{"$schema":"https://verifymcp.io/schemas/trust-report.json","schemaVersion":1,"license":{"name":"CC BY-NC 4.0","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"generatedAt":"2026-11-05T16:25:05.043Z","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp","markdownUrl":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp.md","server":{"slug":"com-altfndata-altfinance-mcp","name":"ALT/FNDATA","registryName":"com.altfndata/altfinance-mcp","description":"Auction comparables for luxury & collectibles appraisal: search, stats, price trends, valuations.","registryStatus":"active","deletedAt":null,"statusMessage":null,"liveness":"live","publisher":{"class":"unknown","claimed":false}},"component":{"slug":"altfinance-mcp","type":"pypi","identifier":"altfinance-mcp","withdrawn":false,"url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp","version":"0.4.7","transport":"stdio","scoredAt":"2026-11-05T04:03:42.876Z"},"score":{"total":71,"tier":"medium","status":"scored","weekDelta":4,"history":[{"date":"2026-11-05","total":71},{"date":"2026-11-04","total":70},{"date":"2026-11-03","total":70},{"date":"2026-11-02","total":69},{"date":"2026-11-01","total":69},{"date":"2026-10-31","total":68},{"date":"2026-10-30","total":68},{"date":"2026-10-29","total":67},{"date":"2026-10-28","total":67},{"date":"2026-10-27","total":67},{"date":"2026-10-26","total":66},{"date":"2026-10-25","total":39}]},"categories":[{"name":"Supply Chain Security","score":100,"verdict":"pass","reasons":["No malware found by supply-chain analysis.","No known CVEs affecting this package version or its production dependencies.","Runs hatchling.build at install time, a recognised build step with no custom scripting around it.","0 of 28 dependencies flagged as unhealthy."],"codes":[{"code":"supplychain.malware_clean","args":{}},{"code":"cve.none","args":{}},{"code":"installscript.allowlisted","args":{"tool":"hatchling.build","hooks":"build_backend"}},{"code":"dephealth.assessed","args":{"deps":"28","unhealthy":"0"}}]},{"name":"Provenance & Transparency","score":45,"verdict":"fail","reasons":["Source repository is publicly reachable at the declared URL.","Provenance check failed: no build-provenance attestation is published.","Clear OSI-approved license (MIT).","Actively maintained (last published 9 days ago).","Disclosure check failed: no security disclosure policy was found in the source repository."],"codes":[{"code":"provenance.repo_verified","args":{}},{"code":"provenance.none","args":{}},{"code":"license.osi","args":{"spdx":"MIT"}},{"code":"maintenance.recent","args":{"age_days":"9"}},{"code":"disclosure.absent","args":{}}]},{"name":"Schema Quality & AI Usability","score":61,"verdict":"fail","reasons":["AI-judged instruction clarity (excellent).","Context-footprint check failed: tool/resource definitions use about 2448 tokens (~272/item across 9 items; 9 tools + 0 resources), over budget; trim descriptions and params.","Usage-examples check failed: none of the tools include examples."],"codes":[{"code":"schema.ai_quality","args":{"band":"excellent"}},{"code":"schema.footprint_heavy","args":{"avg":"272","items":"9","tools":"9","tokens":"2448","resources":"0"}},{"code":"schema.examples_absent","args":{}}]},{"name":"Stability & Change Management","score":37,"verdict":"partial","reasons":["Stability observed for 11 of 30 days with no destabilising changes; credit accrues until the full window elapses."],"codes":[{"code":"stability.building_history","args":{"days":"11"}}]},{"name":"Tool Coverage","score":71,"verdict":"fail","reasons":["100% of tools have a non-trivial description (not blank, and not just the tool's name).","0% of tool parameters carry a description.","Structured output schemas are declared (100% of tools); any adoption earns full credit."],"codes":[{"code":"toolquality.descriptions","args":{"pct":"100"}},{"code":"toolquality.param_docs","args":{"pct":"0"}},{"code":"toolquality.output_present","args":{"pct":"100"}}]},{"name":"Tool