← The evidence ledger
Evidence row 1054081
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 9b728676-df89-4a2b-9b9b-f4d9d4f6eed7
- Recorded
- Previous row
- #556539
- Body SHA-256
- 7b8cf4ed9879375609330bf18a5641563afc31ab13e36a6db844e4dd0e3643d6
- Leaf
- 0x7096936b11fb4b5e4ac57b7aae9e35b86b162fec7cf346a36309973bdc2376fc
What was observed
{
"count": 25,
"tools": [
{
"description": "[Personal research only] One-call stock brief. `filed` holds fundamentals from SEC filings (TTM revenue and growth, gross and\noperating margin, net income, free cash flow, net debt; for banks net revenue, net interest income,\nefficiency ratio, PPNR, provisions, loans, deposits, ROE, ROTCE and tangible book; for broker-dealers\nefficiency ratio, pretax margin, compensation ratio and ROE; for insurers total revenues, premiums earned,\nnet investment income, benefits and losses, a simple combined ratio for P&C insurers, ROE, and book value\nper share with and without AOCI), each filing cited by accession in\nsources.edgar (https://www.sec.gov/Archives/edgar/data/{cik}/{accession without dashes}/). A balance\ninput the newest filing omits comes from the latest filing within 15 months, dated in inputs_as_of.\n`market` holds delayed price, 52-week range, 50/200-day averages and RSI(14); `derived` holds market\ncap, P/E (on filed diluted EPS LTM), P/B and P/TBV (insurers: P/B and P/B ex-AOCI), each with its inputs. A figure that couldn't be\ncomputed is in gaps with its reason; lines that don't apply to the company's layout are left out (layout_note). Up to 4 descriptive\nobservations, including any quarter whose tax rate or non-operating income moves net income. News\nsentiment on Pro. Start here for \"tell me about X\".\n\nPersonal research only: on every plan, this tool's output is for your own personal, non-commercial research. Do not use it in a commercial product, client deliverable or service.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"symbol": {
"description": "Stock ticker, e.g. 'AAPL'",
"type": "string"
}
},
"required": [
"symbol"
],
"type": "object"
},
"name": "analyze_stock"
},
{
"description": "[Personal research only] Side-by-side comparison of 2-6 stocks as one table: TTM revenue and growth, pretax margin, net income\ngrowth and diluted EPS growth from SEC filings (each row's window ends on its ttm_to), net debt for\nstandard layouts, delayed price, day change, distance from the 52-week high and trend, market cap, and\nP/E on filed diluted EPS LTM (FY + YTD - prior YTD). `order` lists each filed figure highest first, P/E\nlowest first. `comparability` says what revenue means per layout; cell_notes say what moves a figure.\nFilings are cited by accession in sources.edgar: open\nhttps://www.sec.gov/Archives/edgar/data/{cik}/{accession without dashes}/.\n\nPersonal research only: on every plan, this tool's output is for your own personal, non-commercial research. Do not use it in a commercial product, client deliverable or service.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"symbols": {
"description": "2 to 6 tickers, e.g. ['NVDA', 'AMD']",
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"symbols"
],
"type": "object"
},
"name": "compare_stocks"
},
{
"description": "[Personal research only] Fetch annual and quarterly balance sheet data including assets, liabilities, shareholders' equity, and other financial position metrics.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly bala…",
"type": "string"
}
},
"required": [
"symbol"
],
"type": "object"
},
"name": "fetch_balance_sheet"
},
{
"description": "[Personal research only] Fetch Bollinger Bands technical indicator time series with upper band, lower band, and middle line (SMA).",
"inputSchema": {
"additionalProperties": false,
"properties": {
"datatype": {
"default": "json",
"description": "Response data type.",
"type": "string"
},
"end_date": {
"default": null,
"description": "Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31').",
"type": "string"
},
"interval": {
"description": "Time interval for data points.",
"type": "string"
},
"max_data_points": {
"default": 100,
"description": "Maximum number of time series data points to return.",
"type": "integer"
},
"nbdevdn": {
"default": 2,
"description": "Number of standard deviations for lower band (typically 2)",
"type": "integer"
},
"nbdevup": {
"default": 2,
"description": "Number of standard deviations for upper band (typically 2)",
"type": "integer"
},
"series_type": {
"default": "close",
"description": "Price data to use for calculation.",
"type": "string"
},
"start_date": {
"default": null,
"description": "Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01').",
"type": "string"
},
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate Bollinger Bands",
"type": "string"
},
"time_period": {
"default": 20,
"description": "Number of periods for moving average calculation (typically 20)",
"type": "integer"
}
},
"required": [
"symbol",
"interval"
],
"type": "object"
},
