Token Command Center

Recent threshold alerts (revenue deterioration, emission acceleration, unlock cliffs, flow flips).

The whole Book in about 1.5 KB: freshness and caveats, verdict and lens mix, biggest 30-day revenue movers, highest health, latest high alerts, plus a plain-text version. Use for market-wide questions.

Upcoming dated catalysts (unlocks, emission steps, votes, launches) across the Book, soonest first, at most 20. Optional token slug and horizon in days (default 30, max 180). Text is analyst notes.

Token counts per category.

Two to six tokens side by side: price, valuation, revenue and its 7/30-day change, holders revenue, net-flow yield, P/S, unlocks, health with six pillar scores, verdict, lens, and any frozen-price or old-scorecard flags. Accepts slugs or unambiguous symbols.

Newest markdown scorecard for a slug (clipped). Long; prefer tc_get_token unless the user asks for the write-up.

One token's full scorecard (about 8 KB): six pillar scores, the stat grid with a provenance tag per figure, ARR change over 1D/7D/30D/1Y, 30-point history, revenue basis, analyst facts, lens, links, gaps, and this token's alerts and source conflicts. Use only when tc_get_token_digest lacks what the user asked for.

One token in about 1 KB: latest price, valuation, revenue and flows, 7- and 30-day changes, health score with its six pillar scores and verdict, supply unlocks, lens, and data-quality counts. Prefer this over tc_get_token.

Prediction ledger tallies: open and graded call counts, next grading date, calls by side. Counts only; individual calls are not published.

Page through scored tokens with optional filters. Sorts: health, mcap, revenue, net_flow, ps, unlock_30d, alerts, name.

Biggest movers: kind=movers ranks 30-day revenue change against price change (divergence); kind=momentum ranks a 14-day composite of revenue, net-flow yield and health changes. Up to 8 up and 8 down. Rows marked base_effect started from almost zero.

Turn a symbol, $cashtag, name or slug into Token Command Center slugs. Returns exact (one slug) or ambiguous=true with every candidate when tokens share a symbol (e.g. POL); never guess between them. Call before a digest when the user names a token.

Screen the whole Book (all scored tokens) and get compact ranked rows. Filters: lens (long, short, no-edge), verdict (Real, Mid, Theater), tier, category, flow_model (comma-separated for several), stale, query; numeric ranges via min/max objects, e.g. {"min": {"health": 60, "arr": 1000000}, "max": {"ps": 20}}. Fields: alerts, arr (annualized revenue, USD), arr_30d (ARR change over 30 days, %), arr_7d (ARR change over 7 days, %), category, conflicts, date, fdv, flow_model, health (0-100 health score, set when the scorecard is written), health_change, holders_rev (annualized revenue to holders, USD), lens (long, short or no-edge), mcap, name, net_flow (holders revenue minus emissions, USD/yr), nf_yield (net flow / market cap, %), pct_unlocked, price, price_frozen_days, ps (market cap / annualized revenue), scorecard_age_days, stale, symbol, tier, unlock_30d (% of supply unlocking in the next 30 days), verdict (value accrual: Real, Mid or Theater). Tokens with no value for a ranged field are excluded, never counted as zero.

Find slugs by symbol or name before calling tc_get_token_digest.

One token's history as chartable series from TCC's daily snapshots (since 2026-06-09). Each metric returns `summary` {first, last, change_pct, min, max} first — answer trend questions from it — then at most 60 points (weekly by default). Frozen price feeds are null, not flat. Metrics: price, mcap, fdv, ann_fees, ann_revenue, ann_holders_rev, net_flow_usd, ps_ratio, health_score, ann_emissions_usd, circ_supply, total_supply, pct_unlocked, daily_fees, daily_revenue, daily_holders_rev, price_llama (daily_* and price_llama are DefiLlama, years deep; the rest are TCC snapshots).

Freshness, size and source-agreement stats of the token universe. Call first; quote generated_at.