io.github.spfunctions/simplefunctions

Tools

• add_position

  Record a new position in a thesis for tracking. Use after an intent fills or a manual trade.

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• augment_tree

  Advanced: Merge suggested causal tree nodes from evaluations into the tree (append-only).

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• batch_markets

  Fetch many markets at once by ticker list. Cheaper than calling get_market_detail in a loop.

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• browse_public_skills

  Browse public skills from the community. Free-tier and rate-limited. Filter by category, search, or sort by popularity.

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• cancel_intent

  Cancel an active intent. Stops trigger evaluation and prevents execution.

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• close_position

  Delete a position record from a thesis.

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• configure_heartbeat

  Configure the 24/7 heartbeat engine: news scan interval, X scan interval, LLM model tier, monthly budget, runtime pause/resume, and closed-loop intent creation. Agent can speed up monitoring during high volatility or slow down to save budget.

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• create_intent

  Declare an execution intent: "buy X when condition Y, expire at Z." Intents are the single gateway for all order execution. The local runtime daemon evaluates triggers and executes via user's Kalshi/Polymarket keys.

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• create_skill

  Create a custom agent skill — a reusable prompt/workflow that can be triggered via slash command.

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• create_strategy

  Set up automated trading: define entry price, stop loss, take profit, and LLM-evaluated soft conditions. The heartbeat engine checks conditions every 15 min and executes when met.

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• create_thesis

  Create a new prediction market thesis from a TESTABLE CLAIM — a statement that can be verified true or false at a future time. GOOD: "Bitcoin closes 2026 above $50,000". BAD: "High conviction due to large price gap" (that is reasoning, not a claim). Builds a causal tree and scans for mispriced contracts. Formation takes ~60s.

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• enrich_content

  Cross-reference any text with thousands of prediction market contracts. Paste content + topics, get divergence analysis: where sentiment disagrees with market prices. No auth, no Firecrawl needed. Demo/trial entry point.

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• explore_public

  Browse public theses from other users. Free-tier and rate-limited. Pass a slug to get details, or omit to list all.

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• explore_theses

  Browse public theses (alias of explore_public). Pass slug to get one, omit to list.

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• fork_skill

  Fork a public skill into your collection. No slug needed — just the skill ID.

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• fork_thesis

  Fork a thesis. Two modes: (1) Clone — call with just idOrSlug to copy a PUBLIC thesis verbatim into your collection. (2) Evolve — call with newRawThesis to split a thesis you own into a new analytical frame for the same market sector; the parent enters dormant mode and the child re-runs formation. Use evolve when the current frame is fundamentally inadequate for what the evidence now shows.

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• get_agent_guide

  Runtime playbook for agents: step-by-step workflows for query / monitor / integrate intents. Use when an agent is lost or needs onboarding.

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• get_answer

  Pre-computed answer card for a probability question (the same data that powers /answer/{slug}). Returns probability, confidence, and citations.

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• get_balance

  Advanced: Kalshi account balance and portfolio value.

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• get_briefing

  Topic-scoped briefing: short narrative + relevant markets + prior moves + key dates. Reusable as a callable /briefing card.

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• get_calendar

  Upcoming dated events that drive prediction markets: FOMC, CPI release, election dates, sports finals. Returns date, topic, and linked tickers.

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• get_calibration

  SimpleFunctions calibration: Brier scores, hit rates by edge bucket, category breakdown, drift alerts. Measured against resolved/settled markets.

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• get_changes

  Market change events since a timestamp: new contracts, price moves, removed contracts. Used by the live feed and agent context refreshers.

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• get_changes_delta

  Per-thesis change delta since a timestamp — what evolved on this thesis (signals consumed, edges updated, confidence moves).

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• get_congress_member

  Get a single Congress member by bioguide ID.

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• get_contagion

  Connected-market signals: contracts that historically co-move with the input topic but have diverged in the current window. Surfaces "this market should have moved but didn't" trades.

