American Express (AXP)

EarningsTranscriptsUpdated

As of Oct 24, 2026, Kalshi and Polymarket have settled 83 word markets on American Express’ earnings calls since 2025, on 40 different words; most reliably said: “NII / Net Interest Income” (5 of 5).

History Wall

1–40 of 40, most settled first
American Express: every word with settled markets, most settled first
WordQ4’24Jan '25Q1’25Apr '25Q2’25Jul '25Q3’25Oct '25Q4’25Jan '26Q1’26Apr '26Q2’26Jul '26Q3’26last callTrendLast 8ScriptedAll-timeProbability
Lounge4 times: Lounge, Q4’24 Jan '25, counts as said0 times: Lounge, Q1’25 Apr '2510 times: Lounge, Q2’25 Jul '25, counts as said1 time: Lounge, Q3’25 Oct '25, counts as said1 time: Lounge, Q4’25 Jan '26, counts as said1 time: Lounge, Q1’26 Apr '26, counts as said4 times: Lounge, Q2’26 Jul '26, counts as said1 time: Lounge, Q3’26 Oct '26, counts as saidfalling7/888%6/875%33/7842%81%n=5+tx from settlement history blended with transcripts
Millennial5 times: Millennial, Q4’24 Jan '25, counts as said11 times: Millennial, Q1’25 Apr '25, counts as said4 times: Millennial, Q2’25 Jul '25, counts as said3 times: Millennial, Q3’25 Oct '25, counts as said1 time: Millennial, Q4’25 Jan '26, counts as said12 times: Millennial, Q1’26 Apr '26, counts as said5 times: Millennial, Q2’26 Jul '26, counts as said1 time: Millennial, Q3’26 Oct '26, counts as saidfalling8/8100%7/888%29/7837%92%n=5+tx from settlement history blended with transcripts
NII / Net Interest Income4 times: NII / Net Interest Income, Q4’24 Jan '25, counts as said1 time: NII / Net Interest Income, Q1’25 Apr '25, counts as said4 times: NII / Net Interest Income, Q2’25 Jul '25, counts as said2 times: NII / Net Interest Income, Q3’25 Oct '25, counts as said3 times: NII / Net Interest Income, Q4’25 Jan '26, counts as said7 times: NII / Net Interest Income, Q1’26 Apr '26, counts as said9 times: NII / Net Interest Income, Q2’26 Jul '26, counts as said5 times: NII / Net Interest Income, Q3’26 Oct '26, counts as saidrising8/8100%8/8100%73/7894%94%n=5+tx from settlement history blended with transcripts
Blockchain0 times: Blockchain, Q4’24 Jan '250 times: Blockchain, Q1’25 Apr '250 times: Blockchain, Q2’25 Jul '250 times: Blockchain, Q3’25 Oct '250 times: Blockchain, Q4’25 Jan '260 times: Blockchain, Q1’26 Apr '260 times: Blockchain, Q2’26 Jul '260 times: Blockchain, Q3’26 Oct '26steady0/80%0/80%3/784%9%n=5+tx from settlement history blended with transcripts
Coinbase0 times: Coinbase, Q4’24 Jan '250 times: Coinbase, Q1’25 Apr '253 times: Coinbase, Q2’25 Jul '25, counts as said0 times: Coinbase, Q3’25 Oct '250 times: Coinbase, Q4’25 Jan '260 times: Coinbase, Q1’26 Apr '260 times: Coinbase, Q2’26 Jul '260 times: Coinbase, Q3’26 Oct '26falling1/812%0/80%1/781%11%n=5+tx from settlement history blended with transcripts
Currency4 times: Currency, Q4’24 Jan '25, counts as said0 times: Currency, Q1’25 Apr '2511 times: Currency, Q2’25 Jul '25, counts as said0 times: Currency, Q3’25 Oct '250 times: Currency, Q4’25 Jan '260 times: Currency, Q1’26 Apr '260 times: Currency, Q2’26 Jul '260 times: Currency, Q3’26 Oct '26falling2/825%1/812%28/7836%13%n=5+tx from settlement history blended with transcripts
