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Mangrove Signal Match
x402
Mangrove Signal Match is a paid API for AI agents from api.mangrovedeveloper.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-04).
Finds the top-k matching trading signals or rules from a library based on a natural language description, optional intent context, and market regime direction.
Price / call$0.01
Success—
StatusUnknown
How this service works
Developer references for Mangrove Agent, API contracts, MCP and AI integrations.
Output
Returns a ranked list of up to top_k matching signals (TRIGGER or FILTER type), each with a similarity score and signal metadata, filtered to those exceeding the similarity_threshold. Useful for routing agent decisions to the most relevant pre-defined trading signals or rules.
Example use cases
Momentum entry signal discovery
“Search Mangrove's signal library for the top 3 TRIGGER signals that best match 'buy when price breaks above 20-day high with strong volume' in a bullish regime, with a minimum similarity of 0.5.”
Risk filter signal for bearish markets
“Find me the top 5 FILTER signals that match 'reduce position size when volatility spikes and trend is down' in a bearish market regime — I want to wire them into my risk management agent.”
Intent-driven signal routing for agent
“I have an extracted user intent for a mean reversion strategy — can you match it against Mangrove's signal library as a TRIGGER with top_k set to 7 and similarity threshold of 0.35, so my agent knows which signals to activate?”
Technical details
Endpoint
POSThttps://api.mangrovedeveloper.ai/api/v1/signals/match?utm_source=zero.xyzWhen to prefer
Use this endpoint when an AI agent needs to map a natural language trading strategy or rule description to a pre-existing library of signals, particularly when the agent must dynamically select which Mangrove triggers or filters to activate based on user intent or market regime. Prefer this over manual signal selection when the signal space is large and fuzzy matching is needed.
Side effects
- No matches found if similarity_threshold is set too high relative to available signals
- Invalid role enum value (must be TRIGGER or FILTER) causes validation error
- Empty or vague description may return low-quality or zero matches
- Malformed user_intent object may be ignored or cause a 400 error
- top_k exceeding available signals returns fewer results without error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| role | string | Signal role |
| top_k | integer | Number of matches to return |
| description | string | Natural language description of the desired signal/rule |
| user_intent | object | Optional intent dict (e.g., from intent extractor) |
| regime_direction | string | Market regime band |
| similarity_threshold | number | Minimum similarity score to include |
Tags
x402
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