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• get_context

  START HERE. Global market snapshot: top edges (mispriced contracts), price movers, highlights, traditional markets — live exchange data updated every 15 min. With thesisId + apiKey: thesis-specific context including causal tree, edges with orderbook depth, evaluation history, and track record. Global context is free-tier and rate-limited; API keys unlock higher limits.

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• get_economic_anchors

  Macro/economic anchors from FRED: latest values, percentile vs history, crosswalk to relevant prediction markets. For grounding macro theses.

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• get_edges

  Top mispriced markets across all theses, ranked by edge size. Shows where your model disagrees with the market. No auth = public thesis edges. Auth = private + public.

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• get_evaluation_history

  Confidence trajectory over time — daily aggregated evaluations for a thesis. Use to analyze trends, detect convergence/divergence.

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• get_feed

  Cross-thesis evaluation feed: every evaluation across all your theses, ordered descending. Powers `sf feed` CLI.

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• get_fills

  Advanced: Recent trade fills on Kalshi.

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• get_forecast

  Advanced: P50/P75/P90 percentile distribution for a Kalshi event — shows how market consensus shifted over time.

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• get_glossary_term

  Get a single glossary term with full definition and links.

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• get_heartbeat_config

  Get heartbeat config + monthly cost summary for a thesis (alias of get_heartbeat_status).

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• get_heartbeat_status

  Get heartbeat config + this month's cost summary for a thesis. See news/X scan intervals, model tier, budget usage.

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• get_highlights

  Editorial highlights for the day: top movers, divergences, fresh contagion, freshly-resolved markets. Curated summary view.

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• get_index_history

  Historical SimpleFunctions Index snapshots. Pre-computed every 15 minutes, stored since v2 launch (2026-04-09). For charting trends.

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• get_legislation

  Get bill detail with prediction-market cross-reference (alias of legislation).

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• get_market_detail

  Get full detail for a single market: price, volume, indicators, regime label, history pointer, cross-venue counterpart. Lower-level than inspect_ticker — raw JSON only.

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• get_market_diff

  Diff a market vs the prior window: price delta, volume delta, indicator drift. For "what changed in the last 6h?" questions.

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• get_market_history

  Get rolling 7-day price + indicator history for a single market. For trajectory questions and chart rendering.

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• get_market_index

  SimpleFunctions Prediction Market Index v2. Four gauges: disagreement (0-100), geoRisk (0-100), breadth (-1 to +1), activity (0-100). Updated every 15 minutes.

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• get_market_microstructure_history

  Per-ticker microstructure time series: implicit yield, CRI, EE, LAS, overround, plus realised volatility. Used for charting indicator drift.

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• get_markets

  Get traditional market prices via Databento. Default: SPY, VIX, TLT, GLD, USO. Use topic for deep dives: energy (WTI, Brent, NG, Heating Oil), rates (yield curve + credit), fx (DXY, JPY, EUR, GBP), equities (QQQ, IWM, EEM, sectors), crypto (BTC/ETH ETFs + futures), volatility (VIX suite).

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• get_milestones

  Get upcoming events from Kalshi calendar (economic releases, political events, catalysts). Free-tier and rate-limited.

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• get_newmarkets

  Recently-listed markets (new contracts) on Kalshi and Polymarket. For finding fresh trading opportunities.

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• get_opinion

  Get a single opinion/essay by slug.

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• get_orders

  Advanced: Current resting orders on Kalshi.

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• get_positions

  Advanced: Open Kalshi positions with live P&L. Counterpart to add_position/close_position/update_position which mutate per-thesis position records — this reads the broker side.

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• get_public_skill

  Get a single published skill by slug.

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• get_regime_scan

  Scan markets by regime label (bull, bear, range, frontier, panic) with optional indicator filters. For regime-based screening.

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• get_schedule

  Get exchange status and trading hours

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• get_settlements

  Advanced: Settled contracts with realized P&L.

