Enrich a candidate
Add a current regime and evidence read before a rule-based candidate reaches a human or another agent.
“Call Draconic after a candidate triggers and attach the conflicts and missing evidence to the review record.”
Call the same Draconic analysis used by the product and MCP from an algo, research agent, terminal, broker workflow, or internal tool—without handing it execution control.
Existing account. Shared credits. Read-only market intelligence.
Ask in your own words
“Where do structure and momentum conflict for NIFTY50 across the supported timeframes?”
The API returns Draconic's final synthesized analysis, coverage metadata, and usage information. It does not expose raw proprietary payloads or place orders.
Multi-timeframe state, strongest evidence, conflicts, and what would change the read.
The response carries source timing so the user can judge recency.
Add a current regime and evidence read before a rule-based candidate reaches a human or another agent.
“Call Draconic after a candidate triggers and attach the conflicts and missing evidence to the review record.”
Ask Draconic to interpret an alert, unusual move, or model disagreement when it occurs.
“When volatility changes abruptly, call Draconic for the current multi-timeframe explanation.”
Route supported market questions to Draconic while your system handles the wider workflow.
“Use Draconic as the market-analysis step inside a larger research pipeline.”
API and MCP share the same Draconic account and credit balance. Coverage and usage checks are free; successful intelligence analyses use one shared credit.
Example request
curl https://api.draconic.ai/v1/agents/ask \
-H "Content-Type: application/json" \
-H "X-API-Key: <your-draconic-api-key>" \
-d '{"question":"Where do structure and momentum conflict?","market":"nse","instruments":["NIFTY50"],"timeframe":"multi-timeframe"}'Connect an existing Draconic account or create one first. Draconic provides analysis only and leaves every trading decision with you.
Open agent access