Browse indexable data x402 offerings, including provider, method, and service details.
989 indexable offerings in this category.
Annual total population for 6 Pacific Island nations — Fiji, Papua New Guinea, Solomon Islands, Tonga, Vanuatu, Samoa — sourced from World Bank Open Data, not a national-statistics-office-certified feed, see the response's own attribution field. Optional ?years= (default 10, max 60).
CSV cleaning and normalization to JSON: column names, types, duplicates and empty values. Data is processed in memory and not stored.
Deep comparison of two JSON documents: added, removed and changed values with their exact path, optionally ignoring list order. Detect changes in API responses, configs or data snapshots.
Profile a CSV (delimiter auto-detected): rows, columns, type of each column, nulls, unique values, min, max, mean, median, std, sum, top values, duplicate rows and a sample. Understand a dataset befo…
Query a JSON document with JSONPath, including filters and functions ($.items[?(@.price > 10)].name, $..id...): matching values and their paths. Send the JSON in the data field (datos on the Spanish …
Extract from any text, without AI: emails, URLs, phone numbers, IBANs, EVM/Bitcoin/Solana addresses, transaction hashes, IPs, dates, amounts, hashtags, mentions and Spanish tax IDs, deduplicated.
Extract from any text, without AI: emails, URLs, phone numbers, IBANs, EVM/Bitcoin/Solana addresses, transaction hashes, IPs, dates, amounts, hashtags, mentions and Spanish tax IDs, deduplicated.
Structured data extraction with local AI: give a text and a list of field names, get a JSON object with those fields (null when absent).
Run a read-only SQL query (SELECT/WITH, WHERE, GROUP BY, ORDER BY, window functions...) over a CSV loaded as table «datos» in a temporary in-memory SQLite database, and get the rows as JSON.
Population on 1 January of every European country (ranking) or the evolution of one with annual growth. Official Eurostat data.
Convert data between JSON, CSV (auto-detects ; , tab |), YAML, XML and JSON Lines. E.g. a spreadsheet CSV to JSON for an agent, or JSON to CSV for Excel.
Deep comparison of two JSON documents: added, removed and changed values with their exact path, optionally ignoring list order. Detect changes in API responses, configs or data snapshots.
CSV cleaning and normalization to JSON: column names, types, duplicates and empty values. Data is processed in memory and not stored.
Profile a CSV (delimiter auto-detected): rows, columns, type of each column, nulls, unique values, min, max, mean, median, std, sum, top values, duplicate rows and a sample. Understand a dataset befo…
Population on 1 January of every European country (ranking) or the evolution of one with annual growth. Official Eurostat data.
Convert data between JSON, CSV (auto-detects ; , tab |), YAML, XML and JSON Lines. E.g. a spreadsheet CSV to JSON for an agent, or JSON to CSV for Excel.
Compare two lists (emails, IDs, wallets, SKUs...): items in both, only in A, only in B, duplicates within each and union, with counts. Up to 100,000 items per list.
Turn an iCal/ICS calendar URL (Google Calendar, Outlook, holidays, events...) into JSON: upcoming events with title, start and end, all-day flag, location, description and link over the next N days; …
Extract and normalize every number in a text: amounts with currency (€, $, USDC, BTC...), percentages, multipliers (k, million, bn) and plain figures, understanding both 1.234,56 and 1,234.56, with t…
Compare two lists (emails, IDs, wallets, SKUs...): items in both, only in A, only in B, duplicates within each and union, with counts. Up to 100,000 items per list.
Real interest rate of about 40 economies: central bank policy rate minus year-on-year inflation, ranked. The basis of currency carry trades and of judging how tight monetary policy is. BIS data.
Run a read-only SQL query (SELECT/WITH, WHERE, GROUP BY, ORDER BY, window functions...) over a CSV loaded as table «datos» in a temporary in-memory SQLite database, and get the rows as JSON.
Extract and normalize every number in a text: amounts with currency (€, $, USDC, BTC...), percentages, multipliers (k, million, bn) and plain figures, understanding both 1.234,56 and 1,234.56, with t…
Structured data extraction with local AI: give a text and a list of field names, get a JSON object with those fields (null when absent).