Safety","score":100,"verdict":"pass","reasons":["No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.","We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.","An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it."],"codes":[{"code":"toolsafety.injection_clean","args":{}},{"code":"toolsafety.destructive_none","args":{"tools":"9"}},{"code":"toolsafety.manipulation_clean","args":{"units":"10","judged":"10"}}]},{"name":"Capabilities","score":100,"verdict":"pass","reasons":["Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28."],"codes":[{"code":"protocol.supported","args":{"latest":"2026-07-28","version":"2025-11-25"}}]}],"inconclusive":[],"malware":[],"components":[{"slug":"mcp","type":"remote","identifier":"https://mcp.altfndata.com/mcp","withdrawn":false,"score":36,"current":false,"url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/mcp","markdownUrl":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/mcp.md"},{"slug":"altfinance-mcp","type":"pypi","identifier":"altfinance-mcp","withdrawn":false,"score":71,"current":true,"url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp","markdownUrl":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp.md"}],"facts":[{"label":"Registry","value":"pypi"},{"label":"Package","value":"altfinance-mcp"},{"label":"Version","value":"0.4.7"},{"label":"Transport","value":"stdio"}],"install":{"available":true,"bundleSha256":null},"tools":[{"name":"list_tables","title":null,"description":"List every auction-data table ALT/FNDATA serves, with live descriptions\nand column counts.\n\nStart here whenever a question names a category and you need the right table\nalias to pass to get_table_schema, query_table, market_stats or price_trend.\nThe set spans watches, jewelry (finished/mounted pieces), gems (loose\nstones), handbags, cars, motorcycles, wine & whisky, works of art, fine art,\ncoins, and more. Always call this for the current set rather than assuming\nit, and note that loose gemstones live in `gems`, not `jewelry`.\n\nExample: for \"what categories of data do you have?\" or before \"show me the\nmost expensive coins sold at auction\" (to confirm the `coins` alias exists).","inputs":[],"outputs":[{"name":"result","type":"string","required":true,"description":null}],"hasOutputSchema":true,"hasExamples":false,"tokenEstimate":167},{"name":"get_table_schema","title":null,"description":"List a table's column names and types so you can build a precise query.\n\nCall this before query_table (or before adding `filters` to market_stats /\nprice_trend) to learn the exact field names a table exposes — e.g. whether\nprices are in `usd_price_decimal`, how the brand/designer field is named, or\nwhether a `carats` column exists. Avoids guessing column names.\n\nExample: before querying Rolex sales, call get_table_schema(\"watches\") to\nconfirm the brand field is `designer` and the price field is\n`usd_price_decimal`.\n\nArgs:\n    table: Table alias (call list_tables for the full set). Note: \"gems\" =\n           loose/unmounted stones; \"jewelry\" = finished/mounted pieces.","inputs":[{"name":"table","type":"string","required":true,"description":null}],"outputs":[{"name":"result","type":"string","required":true,"description":null}],"hasOutputSchema":true,"hasExamples":false,"tokenEstimate":177},{"name":"query_table","title":null,"description":"Query one known table with precise filtering, sorting, and field selection.\n\nUse this when you already know the target table (from list_tables) and want\nexact control — e.g. \"the 10 most expensive Rolex watches sold since 2020\"\nbecomes table=\"watches\", filters on `designer`/`sale_date`, sort by\n`usd_price_decimal` desc, limit 10. If you don't know which table holds the\nitem, use `search` (whole-market) instead; for aggregate figures (median,\npercentiles) use `market_stats`.\n\nArgs:\n    table: Table alias (call list_tables for the full set). \"gems\" = loose\n           stones (use for gemstone valuations); \"jewelry\" = finished pieces.\n    fields: List of column names to return (e.g., [\"item_title\", \"vendor\", \"usd_price_decimal\"]).\n            If not specified, returns all columns.\n    filters: List of filter conditions. Each filter is a dict with:\n             - \"field\": column name\n             - \"op\": operator — one of \"eq\", \"neq\", \"gt\", \"gte\", \"lt\", \"lte\",\n               \"like\", \"in\", \"not_in\", \"is_null\", \"is_not_null\"\n             - \"value\": the value to compare against\n             Example: [{\"field\": \"vendor\", \"op\": \"eq\", \"value\": \"Phillips\"},\n                       {\"field\": \"usd_price_decimal\", \"op\": \"gte\", \"value\": 50000}]\n    sort_field: Column name to sort by (e.g., \"usd_price_decimal\" or \"sale_date\")\n    sort_direction: \"asc\" or \"desc\" (default: \"desc\")\n    limit: Maximum rows to return (default: 20, max: 500)\n    offset: Number of rows to skip for pagination (default: 0)","inputs":[{"name":"fields","type":null,"required":false,"description":null},{"name":"filters","type":null,"required":false,"description":null},{"name":"limit","type":"integer","required":false,"description":null},{"name":"offset","type":"integer","required":false,"description":null},{"name":"sort_direction","type":null,"required":false,"description":null},{"name":"sort_field","type":null,"required":false,"description":null},{"name":"table","type":"string","required":true,"description":null}],"outputs":[{"name":"result","type":"string","required":true,"description":null}],"hasOutputSchema":true,"hasExamples":false,"tokenEstimate":442},{"name":"market_stats","title":null,"description":"Summarize the realized-price market for a table or a filtered segment.