"name": "fetch_bbands"
},
{
"description": "[Personal research only] Fetch annual and quarterly cash flow statement data including operating, investing, and financing cash flows.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly cash…",
"type": "string"
}
},
"required": [
"symbol"
],
"type": "object"
},
"name": "fetch_cash_flow"
},
{
"description": "[Personal research only] Fetch comprehensive company overview including business description, financial ratios, market capitalization, dividend information, and key financial metrics.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve comprehensive company over…",
"type": "string"
}
},
"required": [
"symbol"
],
"type": "object"
},
"name": "fetch_company_overview"
},
{
"description": "[Personal research only] Fetch annual and quarterly earnings data including EPS (earnings per share) estimates vs actual results, surprise percentages, and earnings growth trends.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly earn…",
"type": "string"
}
},
"required": [
"symbol"
],
"type": "object"
},
"name": "fetch_earnings"
},
{
"description": "[Personal research only] Fetch Exponential Moving Average (EMA) technical indicator time series with greater weight on recent prices.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"datatype": {
"default": "json",
"description": "Response data type.",
"type": "string"
},
"end_date": {
"default": null,
"description": "Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31').",
"type": "string"
},
"interval": {
"description": "Time interval for data points.",
"type": "string"
},
"max_data_points": {
"default": 100,
"description": "Maximum number of time series data points to return.",
"type": "integer"
},
"series_type": {
"default": "close",
"description": "Price data to use for calculation.",
"type": "string"
},
"start_date": {
"default": null,
"description": "Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01').",
"type": "string"
},
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate Exponential Moving Average",
"type": "string"
},
"time_period": {
"description": "Number of data points to use for moving average calculation (e.g., 12 for 12-period EMA)",
"type": "integer"
}
},
"required": [
"symbol",
"interval",
"time_period"
],
"type": "object"
},
"name": "fetch_ema"
},
{
"description": "[Personal research only] Fetch real-time currency exchange rates between two currencies with bid/ask prices and conversion rates.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"from_currency": {
"description": "Source currency code (e.g., 'USD', 'EUR', 'GBP') to convert from",
"type": "string"
},
"to_currency": {
"description": "Target currency code (e.g., 'USD', 'EUR', 'JPY') to convert to",
"type": "string"
}
},
"required": [
"from_currency",
"to_currency"
],
"type": "object"
},
"name": "fetch_exchange_rate"
},
{
"description": "[Personal research only] Fetch annual and quarterly income statement data including revenue, expenses, net income, EPS, and other profit & loss metrics.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'GOOGL') for which to retrieve annual and quarterly inco…",
"type": "string"
}
},
"required": [
"symbol"
],
"type": "object"
},
"name": "fetch_income_statement"
},
{
"description": "[Personal research only] Fetch MACD (Moving Average Convergence Divergence) technical indicator time series with signal line and histogram.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"datatype": {
"default": "json",
"description": "Response data type.",
"type": "string"
},
"end_date": {
"default": null,
"description": "Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31').",
"type": "string"
},
"fastperiod": {
"default": 12,
"description": "Fast EMA period for MACD calculation (default: 12)",
"type": "integer"
},
"interval": {
"description": "Time interval for data points.",
"type": "string"
},
"max_data_points": {
"default": 100,
"description": "Maximum number of time series data points to return.",
"type": "integer"
},
"series_type": {
"default": "close",
"description": "Price data to use for calculation.",
"type": "string"
},
"signalperiod": {
"default": 9,
"description": "Signal line EMA period for MACD calculation (default: 9)",
"type": "integer"
},
"slowperiod": {
"default": 26,
"description": "Slow EMA period for MACD calculation (default: 26)",
"type": "integer"
},
"start_date": {
"default": null,
"description": "Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01').",
"type": "string"
},
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate MACD",
"type": "string"
}
},
"required": [
"symbol",
"interval"
],
"type": "object"
},
"name": "fetch_macd"
},
{
"description": "[Personal research only] Fetch news sentiment analysis data with sentiment scores, relevance scores, and article metadata.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"datatype": {
"default": "json",
"description": "Response data type.",
"type": "string"
},
"limit": {
"default": 50,
