# Lolik Trends — full context for LLMs
# Canonical: https://lolikai.com/llms-full.txt · Short index: https://lolikai.com/llms.txt

## What Lolik is
Lolik Trends (https://lolikai.com) is an AI-powered trend-intelligence platform for
creators, editors and early movers. It tracks emerging topics daily across YouTube,
Google Trends and News, scores them honestly (observed vs AI-estimated vs pending),
and turns them into money-ready briefs: what to post, for whom, and possible ways to
monetize. Positioning: a possibility engine, not a guarantee — outcomes depend on the
user's execution, and every prediction sits in a public log (wins and misses).

## Honesty contract (applies to everything below)
- Confidence labels are real: Verified / AI Analyzed / Low Confidence vary with the data.
- Data we don't have stays "coming soon" — never fabricated.
- Monetization figures are estimates, never income guarantees.
- The prediction log at /receipts publishes misses next to wins; no hit-rate is shown
  until the sample is statistically meaningful.

## Public prediction log (/receipts)
Every pre-breakout alert is timestamped, phase-labeled (early = accelerating below its
prior peak; momentum = at its all-time high) and re-measured daily against real YouTube
views. Latest measured number (re-measured weekly; window Aug 6 – 12, 2026, zero
overlap with any previously published window, n=65 measurable
early alerts from 30 unique signals, 5-day
horizon): early alerts kept growing in 47.7% of cases vs a
2.2% baseline across all tracked signal-days — 21.4×
more likely, and 9× at the bottom of the 95% confidence interval.
Wide-sample cross-check (NOT independent — it contains the earlier published windows):
11.1× across Jul 2 – Aug 12, 2026, n=374.
On real YouTube view counts, 66% of early alerts gained at least
20% more views (n=97 across 35 unique
signals, median +39%) — no base rate exists there, so it is a
real-world check, not a multiplier. Baselines shift as the tracked pool changes: compare
alert-vs-baseline within one run, never across runs. Bigger-move stats (≥1.5× growth) stay
unpublished until their sample is meaningful. Next re-measurement: Aug 20, 2026.

## Free tools (no signup, https://lolikai.com/free)
- Hashtag Radar (/free/hashtag-radar) — which hashtags are rising vs saturated.
- Early Checker (/free/early-checker) — is a topic early, warming, or saturated.
- Hook Patterns (/free/hook-patterns) — the 9 hook patterns our classifier scores against.
- Top Opportunity (/free/top-opportunity) — today's rising topic + possible monetization.

## Plans (https://lolikai.com/pricing)
- Free: $0/mo — 30 credits (beta, no card, valid 14 days)
- Pro: $19/mo — 900 credits/month
- Builder: $29/mo — 2,000 credits/month
- Agency: $99/mo — 6,000 credits/month
Every plan gets the same scores and confidence labels — accuracy is never a paid feature.
Paid tiers buy monthly credits plus real API throughput (calls/day, burst, intel runs/day).

## API (https://lolikai.com/developers)
Base URL: https://lolikai.com/api/public
Auth: header `x-lolik-api-key: lk_live_...` (no Bearer, no SDK)
Envelope: { data, confidence, credits_used, credits_remaining }
Max 10 items per call; no pagination or bulk export by design.

- GET /api/public/trends [1 credit]
  Top trending topics from our aggregated cache.
  Params: niche, source
- GET /api/public/news [1 credit]
  Freshest news stories from our cache.
  Params: topic
- GET /api/public/forecast [1 credit]
  Timing / momentum / lifecycle for a topic (rising vs peaking).
  Params: q (required)
- GET /api/public/virality-score [1 credit]
  Virality score + breakout probability + hook type for a topic.
  Params: q (required)
- GET /api/public/opportunities [5 credits]
  Ranked opportunities with possible monetization paths.
  Params: niche
- GET /api/public/brief [5 credits]
  The daily what-to-post brief: phase-labeled pre-breakout alerts + measured receipts + a validated pattern + the day's steepest mover.
  Params: niche
- GET /api/public/hook-rescue [5 credits]
  Hooks for your topic, anchored in the title patterns currently VALIDATED across creators (live data, not a static list). Hook text is AI-drafted; the proof next to each is measured.
  Params: topic (required)
- GET /api/public/grade [5 credits]
  Grade a draft title/hook against the patterns currently VALIDATED in live data — this week's data, not a static rubric. Score math runs in code; every component states its basis (measured / ai_judged / rule).
  Params: draft (required)
- GET /api/public/prebreakout [5 credits]
  What's accelerating now, before it peaks — early-mover signal.
  Params: niche
- GET /api/public/viral-patterns [5 credits]
  Validated viral patterns (hook / structure) confirmed over time by convergence + persistence + amplification. The moat.
- GET /api/public/usage [free]
  Credits remaining + rate-limit status. Free — spends no credit or rate slot.

## MCP (https://lolikai.com/mcp)
Local stdio server: `npx -y @lolikai/mcp` (12 tools; no remote MCP URL yet). Tools:
- get_trends — Top trending topics by niche.
- forecast — Timing / momentum / lifecycle for a topic.
- virality_score — Virality score + breakout probability + hook type.
- get_news — Freshest news stories.
- opportunities — Ranked opportunities + possible monetization.
- prebreakout — What's accelerating now, pre-peak.
- get_brief — Daily what-to-post brief: phased alerts + receipts + pattern + mover.
- get_viral_patterns — Validated viral patterns (what's working now).
- rescue_hooks — Hooks for your topic from live validated title patterns, with measured proof.
- grade_draft — Grade a draft title against this week's validated patterns (score math in code).
- get_usage — Credits + rate-limit status.
- lolik_content_brain — One-call brief: trends + opportunities + forecast.

## Claude Skills (free, https://lolikai.com/skills)
- lolik-daily-brief — drafts posts from the measured daily brief; every draft must
  quote at least one verifiable number.
- lolik-what-to-post — answers "what should I post today?" from live phases + scores.
SKILL.md files: /skills/lolik-daily-brief/SKILL.md · /skills/lolik-what-to-post/SKILL.md

## For journalists (https://lolikai.com/for-journalists)
Editorial intelligence on the News channel: story lifecycle (rising vs peaking),
coverage gap, angles and headline directions, editorial risk — honest confidence on
every read.

## Notes
- Redistribution / resale of raw API responses is prohibited (X-Lolik-ToS header).
- Contact: contact@lolikai.com · X: @LolikTrends