\n\nReturns count of sales, median, 25th/75th percentiles, average, min/max of\n`usd_price_decimal`, the sale-date span, and the top vendors by volume — all\ncomputed server-side over the full matching set (not a sample).\n\nArgs:\n    table: Table alias (call list_tables first). \"gems\" = LOOSE, unmounted\n           stones (use for a gemstone-market read); \"jewelry\" = FINISHED,\n           mounted pieces. A loose-stone question can span both.\n    filters: Optional list of filter dicts, same shape as query_table\n             (field/op/value). Narrow to a segment, e.g.\n             [{\"field\": \"designer\", \"op\": \"eq\", \"value\": \"Patek Philippe\"}].\n    sold_only: When true (default), restricts to sold lots with a positive\n               USD price so the stats reflect realized transactions.","inputs":[{"name":"filters","type":null,"required":false,"description":null},{"name":"sold_only","type":"boolean","required":false,"description":null},{"name":"table","type":"string","required":true,"description":null}],"outputs":[{"name":"result","type":"string","required":true,"description":null}],"hasOutputSchema":true,"hasExamples":false,"tokenEstimate":233},{"name":"price_trend","title":null,"description":"Show how realized prices moved over time for a table or filtered segment.\n\nBuckets sold lots by sale period and reports, per period, the number of\nsales, the median, and the average `usd_price_decimal`.\n\nArgs:\n    table: Table alias (call list_tables first). Gems = loose stones;\n           jewelry = mounted pieces.\n    filters: Optional filter dicts (field/op/value), same shape as query_table.\n    by: Time bucket — \"year\" (default), \"quarter\", or \"month\".\n    sold_only: Restrict to sold lots with a positive USD price (default true).","inputs":[{"name":"by","type":"string","required":false,"description":null},{"name":"filters","type":null,"required":false,"description":null},{"name":"sold_only","type":"boolean","required":false,"description":null},{"name":"table","type":"string","required":true,"description":null}],"outputs":[{"name":"result","type":"string","required":true,"description":null}],"hasOutputSchema":true,"hasExamples":false,"tokenEstimate":158},{"name":"price_check","title":null,"description":"Estimate a single item's fair-value range from comparable auction sales.\n\nGive either a free-text description (e.g. \"Hermès Birkin 25 Togo, gold\nhardware\") OR a lot URL from an auction house. Returns a realized-price range\n(low / median / high), a confidence read, and comparable sales with source\nlinks. Best for valuing ONE specific piece; for a whole-market read use\nmarket_stats.\n\nLive comp categories are handbags, watches, and cars. Loose gemstones and\njewelry are intentionally held from comp-matching (under-specified colored\nstones give unreliable medians) — for those, use market_stats on `gems`\n(loose stones) or `jewelry` (mounted pieces) instead.\n\nArgs:\n    description: Free-text item description.\n    lot_url: A lot URL from an auction house (alternative to description).\n    category: One of \"handbags\", \"watches\", \"cars\". Inferred from the text\n              if omitted.","inputs":[{"name":"category","type":null,"required":false,"description":null},{"name":"description","type":null,"required":false,"description":null},{"name":"lot_url","type":null,"required":false,"description":null}],"outputs":[{"name":"result","type":"string","required":true,"description":null}],"hasOutputSchema":true,"hasExamples":false,"tokenEstimate":228},{"name":"search","title":null,"description":"Whole-market keyword search across every ALT/FNDATA category at once.