"description": "Maximum number of news articles to return (1-200).",
"type": "integer"
},
"sort": {
"default": "LATEST",
"description": "Sort order for results.",
"type": "string"
},
"tickers": {
"description": "Comma-separated list of ticker symbols to filter news articles.",
"type": "string"
},
"time_from": {
"default": null,
"description": "Start time for news articles in YYYYMMDDTHHMM format (e.g., '20240101T0000')",
"type": "string"
},
"time_to": {
"default": null,
"description": "End time for news articles in YYYYMMDDTHHMM format (e.g., '20240131T2359')",
"type": "string"
},
"topics": {
"default": null,
"description": "Optional news topics filter.",
"type": "string"
}
},
"required": [
"tickers"
],
"type": "object"
},
"name": "fetch_news_sentiment"
},
{
"description": "[Personal research only] Fetches the latest price and trading information for a stock ticker symbol.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to fetch the latest price and trading…",
"type": "string"
}
},
"required": [
"symbol"
],
"type": "object"
},
"name": "fetch_quote"
},
{
"description": "[Personal research only] Fetch RSI (Relative Strength Index) momentum oscillator time series ranging from 0 to 100.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"datatype": {
"default": "json",
"description": "Response data type.",
"type": "string"
},
"end_date": {
"default": null,
"description": "Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31').",
"type": "string"
},
"interval": {
"description": "Time interval for data points.",
"type": "string"
},
"max_data_points": {
"default": 100,
"description": "Maximum number of time series data points to return.",
"type": "integer"
},
"series_type": {
"default": "close",
"description": "Price data to use for calculation.",
"type": "string"
},
"start_date": {
"default": null,
"description": "Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01').",
"type": "string"
},
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate RSI",
"type": "string"
},
"time_period": {
"default": 14,
"description": "Number of periods for RSI calculation (typically 14)",
"type": "integer"
}
},
"required": [
"symbol",
"interval"
],
"type": "object"
},
"name": "fetch_rsi"
},
{
"description": "[Personal research only] Fetch Simple Moving Average (SMA) technical indicator time series with customizable time periods.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"datatype": {
"default": "json",
"description": "Response data type.",
"type": "string"
},
"end_date": {
"default": null,
"description": "Optional end date filter in YYYY-MM-DD format (e.g., '2024-12-31').",
"type": "string"
},
"interval": {
"description": "Time interval for data points.",
"type": "string"
},
"max_data_points": {
"default": 100,
"description": "Maximum number of time series data points to return.",
"type": "integer"
},
"series_type": {
"default": "close",
"description": "Price data to use for calculation.",
"type": "string"
},
"start_date": {
"default": null,
"description": "Optional start date filter in YYYY-MM-DD format (e.g., '2024-01-01').",
"type": "string"
},
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate Simple Moving Average",
"type": "string"
},
"time_period": {
"description": "Number of data points to use for moving average calculation (e.g., 20 for 20-day SMA)",
"type": "integer"
}
},
"required": [
"symbol",
"interval",
"time_period"
],
"type": "object"
},
"name": "fetch_sma"
},
{
"description": "[Personal research only] Fetch daily stock data with OHLCV (Open, High, Low, Close, Volume) information for each trading day.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"datatype": {
"default": "json",
"description": "Response data type.",
"type": "string"
},
"end_date": {
"default": null,
"description": "Optional end date filter in YYYY-MM-DD format (inclusive).",
"type": "string"
},
"max_data_points": {
"default": 100,
"description": "Maximum number of time series data points to return.",
"minimum": 1,
"type": "integer"
},
"outputsize": {
"default": "compact",
"description": "Data output size.",
"type": "string"
},
"start_date": {
"default": null,
"description": "Optional start date filter in YYYY-MM-DD format (inclusive).",
"type": "string"
},
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve daily data",
"type": "string"
}
},
"required": [
"symbol"
],
"type": "object"
},
"name": "fetch_time_series_daily"
},
{
"description": "[Personal research only] Fetch monthly stock data with OHLCV (Open, High, Low, Close, Volume) aggregated by month.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"datatype": {
"default": "json",
"description": "Response data type.",
"type": "string"
},
"end_date": {
"default": null,
"description": "Optional end date filter in YYYY-MM-DD format (inclusive).",
"type": "string"
},
"max_data_points": {
"default": 100,
"description": "Maximum number of time series data points to return.",
"minimum": 1,
"type": "integer"
},
"start_date": {
"default": null,
"description": "Optional start date filter in YYYY-MM-DD format (inclusive).",
