List available markets (e.g., 'S&P 500').

List available tickers for a dataset.

List markets grouped by region. Use region codes for filtering in other endpoints.

Normalized app ratings with paging over series. JSON: { format: "json", ticker, name, series: [{date, play_store_score, play_store_ratings_count, app_store_score, app_store_ratings_count, play_store_install_count}, ...], series_count, series_total } CSV: CSV text of the sliced series.

Normalized analyst ratings: { format: "json", ticker, name, series: [{date, rating_type, institution, signal, target_price_from, target_price_to, target_price_raw}, ...], series_count, series_total } CSV returns the sliced series.

Normalized US House trades: { format: "json", ticker, name, series: [{date, representative, trade_type, amount_min, amount_max, amount_exact, amount_raw}, ...], series_count, series_total } CSV returns the sliced series.

Normalized US Senate trades: { format: "json", ticker, name, series: [{date, senator, trade_type, amount_min, amount_max, amount_exact, amount_raw}, ...], series_count, series_total } CSV returns the sliced series.

Normalized corporate lobbying filings: { format: "json", ticker, name, series: [{date, filing_uuid, filing_year, quarter, client_name, registrant_name, income, expenses, issue_codes, government_entities}, ...], series_count, series_total } CSV returns the sliced series.

Normalized insider transactions with paging over series. JSON: { format: "json", ticker, name, series: [{date, insider_name, relationship, transaction_type, price, shares, usd_value, total_shares, sec_form4_date, sec_form4_link}, ...], series_count, series_total } CSV: sliced series as CSV.

Normalized LinkedIn metrics: JSON: { format: "json", ticker, name, series: [{date, employee_count, followers_count}, ...], # paged series_count, series_total } CSV: CSV text of the sliced series.

Normalized options put/call time series. JSON: { format: "json", ticker, name, series: [{date, put_call_ratio, call_count, put_count}, ...], # paged series_count, series_total } CSV: CSV text of the sliced series.

Screener-based market predictions (flat rows with expected_* percentages). Filters by market name or region.

Normalized ticker prediction with a time series: { ticker, name, type, last_update, expected_short/mid/long, series: [{date, mid, low, high}, ...], }

Returns normalized sentiment: { format: "json", ticker, name, series: [{date, score}, ...] (paged), series_count, series_total } If format="csv", returns CSV of the sliced series.

Returns recent news articles for a ticker: { format: "json", ticker, name, series: [{date, headline, source, url}, ...] (paged), series_count, series_total } If format="csv", returns CSV of the sliced series.

Get the most recent news articles across all tracked stocks. Returns rows with ticker, name, date, headline, source, url.

Get the most recent analyst ratings across all tracked stocks. Returns rows with ticker, name, date, institution, rating_type, signal, target_price.

Reddit mention counts across subreddits for a single ticker: { format: "json", ticker, name, series: [{date, subreddit, mentions}, ...], series_count, series_total } CSV returns the sliced series.

U.S. government contract awards for a single ticker: { format: "json", ticker, name, series: [{award_id, award_amount, award_type, awarding_agency, awarding_sub_agency, recipient_name, start_date, end_date, description, naics_code, naics_description, contract_award_type}, ...], series_count, series_total } CSV returns the sliced series.

Screen sentiment across tickers by market or region. Returns rows with ticker, name, date, score. Either market or region is required.

Screen analyst ratings across tickers. Returns rows with ticker, name, date, institution, rating_type, signal, target_price.

Screen insider trades across all tickers. Returns rows with ticker, name, date, insider_name, relationship, transaction_type, shares, total_value.

Screen House of Representatives trades across all tickers. Returns rows with ticker, name, date, politician, trade_type, amount.

Screen Senate trades across all tickers. Returns rows with ticker, name, date, politician, trade_type, amount.

Screen news across tickers. Returns rows with ticker, name, date, headline, source, url.

Screen put/call ratio across tickers. Returns rows with ticker, name, date, put_call_ratio, call_count, put_count.

Screen LinkedIn data across tickers by market or region. Returns rows with ticker, name, date, employee_count, followers_count, job_count. Either market or region is required.

Screen app ratings across tickers by market or region. Returns rows with ticker, name, date, app_store_score, play_store_score. Either market or region is required.

Screen U.S. government contract awards across all tickers. Returns rows with ticker, name, award_id, award_amount, recipient_name, start_date, awarding_agency, naics_description, plus a summary with aggregate stats (total_contracts, total_tickers, total_value).

Screen Reddit mentions across tickers. Returns rows with ticker, name, date, total_mentions, subreddits, plus a summary with aggregate stats (top_mentioned, subreddit_names, etc.).

Basic server health & version info. Tries to resolve the API key and construct the SDK client (no network call), then returns versions.