Drillr — The financial MCP for AI agents

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                "description": "Use to discover which SEC filings exist for a ticker before searching content.\nFor the actual content use sec_report_search instead.\n\nList indexed SEC filings for a given ticker with a summary header.\n\nReturns: summary (period coverage, per-type counts) + table of up to 50 filings\n(fiscal_year, fiscal_quarter, filing_type, filing_date, period_start, period_end).\n\nfiling_types filter: omit for main reports only (US 10-K/10-Q/20-F/S-1/DEF 14A\n+ /A amendments; JP 120/140/160; HK/A-share annual_report / quarterly_report /\nq1_report; excludes ad-hoc 8-K/6-K); pass [] for all indexed types; pass explicit\nallowlist to override.",
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                      "description": "Filter by filing type. Omit for default (periodic reports + IPO/shelf registrations + amendments; excludes ad-hoc disclosures). Pass [] for all indexed types. Pass an explicit allowlist to override \u2014 use values from the `filing_type` column of a prior unfiltered call.",
                      "items": {
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                      "type": "array"
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                      "description": "Stock ticker, e.g. NVDA, 6758.T, 00700.HK, 600519.SH",
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                "annotations": {
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                  "openWorldHint": false,
                  "readOnlyHint": true
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                "description": "Use when you need narrative content from company filings \u2014 risk factors, MD&A, guidance language, deal terms, accounting policies, share structure. For consolidated financial numbers use run_sql on financial_statements instead.\n\nSemantic search over the full text of company-filed reports; returns matching passages.\n\nCoverage: US + Japan + Hong Kong + China A-shares. US = SEC EDGAR (including foreign issuers' 20-F/6-K). Japan = EDINET, `.T` ticker (6758.T). Hong Kong = HKEX filings, 5-digit `.HK` ticker (00700.HK). A-shares = `.SH`/`.SZ` (600519.SH, 300750.SZ).\n\nParameters:\n- query (required): natural-language search; phrase it as the concept or section name you want, e.g. \"share repurchase authorization\", \"Risk Factors\". Run a few phrasings rather than one broad query.\n- ticker (required): US bare (NVDA), Japan `.T`, HK `.HK`, A-share `.SH`/`.SZ`, ADRs as their US symbol (SONY).\n- filing_types (optional): US = SEC form names (10-K, 10-Q, 8-K, 20-F, 6-K, DEF 14A, S-1/F-1, + amendments). Japan = EDINET NUMERIC codes: 120 (annual), 140 (quarterly), 160 (semi-annual). HK/A-share = plain names \u2014 annual_report; A-share quarters per-quarter (q1_report, ...); HK quarterly results all quarterly_report. OMIT to search all types.\n- period_start / period_end (optional): yyyy-mm window; omit to search all history.\n- top_k (optional): max passages to return (default 10).\n\nScope: indexes ONLY company-filed reports \u2014 NOT institutional filings (13F-HR/13D/13G; for those use insider_and_institution_activities with source='institution').\n\nSection targets: non-GAAP reconciliations \u2192 earnings 8-K (Ex 99.1); dilution / SBC / buyback \u2192 \"Shareholders' Equity\"; segment breakdown \u2192 \"Segment Information\"; guidance \u2192 \"Outlook\" in MD&A; exec comp \u2192 DEF 14A.",
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                    "period_end": {
                      "description": "End period YYYY-MM",
                      "type": "string"
                    },
                    "period_start": {
                      "description": "Start period YYYY-MM",
                      "type": "string"
                    },
                    "query": {
                      "description": "Search query",
                      "type": "string"
                    },
                    "ticker": {
                      "description": "Stock ticker, e.g. NVDA, 6758.T, 00700.HK, 600519.SH",
                      "type": "string"
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                      "maximum": 30,
                      "minimum": 1,
                      "type": "integer"
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                "annotations": {
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                "description": "Use for qualitative company discovery (industry, business model, supply chain, competitors, management background). For numerical screening (revenue, margins, ratios, growth rates) use run_sql on company_snapshot instead.\n\nDrillr's company knowledge base \u2014 searchable across industry classification, product offerings, business model, segment structure, competitive landscape, supply chain, management background, and customer profile.\n\nCoverage: US, Japan, Hong Kong, and China A-shares. `market` accepts one lowercase value or a list from `us | jp | hk | cn`; omit it or pass `[]` for all four. List order does not set priority.\n\nPass a natural-language description (for example, \"Hong Kong and China EV battery suppliers\"). Returns a structured list of matching companies with context snippets.\n\nONLY for finding a LIST of companies by description.",
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                            "jp",
                            "hk",
                            "cn"
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                          "type": "string"
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                        {
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                            "$ref": "#/properties/market/anyOf/0"
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                          "maxItems": 4,
                          "type": "array"
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                      ],
                      "description": "Optional market filter. Pass one lowercase value or a list from 'us' | 'jp' | 'hk' | 'cn'. Omit or pass [] for all four; list order does not set priority."
