Kytona · TradFi sentiment snapshot
Retrieve TradFi market sentiment data with optional field filtering and compact trading output format.
What it does
Retrieve TradFi market sentiment data with optional field filtering and compact trading output format.
- Fetch real-time market sentiment for trading algorithms
- Retrieve compact trading data for mobile applications
- Filter specific fields for lightweight data consumption
Ideal buyer
Quantitative traders and fintech developers building sentiment-driven trading strategies who need clean, structured TradFi data.
Run this through your governed agent wallet.
- 01Bootstrap AXON once with
npx @axon402/init. - 02Use the AXON runtime MCP tools to
search_x402_servicesorinspect_x402_offerfor this service. - 03Quote, test-buy, then run the governed paid fetch through AXON.
Send this
Prompt for your agent
A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.
Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.
“Get the compact trading format of the TradFi sentiment snapshot with only price and volume fields”
Endpoint request body
The JSON payload your agent sends to the endpoint.
{
"fields": "price,volume",
"format": "compact_trading"
}Advanced HTTP details
For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.
curl fallback
curl https://sentiment-api.kytona.com/v1/snapshot/tradfi \ -H "Content-Type: application/json" \ -H "X-PAYMENT: [signed_payment_envelope]" \ -d '{"fields":"price,volume","format":"compact_trading"}'
Payment & settlement details
Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.
Price & network
Trust & risk
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