"type": "string"
},
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve monthly data",
"type": "string"
}
},
"required": [
"symbol"
],
"type": "object"
},
"name": "fetch_time_series_monthly"
},
{
"description": "[Personal research only] Fetch weekly stock data with OHLCV (Open, High, Low, Close, Volume) aggregated by week.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"datatype": {
"default": "json",
"description": "Response data type.",
"type": "string"
},
"end_date": {
"default": null,
"description": "Optional end date filter in YYYY-MM-DD format (inclusive).",
"type": "string"
},
"max_data_points": {
"default": 100,
"description": "Maximum number of time series data points to return.",
"minimum": 1,
"type": "integer"
},
"start_date": {
"default": null,
"description": "Optional start date filter in YYYY-MM-DD format (inclusive).",
"type": "string"
},
"symbol": {
"description": "Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to retrieve weekly data",
"type": "string"
}
},
"required": [
"symbol"
],
"type": "object"
},
"name": "fetch_time_series_weekly"
},
{
"description": "A financial statement from SEC filings, newest period first, every value traceable to its filing.\nQuarterly figures the company reported only year-to-date are derived (e.g. Q4 = FY - 9M) and marked;\nper-share values and share counts can't be derived that way and are null with reason not_derivable.\nA line the company tagged with its own element is null with reason custom_element. Common equity and the\nbook values from it are null with reason pending when a preferred issue or redemption follows the last\ntagged liquidation preference.\nEvery null carries a reason, in cell_notes or (when all of a row's nulls share it) on the row. Banks,\ninsurers and broker-dealers get not_applicable, with a reason, for lines they don't present (capex,\ncurrent assets, total debt for banks and brokers); banks get loans, allowance and deposits. Broker-dealers\nand asset managers get the bank layout under net_revenues, with compensation and the compensation ratio.\nBalance sheets include common equity, book value per share and net debt. A balance the period's own\nfiling didn't present is null, with any later comparative value in a note. A derived or fallback line equal to\nanother row in every column (total equity with no NCI) is named in same_as instead of shown, and a derived Q4\nwith the opposite sign to Q1-Q3 says so. Values are in units as filed. Values and earlier\nversions come only from financial statements (10-K, 10-Q, their amendments and transition reports,\n20-F, 40-F).",
"inputSchema": {
"additionalProperties": false,
"properties": {
"as_of": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Optional date: the statement as it was on file then"
},
"company": {
"description": "Ticker (e.g. 'AAPL') or SEC CIK",
"type": "string"
},
"limit": {
"default": 4,
"description": "Number of periods, 1 to 8",
"type": "integer"
},
"period_type": {
"default": "annual",
"description": "'annual' or 'quarterly'",
"type": "string"
},
"statement": {
"default": "income",
"description": "'income', 'balance' or 'cashflow'",
"type": "string"
}
},
"required": [
"company"
],
"type": "object"
},
"name": "financials"
},
{
"description": "Search all 113 data tools, including ones not in the default list.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"query": {
"description": "What you need, e.g.",
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "find_tool"
},
{
"description": "One reported figure from SEC filings, with its citation: filing accession number, form, filing\ndate, XBRL tag, period and a link to the filing. Restated values are listed. A figure the company\nnever reported comes back as missing, never estimated. Values are in units as filed (USD, shares,\nUSD/shares). A value and its as_originally_reported version come only from financial statements\n(10-K, 10-Q, their amendments and transition reports, 20-F, 40-F), never a proxy or an 8-K.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"as_of": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Optional date: return the figure as it was on file then (before any later restatement)"
},
"company": {
"description": "Ticker (e.g. 'AAPL') or SEC CIK",
"type": "string"
},
"concept": {
"description": "Line item such as 'revenue', 'net_income', 'eps_diluted', 'total_assets', 'operating_cash_flow', 'shares_outstanding', 'book_value_per_share', 'net_debt', 'dividend_payout_ratio', 'net_revenues', or a raw XBRL tag like 'us-gaap:Revenues'",
"type": "string"
},
"period": {
"default": "latest",
"description": "'latest', a fiscal year 'FY2025', a fiscal quarter 'FY2025 Q2', or a period end date '2025-06-28'",
"type": "string"
}
},
"required": [
"company",
"concept"
],
"type": "object"
},
"name": "get_fact"
},
{
"description": "Run any Finbolt data tool by name, including ones not in the default list.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"arguments": {