                    },
                    "query": {
                      "description": "Natural-language company description",
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                "description": "Resolve a company name, brand, or ticker substring to canonical ticker(s). Use this FIRST when the user mentions a company by name/brand/nickname before running any ticker-keyed tool.\n\nInput:\n- query (required): company name, brand, or ticker substring, e.g. \"Apple\", \"\u82f9\u679c\", \"AAPL\", \"OpenAI\"\n- market (optional): \"us\" | \"jp\" | \"hk\" | \"cn\" \u2014 omit to search all markets\n\nReturns up to 5 matches ranked by prefix-hit first, then name length. Returned\nsymbols carry their market suffix: US bare (AAPL), Japan `.T`, Hong Kong 5-digit\n`.HK` (00700.HK), A-share `.SH`/`.SZ` (600519.SH).",
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                      "enum": [
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                        "jp",
                        "hk",
                        "cn"
                      ],
                      "type": "string"
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                    "query": {
                      "description": "Company name or ticker substring (case-insensitive). Matches historical names + tickers too.",
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                      "type": "string"
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                "description": "PostgreSQL SELECT over financial / market / alt-data tables \u2014 returns structured rows.\n\nHard rules (query fails otherwise):\n- SELECT only, no CTE (`WITH ... AS`) \u2014 use subqueries.\n- Period columns are TEXT, not dates \u2014 `period_end` is 'YYYY-MM'. Compare as strings (`period_end >= '2024-01'`); a `::date` cast on it fails.\n- Filter structured tables by ticker (`WHERE ticker IN ('AAPL','MSFT')`; screening: add `ticker NOT LIKE '%-%'` to drop preferred stock).\n\nCore equity coverage: US, Japan, Hong Kong, and China A-shares. Tickers are US bare (AAPL), Japan `.T` (6758.T), Hong Kong `.HK` (00700.HK), and A-shares `.SH`/`.SZ` (600519.SH, 300750.SZ). financial_statements, company_snapshot, and price_volume_history span all four. Specialized tables vary \u2014 call get_table_schema before treating an empty result as a finding.\n\nTables by domain (call get_table_schema for detail):\n- Market: price_volume_history (OHLCV history; MUST filter ticker + time_frame), index_price, equity_extended_rt (pre/after/overnight quotes)\n- Fundamentals: financial_statements (GAAP income/balance/cashflow), company_snapshot (ratios, per-share, growth)\n- Earnings: earning_call_summary, earning_call_calendar\n- Analyst: analyst_ratings, analyst_ratings_consensus\n- Ownership: insider_and_institution_activities\n- 8-K events: executive_change, company_deal_events, debt_issuance, securities_offering\n- Executives: executive_profile, executive_compensation\n- Alt-data: macro / industry / trade / AI-supply-chain \u2014 call list_tables(categories=[...])",
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                "description": "Use BEFORE run_sql when you're unsure which columns a table has.\n\nLook up column definitions (name, type, description) for a data table.",
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                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "table_name": {
                      "enum": [
                        "financial_statements",
                        "company_snapshot",
                        "price_volume_history",
                        "earning_call_summary",
                        "insider_and_institution_activities",
                        "index_price",
                        "equity_extended_rt",
                        "analyst_ratings",
                        "analyst_ratings_consensus",
                        "earning_call_calendar",
                        "executive_profile",
                        "executive_compensation",
                        "executive_change",
                        "company_deal_events",
                        "debt_issuance",
                        "securities_offering",
                        "eia_generators",
                        "eia_retail_prices",
                        "eia_regional_hourly",
                        "epochai_data_centers",
                        "epochai_data_center_timelines",
                        "epochai_gpu_clusters",
                        "epochai_dc_cooling_towers",
                        "epochai_dc_chillers",
                        "epochai_chip_types",
                        "epochai_ml_hardware",
                        "epochai_chip_organizations",
                        "epochai_chip_sales_cumulative",
                        "epochai_chip_sales_by_chip",
                        "epochai_chip_sales_by_designer",
                        "epochai_chip_owners_cumulative_by_chip",
                        "epochai_chip_owners_cumulative_by_designer",
                        "epochai_chip_owners_quarters_by_chip",
                        "tsmc_revenue",
                        "twcustoms_trade",
                        "computeprices_gpus_dim",
                        "computeprices_gpu_offer_daily",
                        "computeprices_gpu_offers",
                        "computeprices_providers_dim",
                        "skypilot_ondemand_price",
                        "skypilot_spot_price",
                        "skypilot_instance_dim",
                        "epochai_models",
                        "epochai_benchmark_scores",
                        "epochai_benchmark_runs",
                        "epochai_ai_companies",
                        "epochai_ai_companies_revenue_reports",
                        "epochai_ai_companies_usage_reports",
                        "epochai_ai_companies_staff_reports",
                        "epochai_ai_companies_funding_rounds",