Spending Trend0 times: Spending Trend, Q4’24 Jan '251 time: Spending Trend, Q1’25 Apr '25, counts as said0 times: Spending Trend, Q2’25 Jul '250 times: Spending Trend, Q3’25 Oct '250 times: Spending Trend, Q4’25 Jan '260 times: Spending Trend, Q1’26 Apr '260 times: Spending Trend, Q2’26 Jul '260 times: Spending Trend, Q3’26 Oct '26steady1/812%1/812%20/7826%11%n=5+tx from settlement history blended with transcripts
Stablecoin0 times: Stablecoin, Q4’24 Jan '250 times: Stablecoin, Q1’25 Apr '258 times: Stablecoin, Q2’25 Jul '25, counts as said0 times: Stablecoin, Q3’25 Oct '250 times: Stablecoin, Q4’25 Jan '260 times: Stablecoin, Q1’26 Apr '260 times: Stablecoin, Q2’26 Jul '260 times: Stablecoin, Q3’26 Oct '26falling1/812%0/80%3/784%11%n=5+tx from settlement history blended with transcripts
Regulation / Regulatory1 time: Regulation / Regulatory, Q4’24 Jan '25, counts as said0 times: Regulation / Regulatory, Q1’25 Apr '253 times: Regulation / Regulatory, Q2’25 Jul '25, counts as said0 times: Regulation / Regulatory, Q3’25 Oct '251 time: Regulation / Regulatory, Q4’25 Jan '26, counts as said1 time: Regulation / Regulatory, Q1’26 Apr '26, counts as said0 times: Regulation / Regulatory, Q2’26 Jul '260 times: Regulation / Regulatory, Q3’26 Oct '26falling4/850%3/838%53/7868%34%n=4+tx from settlement history blended with transcripts
Dunkin0 times: Dunkin, Q4’24 Jan '251 time: Dunkin, Q1’25 Apr '25, counts as said0 times: Dunkin, Q2’25 Jul '251 time: Dunkin, Q3’25 Oct '25, counts as said0 times: Dunkin, Q4’25 Jan '260 times: Dunkin, Q1’26 Apr '260 times: Dunkin, Q2’26 Jul '260 times: Dunkin, Q3’26 Oct '26falling2/825%0/80%2/783%18%n=3+tx from settlement history blended with transcripts
Amazon0 times: Amazon, Q4’24 Jan '250 times: Amazon, Q1’25 Apr '252 times: Amazon, Q2’25 Jul '25, counts as said0 times: Amazon, Q3’25 Oct '250 times: Amazon, Q4’25 Jan '261 time: Amazon, Q1’26 Apr '26, counts as said1 time: Amazon, Q2’26 Jul '26, counts as said4 times: Amazon, Q3’26 Oct '26, counts as saidrising4/850%1/812%15/7819%70%n=2+tx from settlement history blended with transcripts
OpenAI / ChatGPT0 times: OpenAI / ChatGPT, Q4’24 Jan '250 times: OpenAI / ChatGPT, Q1’25 Apr '250 times: OpenAI / ChatGPT, Q2’25 Jul '250 times: OpenAI / ChatGPT, Q3’25 Oct '250 times: OpenAI / ChatGPT, Q4’25 Jan '262 times: OpenAI / ChatGPT, Q1’26 Apr '26, counts as said1 time: OpenAI / ChatGPT, Q2’26 Jul '26, counts as said6 times: OpenAI / ChatGPT, Q3’26 Oct '26, counts as saidrising3/838%2/825%3/784%74%n=2+tx from settlement history blended with transcripts
NFL0 times: NFL, Q4’24 Jan '250 times: NFL, Q1’25 Apr '250 times: NFL, Q2’25 Jul '250 times: NFL, Q3’25 Oct '250 times: NFL, Q4’25 Jan '263 times: NFL, Q1’26 Apr '26, counts as said6 times: NFL, Q2’26 Jul '26, counts as said2 times: NFL, Q3’26 Oct '26, counts as saidrising3/838%2/825%3/784%77%n=2+tx from settlement history blended with transcripts
Rate Cap / 10% Capnever said0 times: Rate Cap / 10% Cap, Q4’24 Jan '250 times: Rate Cap / 10% Cap, Q1’25 Apr '250 times: Rate Cap / 10% Cap, Q2’25 Jul '250 times: Rate Cap / 10% Cap, Q3’25 Oct '250 times: Rate Cap / 10% Cap, Q4’25 Jan '260 times: Rate Cap / 10% Cap, Q1’26 Apr '260 times: Rate Cap / 10% Cap, Q2’26 Jul '260 times: Rate Cap / 10% Cap, Q3’26 Oct '26steady0/80%0/80%0/780%10%n=2+tx from settlement history blended with transcripts