\n\nRuns a server-side free-text search (the same engine behind the ALT/FNDATA\nSearch app): your `query` is split into tokens, each matched across\nitem_title, designer, vendor, gem_type, primary_gem, origin, color, model\nand sale_title with synonym expansion (e.g. ruby↔rubis, jade↔jadeite). With\nno `category` it fans out across the whole market and merges the top realized\nsales by USD price — so you don't have to guess which table holds an item.\n\nArgs:\n    query: Free-text keywords, e.g. \"ruby ring\", \"Daytona 116500\", \"Birkin 25\".\n    category: Optional hint to narrow the search — a table alias\n              (e.g. \"watches\") or a plain word (\"cars\", \"gemstone\"). A\n              gemstone/stone hint searches BOTH gems (loose) and jewelry\n              (mounted); omit it to search everything.\n    filters: Optional extra filter dicts (same field/op/value shape as\n             query_table), AND-ed with the keyword match — e.g.\n             [{\"field\": \"usd_price_decimal\", \"op\": \"gte\", \"value\": 50000}].\n    limit: Max merged results to return (default 25, max 100).","inputs":[{"name":"category","type":null,"required":false,"description":null},{"name":"filters","type":null,"required":false,"description":null},{"name":"limit","type":"integer","required":false,"description":null},{"name":"query","type":"string","required":true,"description":null}],"outputs":[{"name":"result","type":"string","required":true,"description":null}],"hasOutputSchema":true,"hasExamples":false,"tokenEstimate":317},{"name":"market_index","title":null,"description":"Precomputed model-level price index (headline figures) for a model or brand.\n\nReads the ALT/FNDATA Index's precomputed hot-stats — instant, no scan. Give a\ntyped model `query` (e.g. \"Hermès Birkin 25\", \"Rolex Daytona 116500\") for a\nsingle model's realized-price band (low / 25th / median / 75th / high), sample\nsize, and recent trend; or give a `brand` alone for that brand's whole set of\nmodel indices. Covered categories are handbags, watches, and cars. For other\ncategories, use market_stats (whole-market read) or price_trend instead — this\ntool never invents a figure that isn't precomputed.\n\nArgs:\n    query: A specific model to look up (brand + model + optional size/material).\n    brand: A brand to list all model indices for (alternative to query).\n    category: One of \"handbags\", \"watches\", \"cars\". Inferred from the text\n              when omitted.","inputs":[{"name":"brand","type":null,"required":false,"description":null},{"name":"category","type":null,"required":false,"description":null},{"name":"query","type":null,"required":false,"description":null}],"outputs":[{"name":"result","type":"string","required":true,"description":null}],"hasOutputSchema":true,"hasExamples":false,"tokenEstimate":240},{"name":"list_alerts","title":null,"description":"Show ALT/FNDATA price alerts (read-only) or explain how to set them up.\n\nPrice alerts watch a saved item and fire when a matching lot sells at or below\nyour target. They belong to a signed-in ALT/FNDATA account, not to an API key —\nso alerts are created and managed in the app (app.altfndata.com), and this MCP\ncan only read/report them. If your key isn't tied to a signed-in session, this\nreturns guidance on enabling alerts (allowance: free 0 · registered 1 ·\ncollector 10 · pro 100 · included with Membership) rather than a data feed.\n\nArgs:\n    limit: Max fired alerts to show if the alerts feed is reachable (default 25).","inputs":[{"name":"limit","type":"integer","required":false,"description":null}],"outputs":[{"name":"result","type":"string","required":true,"description":null}],"hasOutputSchema":true,"hasExamples":false,"tokenEstimate":169}],"toolsTruncatedAtCapture":false,"diagnostics":{"capturedAt":"2026-11-05T04:03:42.000Z","track":"package","endpoint":null,"declaredUrl":null,"truncated":false,"tls":null,"dnssec":null,"auth":null,"httpsRedirect":null,"transports":[],"provenance":{"outcome":"none","label":"No attestation","reason":"no_attestation","reasonLabel":"No attestation published","discovery":null,"discoveryLabel":null,"sourceRepo":null,"attestationSkipped":null,"attestationSkippedLabel":null},"installScripts":[{"hook":"build_backend","tier":"allowlisted"}],"installScriptsTotal":null,"vulnerabilities":[],"vulnerabilitiesTotal":null,"dependencies":{"nodes":28,"partial":false,"deprecated":null,"stale":null,"noRepo":null}},"mismatches":[],"changelog":{"trackingSince":"2026-10-25","recent":[{"id":"chg_01a1a9e0-78bc-7df0-9ed3-16640ebddfa6","kind":"score.total_changed","summary":"Trust score (70 → 