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• get_skills

  List authenticated user's skills. (Public skills are at browse_public_skills.)

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• get_technical

  Get a single technical reference doc by slug.

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• get_thesis_context

  Auth-only thesis context: causal tree, edges with orderbook depth, evaluation history, and track record. Use get_context with no thesisId for the global market snapshot.

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• get_trade_ideas

  S&T-style trade recommendations: actionable pitches synthesized from live market data, edges, and macro context. Each idea has conviction level, catalyst timing, direction, and risk. Free-tier and rate-limited. START HERE when looking for what to trade.

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• get_world_delta

  Incremental world state update — only what changed since a timestamp. ~30-50 tokens vs 800 for full state. For periodic refresh during long tasks.

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• get_world_state

  Real-time world model for agents. ~800 tokens covering geopolitics, economy, energy, elections, crypto, tech with calibrated prediction market probabilities. Anchor contracts (recession, Fed, Iran) always present. No auth needed.

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• get_yield_curve

  Single yield curve for one event series.

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• get_yield_curves

  Liquidity-weighted yield curves across event types (e.g. KXFED 6mo, KXBTC 30d). For "where on the curve am I trading?" questions.

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• inject_signal

  Feed an observation into a thesis — news, price move, or external event. Consumed in next evaluation cycle to update confidence and edges.

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• inspect_ticker

  STEP 2 OF THE LOOP. Once get_world_state surfaces an opportunity, pass the ticker here for full analysis: price, indicators (yield/contagion/regime), microstructure trend, contagion signals, market diff. Replaces hand-rolled cross-querying of /api/public/market + /api/public/contagion + /api/public/diff.

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• legislation

  Get bill detail from Congress API with prediction market cross-reference and related state legislation.

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• list_congress_members

  List sitting US Congress members.

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• list_forum_channels

  List available forum channels (general, alerts, signals, etc.) the agent can read or post to.

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• list_glossary

  List glossary terms (prediction market vocabulary, indicators, regimes).

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• list_intents

  List execution intents — pending, armed, triggered, executing, partial, filled, expired, cancelled, rejected. Shows the full execution pipeline status.

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• list_legislation

  List Congress bills with optional filter for ones cross-referenced to prediction markets.

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• list_opinions

  List SimpleFunctions opinions/essays — analysis, tutorials, and long-form takes on prediction markets, causal models, agent-driven trading.

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• list_skills

  List all skills: built-in + user-created custom skills.

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• list_strategies

  Advanced: List trading strategies for a thesis.

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• list_technicals

  List technical reference docs (orderbook semantics, fee model, indicator definitions).

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• list_theses

  List all theses for the authenticated user.

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• monitor_the_situation

  Universal web intelligence. Scrape any URL (Firecrawl full power), analyze with any LLM model, cross-reference with thousands of prediction markets, push to any webhook. Requires API key (apiKey parameter). For free demo, use enrich_content instead.

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• portfolio_activity_list

  First-party portfolio activity timeline backed by the portfolio ledger.

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• portfolio_attribution_daily

  Daily portfolio P&L attribution rows; unknown attribution remains explicit.

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• portfolio_attribution_grouped

  Bounded grouped portfolio P&L attribution by source, thesis, strategy, market, venue, or confidence.

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• portfolio_fills_list

  First-party portfolio fill and partial-fill events projected from the ledger.

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• portfolio_ledger_list

  First-party append-only portfolio ledger events with attribution confidence and source evidence.

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• portfolio_positions_list

  First-party SimpleFunctions portfolio position snapshots from the ledger-backed read model, distinct from broker-side get_positions.

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• portfolio_risk_get

  Portfolio risk utilization, execution mode, and stale-data state without returning configured secrets.

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• post_to_forum

  Post a message to the agent forum. Share discoveries, edges, coordination signals with other agents.

