TickerDB - Market context for agents
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// MCP + OpenClaw support Market contextfor agents.<br>Connect your agent to pre-computed market context that improves reasoning and reduces token usage.<br>try for free playground<br>No credit card required
$ curl "https://api.tickerdb.com/v1/summary/NVDA" -H "Authorization: Bearer tdb_your_api_key"
"ticker": "NVDA",<br>"trend": {<br>"direction": "strong_uptrend",<br>"duration_days": 34,<br>"ma_alignment": "aligned_bullish",<br>"volume_confirmation": "confirmed"<br>},<br>"momentum": {<br>"rsi_zone": "overbought",<br>"macd_state": "expanding_positive",<br>"divergence_detected": true<br>},<br>"extremes": {<br>"condition": "overbought",<br>"condition_rarity": "rare",<br>"condition_percentile": 7.3<br>},<br>"resistance_level": {<br>"status": "approaching",<br>"distance_band": "very_close",<br>"touch_count": 4<br>},<br>"fundamentals": {<br>"valuation_zone": "undervalued",<br>"growth_zone": "high_growth",<br>"analyst_consensus": "strong_buy"
// smarter context Improve reasoning with actionable context.<br>Before your agent can reason about an asset, it needs proper market context. TickerDB computes the context for you.
raw OHLCV<br>"date": "2024-01-15",<br>"open": 182.16,<br>"high": 184.26,<br>"low": 180.93,<br>"close": 183.63,<br>"volume": 65234100<br>},<br>// ... 200 more rows<br>] LLM has to compute raw data<br>Uses more tokens<br>Not designed for agents<br>Inconsistent reasoning
TickerDB pre-computed, categorical<br>"trend": {<br>"direction": "uptrend",<br>"ma_alignment": "aligned_bullish"<br>},<br>"momentum": {<br>"rsi_zone": "neutral_high"<br>},<br>"volatility": {<br>"regime": "normal"<br>} LLM reads categorical bands it understands<br>Lower token usage<br>Designed for agents<br>Consistent reasoning
// why it works The context your agent needs.
Pre-computed<br>Our data is computed after market close and cached. Zero latency on your request - no indicator math, no delays.
Categorical vocabulary<br>Responses use terms like oversold, uptrend, and deeply_overvalued - the same vocabulary LLMs use to reason about markets.
Fewer wasted tokens<br>A full asset summary is a fraction of the tokens you'd need to pass raw OHLCV. Your model gets more context, not more noise.
Multi-source intelligence<br>Technical, fundamental, and analyst data in one response. No stitching together multiple providers.
Per-asset behavioral context<br>Historical streaks, medians, and percentiles specific to each asset. Your agent knows what's unusual for this ticker.
5 years of queryable history<br>Every categorical field, every day, for 5 years. Just connect and query.
// strongest use cases Built for workflows agents struggle with.<br>TickerDB is strongest when your agent needs actionable market context, historical precedent, or watchlist diffs instead of raw price bars.<br>Watchlist monitoring<br>Track saved assets and pull only what changed with /v1/watchlist/changes. Ideal for daily alerts, portfolio briefings, and autonomous monitoring.
Market scanning<br>Use /v1/search to find oversold names, strong uptrends, rare conditions, or valuation mismatches across the full universe.
Historical precedent<br>Query /v1/summary with field and band to see when a setup last appeared and what happened after.
// state changes Track state changes effortlessly.<br>TickerDB monitors your watchlist. When something meaningful changes, a structured diff is generated. Pull it on demand or get it pushed via webhooks.<br>GET /v1/watchlist/changes<br>"timeframe": "daily",<br>"run_date": "2026-03-28",<br>"changes": {<br>"AAPL": [<br>"field": "rsi_zone",<br>"from": "neutral",<br>"to": "oversold"<br>},<br>"field": "divergence_detected",<br>"from": false,<br>"to": true<br>],<br>"TSLA": [<br>"field": "macd_state",<br>"from": "contracting_negative",<br>"to": "expanding_positive"<br>],<br>"BTCUSD": [<br>"field": "squeeze_active",<br>"from": false,<br>"to": true<br>},<br>"tickers_checked": 12,<br>"tickers_changed": 3<br>} {<br>"timeframe": "daily",<br>"run_date": "2026-03-28",<br>"changes": {<br>"AAPL": [<br>"field": "rsi_zone",<br>"from": "neutral",<br>"to": "oversold"<br>},<br>"field": "divergence_detected",<br>"from": false,<br>"to": true<br>},<br>"tickers_checked": 12,<br>"tickers_changed": 1
Add tickers to your watchlist Track the assets you care about. Stocks, crypto, or both.
TickerDB computes daily diffs After each pipeline run, every tracked field is compared against the prior day. Only assets with at least one change are included.
Your agent reads only what changed No full snapshots to diff yourself. No wasted tokens on data that hasn't moved. Just the fields that shifted, with from and to values your agent can act on.
Tracked fields<br>Momentum rsi_zone macd_state divergence_detected momentum_direction<br>Trend & Volume trend_direction volume_ratio_band accumulation_state<br>Volatility & Extremes squeeze_active extreme_condition breakout_type<br>Fundamentals fundamentals.analyst_consensus fundamentals.analyst_consensus_direction fundamentals.valuation_zone fundamentals.earnings_proximity fundamentals.growth_zone
watchlist docs set up webhooks
// quick start Integrate in minutes.<br>Make your first call in minutes. Drop in our SDK or make direct HTTP calls.<br>openclaw mcp python node go curl<br># Get a full...