                        "epochai_ai_companies_compute_spend",
                        "epochai_polling",
                        "arena_leaderboard",
                        "litellm_price_history",
                        "litellm_models_dim",
                        "computeprices_llm_prices",
                        "computeprices_llm_price_daily",
                        "computeprices_llms_dim",
                        "comtrade_country",
                        "comtrade_hs_code",
                        "census_import_export",
                        "fred_series",
                        "fred_observations",
                        "fred_macro_daily",
                        "polymarket_events",
                        "polymarket_markets",
                        "polymarket_outcomes",
                        "polymarket_trades",
                        "polymarket_daily",
                        "polymarket_volume_daily",
                        "polymarket_holders_daily",
                        "kalshi_events",
                        "kalshi_markets",
                        "kalshi_trades",
                        "kalshi_daily",
                        "kalshi_volume_daily",
                        "mineral_deposit",
                        "mineral_deposit_commodity",
                        "mineral_deposit_operator",
                        "mineral_country_supply",
                        "mineral_critical_snapshot",
                        "fiscal_year_config"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "table_name"
                  ],
                  "type": "object"
                },
                "name": "get_table_schema"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Use to convert between fiscal year/quarter and calendar months for a ticker before filtering period_end columns.\n\nCoverage warning: fiscal-year configuration is primarily US, with sparse JP/HK entries and no China A-share coverage in the verified dataset. Do not assume this tool supports a ticker merely because the core equity tables do.\n\nForward: ticker + fiscal_year + fiscal_quarter \u2192 period_start/period_end. Reverse: ticker + yyyy_mm \u2192 fiscal_year/fiscal_quarter.",
                "execution": {
                  "taskSupport": "forbidden"
                },
                "inputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "fiscal_quarter": {
                      "description": "Quarter 1-4, or 0 for full fiscal year (required for forward conversion)",
                      "maximum": 4,
                      "minimum": 0,
                      "type": "integer"
                    },
                    "fiscal_year": {
                      "description": "Fiscal year (required for forward conversion)",
                      "type": "integer"
                    },
                    "ticker": {
                      "description": "Stock ticker. Coverage is primarily US; sparse JP/HK; no China A-share configuration.",
                      "type": "string"
                    },
                    "yyyy_mm": {
                      "description": "Calendar month yyyy-mm (required for reverse conversion)",
                      "pattern": "^\\d{4}-\\d{2}$",
                      "type": "string"
                    }
                  },
                  "required": [
                    "ticker"
                  ],
                  "type": "object"
                },
                "name": "fiscal_utility"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "List alternative-data tables under the given categories. Returns each table's name,\none-line purpose, and column names (call get_table_schema if you need column\ntypes/comments). Batch up to 5 categories in one call; omit categories, or pass [\"all\"], to\nget the category index instead.\n\nUse this BEFORE run_sql when you want to explore alt-data \u2014 run_sql alone won't\ntell you which tables exist.\n\nAvailable categories:\n- Energy & Power \u2014 US power plants, electricity prices, regional hourly generation/demand\n- Data Centers \u2014 facilities, GPU clusters, cooling\n- Semiconductors \u2014 AI chip specs, sales, ownership, foundry revenue, customs trade\n- Compute Pricing \u2014 GPU rental, cloud VM spot/on-demand, instance specs\n- Model Development \u2014 model specs, benchmarks, AI companies, AI polling, LLM arena\n- Inference Economics \u2014 LLM API pricing across providers\n- Macro & Trade \u2014 UN Comtrade, US Census trade flows, FRED macro series\n- Prediction Markets \u2014 Polymarket and Kalshi events, markets, trades, daily aggregates\n- Critical Minerals \u2014 USGS mineral deposits, country supply, critical materials",
                "execution": {
                  "taskSupport": "forbidden"
                },
                "inputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "categories": {
                      "description": "Altdata category names (see tool description for the list). Omit, or pass \"all\", for the category index.",
                      "items": {
                        "enum": [
                          "Energy & Power",
                          "Data Centers",
                          "Semiconductors",
                          "Compute Pricing",
                          "Model Development",
                          "Inference Economics",
                          "Macro & Trade",
                          "Prediction Markets",
                          "Critical Minerals",
                          "all"
                        ],
                        "type": "string"
                      },
                      "maxItems": 5,
                      "type": "array"
                    }
                  },
                  "type": "object"
                },