Basel0 times: Basel, Q4’24 Jan '250 times: Basel, Q1’25 Apr '250 times: Basel, Q2’25 Jul '250 times: Basel, Q3’25 Oct '250 times: Basel, Q4’25 Jan '261 time: Basel, Q1’26 Apr '26, counts as said0 times: Basel, Q2’26 Jul '260 times: Basel, Q3’26 Oct '26steady1/812%1/812%13/7817%17%n=2+tx from settlement history blended with transcripts
Trumpnever said0 times: Trump, Q4’24 Jan '250 times: Trump, Q1’25 Apr '250 times: Trump, Q2’25 Jul '250 times: Trump, Q3’25 Oct '250 times: Trump, Q4’25 Jan '260 times: Trump, Q1’26 Apr '260 times: Trump, Q2’26 Jul '260 times: Trump, Q3’26 Oct '26steady0/80%0/80%0/780%10%n=2+tx from settlement history blended with transcripts
Acquisition20 times: Acquisition, Q4’24 Jan '25, counts as said14 times: Acquisition, Q1’25 Apr '25, counts as said6 times: Acquisition, Q2’25 Jul '25, counts as said9 times: Acquisition, Q3’25 Oct '25, counts as said12 times: Acquisition, Q4’25 Jan '26, counts as said10 times: Acquisition, Q1’26 Apr '26, counts as said18 times: Acquisition, Q2’26 Jul '26, counts as said8 times: Acquisition, Q3’26 Oct '26, counts as saidsteady8/8100%8/8100%77/7899%95%n=1+tx from settlement history blended with transcripts
Airline4 times: Airline, Q4’24 Jan '25, counts as said4 times: Airline, Q1’25 Apr '25, counts as said8 times: Airline, Q2’25 Jul '25, counts as said6 times: Airline, Q3’25 Oct '25, counts as said1 time: Airline, Q4’25 Jan '26, counts as said5 times: Airline, Q1’26 Apr '26, counts as said4 times: Airline, Q2’26 Jul '26, counts as said3 times: Airline, Q3’26 Oct '26, counts as saidsteady8/8100%7/888%52/7867%87%n=1+tx from settlement history blended with transcripts
Commercial4 times: Commercial, Q4’24 Jan '25, counts as said2 times: Commercial, Q1’25 Apr '25, counts as said0 times: Commercial, Q2’25 Jul '252 times: Commercial, Q3’25 Oct '25, counts as said5 times: Commercial, Q4’25 Jan '26, counts as said11 times: Commercial, Q1’26 Apr '26, counts as said4 times: Commercial, Q2’26 Jul '26, counts as said3 times: Commercial, Q3’26 Oct '26, counts as saidrising7/888%6/875%62/7879%89%n=1+tx from settlement history blended with transcripts
Digital1 time: Digital, Q4’24 Jan '25, counts as said1 time: Digital, Q1’25 Apr '25, counts as said8 times: Digital, Q2’25 Jul '25, counts as said5 times: Digital, Q3’25 Oct '25, counts as said5 times: Digital, Q4’25 Jan '26, counts as said1 time: Digital, Q1’26 Apr '26, counts as said1 time: Digital, Q2’26 Jul '26, counts as said1 time: Digital, Q3’26 Oct '26, counts as saidfalling8/8100%4/850%56/7872%81%n=1+tx from settlement history blended with transcripts
Expenseevery call16 times: Expense, Q4’24 Jan '25, counts as said15 times: Expense, Q1’25 Apr '25, counts as said13 times: Expense, Q2’25 Jul '25, counts as said10 times: Expense, Q3’25 Oct '25, counts as said22 times: Expense, Q4’25 Jan '26, counts as said13 times: Expense, Q1’26 Apr '26, counts as said16 times: Expense, Q2’26 Jul '26, counts as said12 times: Expense, Q3’26 Oct '26, counts as saidsteady8/8100%8/8100%78/78100%96%n=1+tx from settlement history blended with transcripts