71)","materiality":"functional","direction":"improvement","scoreDelta":1,"occurredOn":"2026-11-05","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1a9e0-78bc-7df0-9ed3-16640ebddfa6"},{"id":"chg_01a19f91-b670-775c-b032-364460c53b7c","kind":"score.total_changed","summary":"Trust score (69 → 70)","materiality":"functional","direction":"improvement","scoreDelta":1,"occurredOn":"2026-11-03","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a19f91-b670-775c-b032-364460c53b7c"},{"id":"chg_01a19545-392f-745f-9822-108bd9730bb6","kind":"score.total_changed","summary":"Trust score (68 → 69)","materiality":"functional","direction":"improvement","scoreDelta":1,"occurredOn":"2026-11-01","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a19545-392f-745f-9822-108bd9730bb6"},{"id":"chg_01a18af8-390d-7913-9ac6-3a06b2f8066c","kind":"score.total_changed","summary":"Trust score (67 → 68)","materiality":"functional","direction":"improvement","scoreDelta":1,"occurredOn":"2026-10-30","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a18af8-390d-7913-9ac6-3a06b2f8066c"},{"id":"chg_01a17b84-f271-775f-84f0-9f79f5c68a58","kind":"score.total_changed","summary":"Trust score (66 → 67)","materiality":"functional","direction":"improvement","scoreDelta":1,"occurredOn":"2026-10-27","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a17b84-f271-775f-84f0-9f79f5c68a58"},{"id":"chg_01a1765e-90fa-72a5-8d15-f643c4652ae3","kind":"check.reverified","summary":"Stability (unverified → 0.03)","materiality":"functional","direction":"improvement","scoreDelta":null,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90fa-72a5-8d15-f643c4652ae3"},{"id":"chg_01a1765e-90fa-7eb5-8d4d-17b28cdf963a","kind":"check.appeared","summary":"First check of Schema quality (fail)","materiality":"functional","direction":"neutral","scoreDelta":null,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90fa-7eb5-8d4d-17b28cdf963a"},{"id":"chg_01a1765e-90fb-7488-8e62-a28f78e36a46","kind":"check.appeared","summary":"First check of Schema quality (excellent)","materiality":"functional","direction":"neutral","scoreDelta":null,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90fb-7488-8e62-a28f78e36a46"},{"id":"chg_01a1765e-90fb-7a32-8c3f-137b90ccb511","kind":"check.appeared","summary":"First check of Destructive annotations (pass)","materiality":"functional","direction":"neutral","scoreDelta":null,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90fb-7a32-8c3f-137b90ccb511"},{"id":"chg_01a1765e-90fc-710e-9d61-8ce69a32df90","kind":"check.appeared","summary":"First check of Schema quality (fail)","materiality":"functional","direction":"neutral","scoreDelta":null,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90fc-710e-9d61-8ce69a32df90"},{"id":"chg_01a1765e-90fc-780e-b851-143b1a4c2449","kind":"check.appeared","summary":"First check of Tool coverage (100)","materiality":"functional","direction":"neutral","scoreDelta":null,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90fc-780e-b851-143b1a4c2449"},{"id":"chg_01a1765e-90fd-7165-8038-da09f3031eac","kind":"score.total_changed","summary":"Trust score (39 → 66)","materiality":"functional","direction":"improvement","scoreDelta":27,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90fd-7165-8038-da09f3031eac"},{"id":"chg_01a1765e-90fa-78b9-b2bf-e97b717482e3","kind":"check.appeared","summary":"First check of Tool coverage (0)","materiality":"functional","direction":"neutral","scoreDelta":null,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90fa-78b9-b2bf-e97b717482e3"},{"id":"chg_01a1765e-90f7-7c78-bfdb-36d32a775329","kind":"check.reverified","summary":"Injection markers (unverified → pass)","materiality":"security","direction":"improvement","scoreDelta":null,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90f7-7c78-bfdb-36d32a775329"},{"id":"chg_01a1765e-90f9-7031-b982-80503d86e687","kind":"check.appeared","summary":"First check of Judged manipulation (pass)","materiality":"security","direction":"neutral","scoreDelta":null,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90f9-7031-b982-80503d86e687"},{"id":"chg_01a1765e-90f9-7664-a9f5-2529dd8db0e0","kind":"check.reverified","summary":"Tool coverage (unverified → 100)","materiality":"functional","direction":"improvement","scoreDelta":null,"occurredOn":"2026-10-26","url":"https://verifymcp.io/servers/com-altfndata-altfinance-mcp/altfinance-mcp#chg-chg_01a1765e-90f9-7664-a9f5-2529dd8db0e0"},{"id":"chg_01a1765e-90f9-7ca8-8e99-86454d1d88dc","kind":"check.reverified","summary":"MCP protocol (unverified → 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