                "name": "list_tables"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Use for any news, event, development, or statement question about a company,\ntheme, or the market.\n\nCovers US, Japan, Hong Kong and A-share markets; The `ticker` filter takes\nexchange-suffixed symbols: US bare (AAPL), Japan `.T` (7203.T), Hong Kong\n`.HK` (00700.HK), A-share `.SH`/`.SZ` (600519.SH). \n\nReturns Markdown: a `## Stories` numbered list (each storyline once), then flat\n`## Events` and `## Claims` tables (claims = attributed statements: analyst\nactions, corporate guidance, central-bank remarks). The Events `story` column\nrefers back to the Stories number. `sources` counts corroborating reports;\n`first_reported`/`last_reported` give the reporting span. Lowest-ranked stories\nare dropped to fit length; the meta line flags how many were omitted.\n\nAt least one of query/theme/ticker/since/until is required. Per-parameter detail\nis on the input schema \u2014 search_type=claims needs query/ticker/a time window,\nnot theme.",
                "execution": {
                  "taskSupport": "forbidden"
                },
                "inputSchema": {
                  "$schema": "http://json-schema.org/draft-07/schema#",
                  "additionalProperties": false,
                  "properties": {
                    "order_by": {
                      "description": "Result ordering. relevance (default) | event_time (newest event time first) | create_time (most recently ingested first).",
                      "enum": [
                        "relevance",
                        "event_time",
                        "create_time"
                      ],
                      "type": "string"
                    },
                    "query": {
                      "description": "Semantic query (English). One of query/theme/ticker/since/until required.",
                      "type": "string"
                    },
                    "search_type": {
                      "description": "all (default) | events | claims (opinions/statements only).",
                      "enum": [
                        "all",
                        "events",
                        "claims"
                      ],
                      "type": "string"
                    },
                    "since": {
                      "description": "ISO8601; filter time_event >= since.",
                      "type": "string"
                    },
                    "theme": {
                      "description": "Theme word, resolved to the nearest canonical theme. Not valid with search_type=claims.",
                      "type": "string"
                    },
                    "ticker": {
                      "anyOf": [
                        {
                          "type": "string"
                        },
                        {
                          "items": {
                            "type": "string"
                          },
                          "type": "array"
                        }
                      ],
                      "description": "Exact ticker symbol(s) \u2014 a single symbol, an array, or a comma-separated string; multiple tickers are an OR/overlap filter. US symbols bare (AAPL); other markets carry their exchange suffix \u2014 7203.T, 00700.HK, 600519.SH. Company names/brands are NOT resolved here; resolve a name via ticker_lookup/company_search first."
                    },
                    "top_k": {
                      "description": "Story count. Default 10, max 50.",
                      "maximum": 50,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "until": {
                      "description": "ISO8601; filter time_event < until.",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "news_search"
              }
            ]
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      "status": "ok"
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        "transport": "streamable-http"
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      "details": {
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          "tools"
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        "pagination": {
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        "tasks": {
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          "http_status": 401,
          "probe_status": "auth_required"
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      "status": "ok"
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  "failures": {
    "openid_configuration": {
      "error": "Client error '404 Not Found' for url 'https://gateway.drillr.ai/.well-known/openid-configuration'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
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    "schema_divergence_probe": {
      "auth_scheme_mismatch": true,
      "card_auth_schemes": [
        "api_key"
      ],
      "card_server_name": "drillr-agentic",
      "card_server_version": "1.0.0",
      "compared_dimensions": [
        "server_name",
        "server_version",
        "declared_vs_observed_auth",
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      "server_name_mismatch": true,
      "server_version_mismatch": false,
      "severity": "critical",
      "tool_divergences": [],
      "tools_missing_from_card": [
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  "server_card_payload": {
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      ]
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    "serverInfo": {
      "name": "drillr-agentic",
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    "tools": [
      {
        "description": "Ask natural-language questions about companies, tickers, sectors, SEC filings, earnings, and alternative data. Runs Drillr's research agent server-side and returns a synthesized answer with source attribution. Pass session_id to continue a prior research thread (~3\u00d7 faster on follow-ups via cache reuse) and context to inject background as ground truth.",
        "name": "search"
      }
    ]
  },
  "server_identifier": "ai.drillr/drillr"
}