Fraud0 times: Fraud, Q4’24 Jan '250 times: Fraud, Q1’25 Apr '250 times: Fraud, Q2’25 Jul '250 times: Fraud, Q3’25 Oct '252 times: Fraud, Q4’25 Jan '26, counts as said6 times: Fraud, Q1’26 Apr '26, counts as said3 times: Fraud, Q2’26 Jul '26, counts as said0 times: Fraud, Q3’26 Oct '26rising3/838%2/825%14/7818%67%n=1+tx from settlement history blended with transcripts
Luxury0 times: Luxury, Q4’24 Jan '250 times: Luxury, Q1’25 Apr '250 times: Luxury, Q2’25 Jul '250 times: Luxury, Q3’25 Oct '251 time: Luxury, Q4’25 Jan '26, counts as said2 times: Luxury, Q1’26 Apr '26, counts as said2 times: Luxury, Q2’26 Jul '26, counts as said0 times: Luxury, Q3’26 Oct '26rising3/838%3/838%6/788%55%n=1+tx from settlement history blended with transcripts
Platinum3+ times0 times: Platinum (3+ times), Q4’24 Jan '254 times: Platinum (3+ times), Q1’25 Apr '25, counts as said10 times: Platinum (3+ times), Q2’25 Jul '25, counts as said29 times: Platinum (3+ times), Q3’25 Oct '25, counts as said32 times: Platinum (3+ times), Q4’25 Jan '26, counts as said9 times: Platinum (3+ times), Q1’26 Apr '26, counts as said24 times: Platinum (3+ times), Q2’26 Jul '26, counts as said7 times: Platinum (3+ times), Q3’26 Oct '26, counts as saidrising7/888%5/862%30/7838%89%n=1+tx from settlement history blended with transcripts
Quarterevery call 10+ times45 times: Quarter 10+ times, Q4’24 Jan '25, counts as said46 times: Quarter 10+ times, Q1’25 Apr '25, counts as said31 times: Quarter 10+ times, Q2’25 Jul '25, counts as said45 times: Quarter 10+ times, Q3’25 Oct '25, counts as said20 times: Quarter 10+ times, Q4’25 Jan '26, counts as said38 times: Quarter 10+ times, Q1’26 Apr '26, counts as said31 times: Quarter 10+ times, Q2’26 Jul '26, counts as said53 times: Quarter 10+ times, Q3’26 Oct '26, counts as saidsteady8/8100%8/8100%78/78100%87%n=1+tx from settlement history blended with transcripts
Refresh10 times: Refresh, Q4’24 Jan '25, counts as said23 times: Refresh, Q1’25 Apr '25, counts as said26 times: Refresh, Q2’25 Jul '25, counts as said31 times: Refresh, Q3’25 Oct '25, counts as said18 times: Refresh, Q4’25 Jan '26, counts as said9 times: Refresh, Q1’26 Apr '26, counts as said14 times: Refresh, Q2’26 Jul '26, counts as said7 times: Refresh, Q3’26 Oct '26, counts as saidfalling8/8100%8/8100%35/7845%95%n=1+tx from settlement history blended with transcripts
Restaurant1 time: Restaurant, Q4’24 Jan '25, counts as said9 times: Restaurant, Q1’25 Apr '25, counts as said2 times: Restaurant, Q2’25 Jul '25, counts as said3 times: Restaurant, Q3’25 Oct '25, counts as said7 times: Restaurant, Q4’25 Jan '26, counts as said2 times: Restaurant, Q1’26 Apr '26, counts as said14 times: Restaurant, Q2’26 Jul '26, counts as said8 times: Restaurant, Q3’26 Oct '26, counts as saidrising8/8100%7/888%29/7837%93%n=1+tx from settlement history blended with transcripts
Retention1 time: Retention, Q4’24 Jan '25, counts as said5 times: Retention, Q1’25 Apr '25, counts as said3 times: Retention, Q2’25 Jul '25, counts as said8 times: Retention, Q3’25 Oct '25, counts as said4 times: Retention, Q4’25 Jan '26, counts as said3 times: Retention, Q1’26 Apr '26, counts as said4 times: Retention, Q2’26 Jul '26, counts as said2 times: Retention, Q3’26 Oct '26, counts as saidsteady8/8100%8/8100%30/7838%87%n=1+tx from settlement history blended with transcripts
