Tickerz MCP

Use when someone asks what is unusual in crypto or US stocks right now, which coins trade far above their normal volume today, or how many are moving at once. Current Tickerz Terminal: all tracked assets with the 24h move, the activity score as score (0-100; score_1h is one hour earlier) and vol_mult (24h volume over the asset's 30-day baseline mean, measured), plus updated_at and breadth. assets

Use when someone asks about one coin or stock: why $X is moving, whether its volume is unusual, how its past spikes turned out, or where it trades. One asset in depth: latest snapshot, scores_30d (30 days of readings, every fourth stored tick, hourly), the open event and the 10 most recent past events with score_at_open, peak_score and receipts, and venues: where it trades (spot, perpetuals, futur

Use when someone asks what usually happens after a spike like the one an asset shows today, or whether moves like it tend to fade. What historically happened after a move like this asset's current one. Uses 3,213 crypto attention spikes on 175 coins since 2022, found with the live score's formula, matched on direction, size of move and how many other coins are unusual right now: the median, spread

Use when someone asks how past attention spikes turned out, or wants a track record they can check, losses included. Closed events, newest first, each with its 24h, 7d and 30d receipts (forward return, or null until due; benchmark is BTC for crypto and SPY for stocks, with benchmark_ret_pct over the same window), score_at_open, peak_score and the driver with its source. Each event carries symbol (

The referee's questions still waiting on their answer: one on-chain attention question per crypto event, "$SYM reads 40 or more at <event open + 24h> UTC", answered at_or_above (40 or more) or below (Under 40). Each carries the score and volume multiple at open, the three nulls frozen at creation (base rate: the share of past crypto events that read 40 or more 24 hours after open; persistence: the

One question by id, open or resolved: the statement, the nulls, Tickerz's answer, the crowd split once answers have closed, the outcome (the first stored Activity score at or after the resolve time; void when none lands within 3 hours) and who was right. proofs[] holds each OpenTimestamps proof: the question's canonical_json at once, each hourly answer batch's once answers close; sha256(canonical_

The Arena: predict the number an index lands on. Each index that takes calls has one open question on its next period ("$MINTS for Sep 24. Forecast the number."), with the level it is called against, the forecast count and when forecasts close (when the period called begins). recent: closed questions with the Arena number (the points-weighted mean of the top 10 ranked handles that answered, frozen

Two kinds of forecast. 1) Arena (numeric): send question_id as an Arena id from the arena tool (e.g. mints-2026-09-24) or ticker (e.g. MINTS), plus handle (3 to 20 letters, digits or underscores) and value (a number in the index's unit). A handle is claimed by the address that first uses it; the first forecast that stands under a handle returns handle_key, a secret shown once: send it with every l

Use when someone asks how many memecoins launched on pump.fun, what memecoin launchpads earned in fees, how much traded on Kalshi and Polymarket, how many Americans filed first jobless claims, how many paid calls wallets made over x402 on Base and what each cost, or what the US jobs number, unemployment rate, CPI or core CPI was when first published, before the Bureau of Labor Statistics revised i

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Use for the history, rules, source and proof of one index named by list_indices (LAYOFFS, YESNO, TRENCHES, MINTS, GIGS, WAGE, JOBS, UNEMP, CPI, CORECPI). JOBS, UNEMP, CPI and CORECPI are monthly, from the Bureau of Labor Statistics: a day's value is the Bureau's figure now, its settlement_value is the first print Tickerz read at release, and a month loaded as history carries a note and no settleme

Use when someone wants to list, write or settle a prediction market on a Tickerz index. A market on the index's next print, ready to paste, for LAYOFFS, MINTS, GIGS, WAGE: question (one sentence, with {strike} left to fill from strikes), period (the next UTC day, or the week ending the Saturday named, that has not begun), strikes (the 10th, 30th, 50th, 70th and 90th percentiles of the last 30 publ

Use when someone wants a number counted that Tickerz does not publish yet, or a market needs a number nobody sells. Send counts (what should be counted, one line, 3 to 160 characters), optionally source_url (where it can be read) and ticker (2 to 12 letters or digits). Tickerz reads the source's terms, then within 48 hours either builds it as a ticker (rule, source, a script that recounts it, the

Use when someone needs to know exactly how a Tickerz index is counted before relying on it: the machine-readable rule (source, query, transform, aggregation, cadence, unit, decimals, precision, revision policy, grade, and settlement rights with the terms page and the quoted clause), its version, and its hash (sha256 of the canonical JSON). settleable says whether a market may settle on it: the sou

Use when a contract, a venue or a person needs the signed Tickerz print for an index: the report (ticker, period, value as a scaled integer with decimals, status provisional, final or corrected, rule version and hash, the provider reads with their snapshot hashes, settleable), its hash, the publisher's Ed25519 signature, the independent recount's co-signatures, and the Solana feed account that hol

Use when a contract, a venue or a person wants every Tickerz oracle feed at once, as on https://oracle.tickerz.com: per index the newest signed value and its period, status (signed, recounted, final, corrected or disputed), how often it is signed, whether a market may settle on it and why, how many reads must agree, the rule version and hash, and its feed account on Solana. live says whether the S

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Public Sigma-1 methodology as text (same disclosure as https://tickerz.com/methodology). No proprietary parameters. The text content is Markdown; structuredContent carries the same text as JSON (model, url, markdown, and its sections as heading and text) for clients that parse JSON.

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