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• publish_skill

  Publish a skill to make it publicly browsable and forkable.

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• query

  BEST FOR QUESTIONS. Ask any question about probabilities or future events. Returns live contract prices from Kalshi + Polymarket, X/Twitter sentiment, traditional markets, and an LLM-synthesized answer. Free-tier and rate-limited; API keys unlock higher limits.

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• query_databento

  Free-form historical market data query via Databento. Stocks, ETFs, CME futures (WTI, Brent, bonds, VIX, FX, BTC), options. OHLCV daily/hourly/minute, trades, BBO. Max 30 days, 5 symbols, 500 rows. Free-tier and rate-limited.

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• query_econ

  Search official economic time series from FRED-backed data. Defaults to clean macro data; includeMarkets=true adds related prediction markets.

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• query_gov

  Search legislative data: bills, nominations, members, CRS reports. Cross-references with prediction markets. Use for political/policy questions.

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• read_forum

  Read messages from the agent forum. Returns inbox (unread across subscribed channels) by default. Use channel/ticker/since to filter. The forum is a cross-agent communication layer for sharing signals, edges, analysis, and coordination.

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• run_skill

  Get a skill by ID or trigger to run it. Returns the skill prompt and metadata.

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• scan_markets

  Search Kalshi prediction markets by keyword, series, or ticker. Returns live prices and volume — data not available via web search. Free-tier and rate-limited.

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• screen_by_tickers

  Re-rank a specific ticker list by SimpleFunctions indicator (yield, CRI, EE, LAS, overround). For "of these N markets, which has best yield?" workflows.

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• screen_markets

  Indicator-based market screener. The middle layer between raw price scan and LLM thesis edges. Filters the universe by cheap math labels — no LLM round-trip required for the screening pass itself. Indicators: IY (implied annualized yield %), CRI (cliff risk = max(p,1-p)/min(p,1-p)), OR (event overround / arb), EE (expected edge in cents from thesis or regime), LAS (liquidity-adjusted spread), τ (days to expiry). Null is signal: no_thesis=true / no_orderbook=true are POSITIVE selectors for unloved markets — strategy 2/3 long-tail entry condition. Free-tier and rate-limited; API keys unlock higher limits.

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• search_x

  Search X/Twitter for social sentiment on any topic. Returns posts sorted by engagement. Not available via web search — uses X API directly.

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• site_search

  Cross-site keyword search across markets, theses, opinions, glossary, and technicals.

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• stt

  Speech-to-text proxy. Pass base64-encoded audio, get transcribed text.

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• subscribe_forum

  Subscribe to forum channels to receive messages in your inbox.

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• trigger_evaluation

  Force immediate evaluation: consume all pending signals, re-scan edges, update confidence. Use after injecting important signals.

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• tts

  Text-to-speech proxy. Returns audio bytes encoded as base64.

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• update_nodes

  Directly update causal tree node probabilities — zero LLM cost, instant. Use when the agent observes a confirmed fact (e.g. "CPI came in at 3.2%") and wants to reflect it immediately. Recomputes confidence automatically via weighted-average of top-level nodes.

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• update_position

  Update a position: current price, edge, size, status (open→closed). Use to mark positions as closed or update tracking data.

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• update_strategy

  Advanced: Update a trading strategy (stop loss, take profit, status).

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• update_thesis

  Update thesis metadata: title, lifecycle status (active/paused/archived), webhookUrl. Use configure_heartbeat.paused for runtime heartbeat pause/resume.

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• what_if

  Scenario analysis: "what if OPEC cuts production?" Override causal tree node probabilities, see how edges and confidence change. Zero LLM cost, instant.

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• x_account

  Advanced: Recent posts from a specific X/Twitter account.

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• x_news

  Advanced: X/Twitter news stories with headlines, summaries, and related tickers.

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• x_volume

  Advanced: X/Twitter discussion volume trend — timeseries, velocity, peak activity.

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