Automation0 times: Automation, Q4’24 Jan '250 times: Automation, Q1’25 Apr '250 times: Automation, Q2’25 Jul '250 times: Automation, Q3’25 Oct '250 times: Automation, Q4’25 Jan '260 times: Automation, Q1’26 Apr '260 times: Automation, Q2’26 Jul '261 time: Automation, Q3’26 Oct '26, counts as saidrising1/812%0/80%12/7815%25%n=1+tx from settlement history blended with transcripts
Crypto0 times: Crypto, Q4’24 Jan '250 times: Crypto, Q1’25 Apr '250 times: Crypto, Q2’25 Jul '250 times: Crypto, Q3’25 Oct '250 times: Crypto, Q4’25 Jan '260 times: Crypto, Q1’26 Apr '260 times: Crypto, Q2’26 Jul '260 times: Crypto, Q3’26 Oct '26steady0/80%0/80%2/783%12%n=1+tx from settlement history blended with transcripts
Cybersecurity0 times: Cybersecurity, Q4’24 Jan '250 times: Cybersecurity, Q1’25 Apr '250 times: Cybersecurity, Q2’25 Jul '250 times: Cybersecurity, Q3’25 Oct '251 time: Cybersecurity, Q4’25 Jan '26, counts as said0 times: Cybersecurity, Q1’26 Apr '260 times: Cybersecurity, Q2’26 Jul '260 times: Cybersecurity, Q3’26 Oct '26steady1/812%1/812%1/781%20%n=1+tx from settlement history blended with transcripts
Fiscalnever said 10+ times0 times: Fiscal 10+ times, Q4’24 Jan '250 times: Fiscal 10+ times, Q1’25 Apr '250 times: Fiscal 10+ times, Q2’25 Jul '250 times: Fiscal 10+ times, Q3’25 Oct '250 times: Fiscal 10+ times, Q4’25 Jan '260 times: Fiscal 10+ times, Q1’26 Apr '260 times: Fiscal 10+ times, Q2’26 Jul '260 times: Fiscal 10+ times, Q3’26 Oct '26steady0/80%0/80%0/780%2%n=1+tx from settlement history blended with transcripts
Income10+ times2 times: Income 10+ times, Q4’24 Jan '25, below the threshold3 times: Income 10+ times, Q1’25 Apr '25, below the threshold1 time: Income 10+ times, Q2’25 Jul '25, below the threshold2 times: Income 10+ times, Q3’25 Oct '25, below the threshold1 time: Income 10+ times, Q4’25 Jan '26, below the threshold2 times: Income 10+ times, Q1’26 Apr '26, below the threshold7 times: Income 10+ times, Q2’26 Jul '26, below the threshold2 times: Income 10+ times, Q3’26 Oct '26, below the thresholdrising0/80%0/80%11/7814%9%n=1+tx from settlement history blended with transcripts
Inventory0 times: Inventory, Q4’24 Jan '251 time: Inventory, Q1’25 Apr '25, counts as said1 time: Inventory, Q2’25 Jul '25, counts as said0 times: Inventory, Q3’25 Oct '250 times: Inventory, Q4’25 Jan '260 times: Inventory, Q1’26 Apr '260 times: Inventory, Q2’26 Jul '260 times: Inventory, Q3’26 Oct '26falling2/825%0/80%8/7810%17%n=1+tx from settlement history blended with transcripts
Nordstromnever said0 times: Nordstrom, Q4’24 Jan '250 times: Nordstrom, Q1’25 Apr '250 times: Nordstrom, Q2’25 Jul '250 times: Nordstrom, Q3’25 Oct '250 times: Nordstrom, Q4’25 Jan '260 times: Nordstrom, Q1’26 Apr '260 times: Nordstrom, Q2’26 Jul '260 times: Nordstrom, Q3’26 Oct '26steady0/80%0/80%0/780%11%n=1+tx from settlement history blended with transcripts
Regulation0 times: Regulation, Q4’24 Jan '250 times: Regulation, Q1’25 Apr '253 times: Regulation, Q2’25 Jul '25, counts as said0 times: Regulation, Q3’25 Oct '250 times: Regulation, Q4’25 Jan '260 times: Regulation, Q1’26 Apr '260 times: Regulation, Q2’26 Jul '260 times: Regulation, Q3’26 Oct '26falling1/812%0/80%30/7838%15%n=1+tx from settlement history blended with transcripts
