Resources
Cohorts & narratives
Algorithmic cohorts
Rebuilt from author metrics and snapshotted daily, with minimum sample sizes and at most 50 members. History uses the membership snapshot as of each moment — never today's membership.
| Cohort | Definition |
|---|---|
Historically Earlyhistorically-early | Authors with a research score ≥ 70 whose calls historically preceded major moves by a median of 12 hours or less (≥ 15 resolved calls). research_score_min: 70 · median_lead_time_max_min: 720 · resolved_calls_min: 15 |
AI Specialistsai-specialists | Authors whose resolved AI calls score ≥ 70 on sector strength (at least 8 resolved AI calls). sector: nar_ai-agents · sector_score_min: 70 · sector_calls_min: 8 |
Gaming Specialistsgaming-specialists | Authors whose resolved Gaming calls score ≥ 70 on sector strength (at least 8 resolved Gaming calls). sector: nar_gaming · sector_score_min: 70 · sector_calls_min: 8 |
High-Consistency Postershigh-consistency | Authors whose weekly hit rates vary little (consistency ≥ 75) across at least 20 resolved calls. consistency_min: 75 · resolved_calls_min: 20 |
High False-Positive Accountshigh-false-positive | Authors where ≥ 60% of resolved calls saw no major move and a negative 3-day return (≥ 15 resolved calls). Tracked as a contrast cohort. false_positive_rate_min: 0.6 · resolved_calls_min: 15 |
Your own cohorts
Group any handles (“AI Builders”, 12 users) and track their collective activity, tokens and convergence. Creating cohorts needs a plan with cohorts (Pro or Team); Team cohorts can be shared with your workspace. Algorithmic cohorts are visible to everyone.
Convergence
A cohort converges on a token when at least max(3, min(5, ⌈15% of the cohort⌉)) distinct members post on it within 60 minutes — 3 for a 12-member cohort, 5 for a 50-member one, so large cohorts can still converge. Each event is recorded once per cohort, token and window and reads like: “7 / 12 users posted on $XYZ within 38 minutes”.
The Smart Cohort score (smart_cohort-v1.0) rates the best convergence in the last 24h: participation 35 pts (members / min(cohort size, 10)), time clustering 25, cohort quality 25 and rarity 15 (how unusual this co-occurrence is historically). Token scores are public, so only auto cohorts feed the Smart Cohort score; your manual cohorts stay private and drive your own convergence events and alerts. Convergence events are also delivered as cohort.convergence stream events and webhooks — for a manual cohort only to its owner (or its team, when shared).
Narratives
Each thesis is classified (narrative-v1.1) by transparent rules, in tiers. First, specific evidence: word-boundary keywords in its text (links stripped) plus the token's identity — words and ticker stems in its symbol and name (“SWORDCAT” → Meme), the token being a tokenized stock or its main pool pairing it against one (Robinhood Chain stock tokens, xStocks …) → Tokenized Stocks, a VIRTUAL pair → AI Agents, and GeckoTerminal's categories for the token. The identity counts as two keyword hits, split across its narratives. If nothing specific matches, a token launched on a memecoin launchpad (pump.fun, bonk.fun, Bags, flap.sh, a launchpad bonding curve) counts as Meme (“launchpad-born”). Ambiguous words such as “pump”, “moon”, “game” or “community” are not read in the text. Theses with no signal at all go to Other. A token's narrative is the vote of its theses up to that moment (a thesis's first narrative counts double), and every token page says which rule fired. Narrative snapshots are taken hourly: theses, authors, new authors, attention share, 24h growth, top tokens and top contributors — which feed rotation (attention-share change) and the narrative × time heatmap.