"additionalProperties": true,
"default": null,
"description": "Arguments for that tool",
"type": "object"
},
"name": {
"description": "Exact tool name from find_tool, e.g.",
"type": "string"
}
},
"required": [
"name"
],
"type": "object"
},
"name": "run_tool"
},
{
"description": "[Personal research only] Searches for stock symbols and company names based on keywords (e.g., 'Tesla', 'Microsoft Corp').",
"inputSchema": {
"additionalProperties": false,
"properties": {
"keywords": {
"description": "Keywords to search for company names or stock symbols (e.g., 'Tesla', 'Microsoft Corp', 'AAPL')",
"type": "string"
}
},
"required": [
"keywords"
],
"type": "object"
},
"name": "search_endpoint"
},
{
"description": "Check the figures in a memo against SEC filings. Each claim gets one verdict: supported,\nsupported_rounded, period_mismatch, contradicted, ambiguous, not_in_primary_sources or skipped. Returns\nrecord_id, counts by verdict, each contradicted claim (memo value vs filed value, period, accession, and the\nerror when it is a unit or sign error) and how_to_read. Every call is written to your account's append-only\nRecord; call verify_evidence with the record_id for each claim's full evidence.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"agent": {
"default": "unknown",
"description": "The model and version that wrote the memo",
"type": "string"
},
"claims": {
"anyOf": [
{
"items": {
"additionalProperties": true,
"type": "object"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"description": "Up to 50 claims you parsed, each {claim_id, span (the verbatim clause), type 1-6 (1 reported, 2 derived, 3 company_disclosed, 4 market, 5 estimate, 6 forward_looking), concept, value or stated (e.g. '$94.9bn'), unit (USD, shares, USD/shares, pure, percent), period (the memo's phrase), precision}; type 4 also takes price and price_date. Give claims or sentences, not both"
},
"company": {
"description": "Ticker (e.g. 'AAPL') or SEC CIK of the company the memo is about",
"type": "string"
},
"input_text": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Optional: the prompt, stored encrypted in your Record"
},
"memo_date": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "The memo's date, e.g. '2026-06-30': figures are read as they were on file that day"
},
"output_text": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Optional: the memo, stored encrypted in your Record"
},
"sentences": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"description": "Instead of claims: up to 50 memo sentences, parsed for you, with ids C1..Cn"
}
},
"required": [
"company"
],
"type": "object"
},
"name": "verify"
},
{
"description": "Full evidence for the claims of one verify call on your account: each claim's span, parsed figure,\nverdict, reason, tolerance and the filings read, with tag, accession, link, period and source credit.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"claim_ids": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"description": "Optional: only these claims (default: all)"
},
"record_id": {
"description": "The record_id a verify call returned",
"type": "string"
}
},
"required": [
"record_id"
],
"type": "object"
},
"name": "verify_evidence"
}
]
}What the leaf hashes
{"body":"7b8cf4ed9879375609330bf18a5641563afc31ab13e36a6db844e4dd0e3643d6","id":1054081,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793312689777055,"prev":556539,"subject":"9b728676-df89-4a2b-9b9b-f4d9d4f6eed7","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (242798 rows).
- 0x70966ddb8b2fc2f142885c9feff22c7016545d5568f1bd9437e78b96f75d7a02
- 0xfa2d3faaaab5fd8b327cf955e63d6accdce8b4f300d660af96cea598e1c10f26
- 0xa0b963d30a1f4d570c16f31d34f8b1ba8d94e2ed5caddb1a584761e5c54b122b
- 0x0c2ff956343e61afef72dd10a216db5a8420a7476fb2ae97a744213ee6c79145
- 0x4638ad179dfdfb0c44018ce75cbbaa5b9f4c777070039866cf7f6cd46f83eefb
- 0x9d7e2d56bcbbf01766449820c74d3a3d25b092fdbe3063b80db7332264be7731
- 0x8a07c735e995554da39169e77490280e02e7e112396f5f1c8b2779782ad7a4d0
- 0xad0a49b6828b831aaf0538f8f232af35d4620ffae9176db5843226679dd3b43d
- 0xa82610f286e736402a7efb67877b1d74a0344251bb5024e8717c574ed7e8d18f
- 0x0dd5965f0739df1f7bb357681c6d8932ecc180e95c3b91ee8fe14a3fdef6e4c7
- 0x9f6d47dfd46d4e77d1730088deeca7997dc2066a4fb5d87d067def0ab194f961
- 0xd5c55ab16bad102bac8b47aa3438cebb9c39071153f5507f4d11b2abb2ee93f3
- 0xbc3fd8e509855b2d6ee4c13ed5f7f098e0a2473c66efc60e409ad0e77322a80f
- 0xa07c03f1ff4a33c8a0105ab761d762ba211920a4e09af3e5ae84b51a3c4cf51b
- 0x60b5befbd81f025904c8a3936b7ba86e3245ad5b37c615d01d42aa3227e3ed2e
- 0xe2d603cd6f987214550319ad4fa39952b6098bc5c1b20893b6b80e8d82a79934
- 0x91f12a2db1e2c1be07cbe4de3981a37a33051a36d3c3eee5a260804add6d1d75
- 0xd56e61af23709ed9f460471e3c08400c0142ee83e1fd9057e46350d12edf9c07
- Day root
- 0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c
- Chained
- 0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6
- Published
- On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1