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Signalis Pulse AI-Business Narrative Digests
x402
Signalis Pulse AI-Business Narrative Digests is a paid API for AI agents from api.signalis.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).
Returns historical AI-business narrative digests from the Pulse service, supporting poll-based retrieval via a since index parameter
Price / call$0.03
Success—
StatusUnknown
How this service works
Paid ($0.03 USDC via x402). Historical AI-business narrative digests (?since=N). Proxied from the Pulse service. Compute-first / settle-after — you are never charged when Pulse is unavailable or returns an error.
Output
A list of historical AI-business narrative digest entries from the Pulse service, each including at minimum an id and title. Entries are filtered to those occurring after the specified 'since' index. Charged $0.03 USDC only when Pulse is available and returns successfully.
Example use cases
Example prompt
“Pull me the latest AI-business narrative digests from Pulse — everything that's come in after digest index 42.”
Technical details
Endpoint
GEThttps://api.signalis.dev/v1/pulse/digestsWhen to prefer
Use this endpoint when you need to poll for historical AI-business narrative digests from the Pulse service and want a cost-safe pattern where you are never charged on errors or service downtime. Ideal for agentic polling loops that incrementally fetch new digest entries using a cursor-style index.
Side effects
- Pulse service unavailable — no charge incurred, request fails gracefully
- Invalid or out-of-range 'since' integer — may return empty list or error
- Payment failure via x402 protocol — request not fulfilled
- No new digests since the given index — returns empty result set
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"charged": true,
"digests": [
{
"id": 1,
"title": "AI Agent Business Models and Infrastructure Emerge Amid Security and Reliability Concerns",
"summary": "A surge in discussions around AI agent business models emphasizing extreme scale and token efficiency."
}
]
}
}Tags
x402
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