Reservation0 times: Reservation, Q4’24 Jan '250 times: Reservation, Q1’25 Apr '250 times: Reservation, Q2’25 Jul '250 times: Reservation, Q3’25 Oct '250 times: Reservation, Q4’25 Jan '260 times: Reservation, Q1’26 Apr '260 times: Reservation, Q2’26 Jul '261 time: Reservation, Q3’26 Oct '26, counts as saidrising1/812%1/812%14/7818%25%n=1+tx from settlement history blended with transcripts
Tariff0 times: Tariff, Q4’24 Jan '251 time: Tariff, Q1’25 Apr '25, counts as said0 times: Tariff, Q2’25 Jul '250 times: Tariff, Q3’25 Oct '250 times: Tariff, Q4’25 Jan '260 times: Tariff, Q1’26 Apr '260 times: Tariff, Q2’26 Jul '260 times: Tariff, Q3’26 Oct '26steady1/812%0/80%2/783%15%n=1+tx from settlement history blended with transcripts
Volatility1 time: Volatility, Q4’24 Jan '25, counts as said2 times: Volatility, Q1’25 Apr '25, counts as said0 times: Volatility, Q2’25 Jul '250 times: Volatility, Q3’25 Oct '251 time: Volatility, Q4’25 Jan '26, counts as said0 times: Volatility, Q1’26 Apr '260 times: Volatility, Q2’26 Jul '260 times: Volatility, Q3’26 Oct '26falling3/838%0/80%24/7831%24%n=1+tx from settlement history blended with transcripts
Wealth0 times: Wealth, Q4’24 Jan '254 times: Wealth, Q1’25 Apr '25, counts as said0 times: Wealth, Q2’25 Jul '250 times: Wealth, Q3’25 Oct '250 times: Wealth, Q4’25 Jan '260 times: Wealth, Q1’26 Apr '260 times: Wealth, Q2’26 Jul '260 times: Wealth, Q3’26 Oct '26falling1/812%0/80%4/785%15%n=1+tx from settlement history blended with transcripts
  • times said on that call
  • counted as said (ring)
  • no call
  • probability next time, with n
  • Select a word or a cell for its quotes
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
Probability
the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history

Appearances and settled record

latest 12

Our transcript counts matched how 83 of 83 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Oct 23, 2026Earnings call FY26 Q3Speaker-labelled transcript147 yes · 7 no14/14 (100%)
Jul 24, 2026Earnings call FY26 Q2Speaker-labelled transcript3416 yes · 18 no34/34 (100%)
Apr 23, 2026Earnings call FY26 Q1Speaker-labelled transcript124 yes · 8 no12/12 (100%)
Jan 30, 2026Earnings call FY25 Q4Speaker-labelled transcript124 yes · 8 no12/12 (100%)
Oct 17, 2025Earnings call FY25 Q3Speaker-labelled transcript115 yes · 6 no11/11 (100%)
Jul 18, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Apr 17, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Jan 24, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Oct 18, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Jul 19, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Apr 19, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Jan 26, 2024Earnings call FY23 Q4Speaker-labelled transcript0––

Citeparrot.markets, “American Express (AXP): earnings call word history”, as of Oct 24, 2026, https://parrot.markets/earnings/AXP (CC BY 4.0)

Agents: this page as TSV at /api/v1/entity/american-express · words: /api/v1/history?entity=american-express · columnar JSON in #parrot-data · llms.txt · MCP