| Narrative | Covers |
|---|---|
AI Agentsai-agents | Autonomous agents, AI infra and model-linked tokens.Keywords: ai, agent, agents, agentic, llm, gpt, model, inference, autonomous, bot, … |
Gaminggaming | Games, play-to-earn, gaming guilds and metaverse.Keywords: game, gaming, gamefi, play, p2e, esports, metaverse, arcade, guild, quest, … |
DePINdepin | Decentralised physical infrastructure: networks, sensors, storage, bandwidth.Keywords: depin, infrastructure, wireless, sensor, storage, bandwidth, hotspot, gpu network, mapping, iot, … |
RWArwa | Real-world assets: treasuries, credit, commodities, real estate.Keywords: rwa, real world, real-world, treasury, treasuries, bond, credit, commodity, gold, real estate, … |
Tokenized Stockstokenized-stocks | Stock tokens and equity-linked assets (e.g. Robinhood Chain stock tokens).Keywords: stock, stocks, equity, earnings, nasdaq, nyse, s&p, shares, ipo, etf, … |
Consumerconsumer | Consumer apps, social, payments and creator economy.Keywords: consumer, social, app, payments, creator, fan, music, fashion, food, travel, … |
Memememe | Memecoins and culture tokens.Keywords: meme, memecoin, dog, cat, frog, pepe, doge, inu, wif, bonk, … |
Launchpadslaunchpads | Token launch platforms, bonding curves and launch infrastructure.Keywords: launchpad, launch, bonding curve, pump, fair launch, presale, ido, graduation, graduated |
DeFidefi | Exchanges, lending, perps, stablecoins and yield.Keywords: defi, dex, lending, borrow, perp, perps, yield, liquidity, amm, stablecoin, … |
Infra & L1/L2infra | Chains, rollups, bridges, oracles and developer infrastructure.Keywords: l1, l2, layer 2, rollup, chain, bridge, oracle, zk, validator, rpc, … |
Otherother | Theses that match no narrative with enough confidence. |
Endpoints
Example responses use illustrative values ($XYZ, example_rhea, a placeholder address) — not real tokens or authors; every field name and shape is exactly what the API returns. Long sections are collapsed as { … }.
/v1/quant/cohortsAlgorithmic cohorts plus the cohorts you own (or share with your team).
Parameters
| Name | Description |
|---|---|
kindquery · manual | auto | all | Filter by cohort kind.Default all |
kindquery · manual | auto | allFilter by cohort kind.Defaultall
curl "https://fomoquant.app/v1/quant/cohorts?kind=auto" \
-H "Authorization: Bearer $FOMOQUANT_API_KEY"/v1/quant/cohorts/{id}Members, collective activity, tokens, active signals and convergence events.
Parameters
| Name | Description |
|---|---|
idrequiredpath · cohort_… | Cohort id. |
idpath · cohort_…requiredCohort id.
curl "https://fomoquant.app/v1/quant/cohorts/cohort_h3k8m2q9x4v7c1d6b5n0" \
-H "Authorization: Bearer $FOMOQUANT_API_KEY"/v1/quant/narrativesNarrative map: attention share, 24h growth, authors, top tokens and top contributors.
curl "https://fomoquant.app/v1/quant/narratives" \
-H "Authorization: Bearer $FOMOQUANT_API_KEY"/v1/quant/narratives/rotationAttention-share change per narrative.
Parameters
| Name | Description |
|---|---|
windowquery · 24h | 7d | Comparison window.Default 24h |
windowquery · 24h | 7dComparison window.Default24h
curl "https://fomoquant.app/v1/quant/narratives/rotation?window=24h" \
-H "Authorization: Bearer $FOMOQUANT_API_KEY"/v1/quant/narratives/heatmapNarrative × time matrix with raw values and per-row intensity (0–1).
Parameters
| Name | Description |
|---|---|
metricquery · theses | author_growth | Cell value.Default theses |
bucketquery · 1h | 6h | 1d | Column width.Default 1h |
rangequery · 48h | 7d | 30d | Time range.Default 48h |
metricquery · theses | author_growthCell value.Defaultthesesbucketquery · 1h | 6h | 1dColumn width.Default1hrangequery · 48h | 7d | 30dTime range.Default48h
curl "https://fomoquant.app/v1/quant/narratives/heatmap?metric=theses&bucket=1h&range=48h" \
-H "Authorization: Bearer $FOMOQUANT_API_KEY"/v1/quant/narratives/{slug}One narrative.
Parameters
| Name | Description |
|---|---|
slugrequiredpath · slug | Narrative slug, e.g. ai-agents. |
slugpath · slugrequiredNarrative slug, e.g. ai-agents.
curl "https://fomoquant.app/v1/quant/narratives/ai-agents" \
-H "Authorization: Bearer $FOMOQUANT_API_KEY"FomoQuant provides analytics and historical/statistical context, not financial advice or guaranteed predictions.