nations Economic Commission for Latin America and the Caribbean", "url": "https://www.cepal.org/en/articles/2024-care-society-acting-today-better-future", "publishedAt": "2024-10-29", "accessedAt": "2026-08-02", "limitations": "Regional aggregates conceal country and subnational variation; care pressure is not a direct loneliness measure.", "evidenceClass": "policy-intent", "geographies": [ "Latin America and the Caribbean" ] }, { "kind": "source", "id": "SC-R22", "title": "Mental health", "publisher": "Pan American Health Organization", "url": "https://www.paho.org/en/topics/mental-health", "publishedAt": "2026-08-02", "accessedAt": "2026-08-02", "limitations": "Regional treatment-gap and spending summaries are not current service-capacity estimates for each country.", "evidenceClass": "measured-trend", "geographies": [ "Latin America and the Caribbean; Americas where stated" ] }, { "kind": "source", "id": "SC-R18", "title": "Urgent action needed to accelerate mental health progress in African region", "publisher": "World Health Organization Regional Office for Africa", "url": "https://www.afro.who.int/news/urgent-action-needed-accelerate-mental-health-progress-african-region", "publishedAt": "2024-10-10", "accessedAt": "2026-08-02", "limitations": "Regional averages hide large country differences; service inputs do not prove access, quality or outcomes.", "evidenceClass": "measured-trend", "geographies": [ "WHO African Region" ] }, { "kind": "source", "id": "SC-R19", "title": "Ageing in Africa", "publisher": "United Nations Department of Economic and Social Affairs", "url": "https://www.un.org/development/desa/en/news/population/ageing-in-africa.html", "publishedAt": "2016-05-04", "accessedAt": "2026-08-02", "limitations": "Older source and projection; Africa is highly heterogeneous and remains younger than other world regions.", "evidenceClass": "modelled-projection", "geographies": [ "Africa" ] }, { "kind": "source", "id": "src-asean-ai-governance-guide-2024", "title": "ASEAN Guide on AI Governance and Ethics", "publisher": "Association of Southeast Asian Nations", "url": "https://asean.org/wp-content/uploads/2024/02/ASEAN-Guide-on-AI-Governance-and-Ethics_beautified_201223_v2.pdf", "publishedAt": "2024-02-02", "accessedAt": "2026-08-02", "limitations": "The guide is voluntary and focuses on responsible adoption rather than frontier capability. ASEAN member states differ greatly in infrastructure, regulation, income, and implementation capacity.", "evidenceClass": "policy-intent", "geographies": [ "other" ] }, { "kind": "source", "id": "src-un-sids-digital-foundations", "title": "Small Island Developing States", "publisher": "United Nations Department of Economic and Social Affairs", "url": "https://sdgs.un.org/topics/small-island-developing-states", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "The official topic page did not expose a single reliable publication date; it was accessed on 2026-08-02. It establishes structural constraints and agreed priorities, not a specific AI adoption path.", "evidenceClass": "policy-intent", "geographies": [ "other" ] } ], "rankingIndexPath": "rankings/category-002/index.json", "sourceReceipts": [] }