Signalis for Openclaw

Signalis provides real-time global intelligence and AI-business narrative tracking for autonomous agents using pay-per-call blockchain payments.

jcislo
v1.0.0
Jul 10, 2026
0
478
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install signalis

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install signalis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Signalis?

Signalis is an intelligence and narrative tracking system designed specifically for autonomous AI agents. Spun out of moltalyzer and integrated into Openclaw Skills, it features two distinct operational layers. The first, Master Intelligence, aggregates and cross-analyzes 14 global signal sources (including prediction markets, macro data, GitHub trends, and social chatter) every four hours. This analysis is synthesized into a structured digest containing executive summaries, cross-domain insights, active signals, and sentiment scores.

The second layer, Pulse, tracks active AI-business narratives, mapping their momentum, lifecycle stage, driving sources, and underlying raw content items. Operating on a compute-first, settle-after model, Signalis charges on a strict pay-per-call basis using the x402 V2 payment protocol on the Base Mainnet. This ensures developers and agents only pay for successful queries, offering a predictable and frictionless data layer for next-generation agentic workflows.

Signalis Use Cases

  • Market Awareness and Sentiment Tracking: AI agents can leverage this component of Openclaw Skills to monitor cross-domain shifts across social chatter, macro data, and prediction markets.
  • Trend & Narrative Intelligence: Track the lifecycle and momentum of emerging AI-business narratives to guide decision-making, content generation, or investment algorithms.
  • Automated Research Pipelines: Feed highly synthesized, four-hour cadence digests into autonomous multi-agent systems to ensure they remain grounded in current real-world events.
  • Zero-Auth Agent Micropayments: Implement pay-per-use data retrieval workflows without managing API keys, sign-ups, or credit card billing.

How Signalis Works

  1. Intelligence Aggregation: Every 4 hours, Signalis scrapes and ingests data from 14 distinct signals, including GitHub trends, FRED, and crypto markets.
  2. Synthesis & Modeling: An LLM processes the aggregated feeds to extract narratives, sentiment, and cross-domain insights.
  3. Free Discovery & Verification: Agents query free endpoints like /v1/intelligence/index or /v1/intelligence/latest to check for updates and preview the response schema before committing to paid queries.
  4. Payment Negotiation: To access historical databases or deep Pulse narrative metrics, the agent issues a request, receives an HTTP 402 Payment Required response with x402 headers, signs an EIP-3009 USDC transaction on Base, and retries with the payload signature.
  5. Data Delivery: Signalis verifies the on-chain signature, processes the request, and returns the requested intelligence feed.

Signalis Setup

To begin using Signalis with Openclaw Skills, point your integration to the canonical API endpoint: https://api.signalis.dev.

You can query free endpoints directly using standard HTTP clients:

curl https://api.signalis.dev/v1/intelligence/latest

For paid routes ($0.01 - $0.03 per call), install the official x402 fetch wrapper to handle on-the-fly signing and retries:

npm install @x402/fetch viem

Then initialize the client in your agent's codebase:

import { wrapFetchWithPayment } from "@x402/fetch";
import { createWalletClient, http } from "viem";
import { privateKeyToAccount } from "viem/accounts";
import { base } from "viem/chains";

const account = privateKeyToAccount(process.env.PRIVATE_KEY as `0x${string}`);
const wallet = createWalletClient({ account, chain: base, transport: http() });
const fetchWithPay = wrapFetchWithPayment(fetch, wallet);

// Fetch active AI-business narratives for $0.01
const narratives = await fetchWithPay(
  "https://api.signalis.dev/v1/pulse/narratives"
).then((r) => r.json());

Signalis Data Schema & Taxonomy

API Endpoint Directory

Endpoint Path Type Price (USD) Return Format / Object Fields
/v1/intelligence/index Free $0.00 Contains id, updatedAt, and nextExpected fields to track digest cadence.
/v1/intelligence/latest Free $0.00 Returns the complete Master Intelligence digest: narratives, signals, crossDomainInsights, and a full markdown analysis.
/v1/intelligence/sample Free $0.00 Sample digest (8+ hours old) with identical structure to live outputs for contract testing.
/v1/intelligence/history Paid $0.03 Array of past Master Intelligence digests with processing metadata and historical createdAt fields.
/v1/pulse/narratives Paid $0.01 List of active narratives, including properties like id, title, summary, stage, and momentum.
/v1/pulse/content/recent Paid $0.02 Scraped raw source items gathered across the preceding 4-hour window.

Machine Metadata Discovery Paths

Openclaw Skills can locate self-documenting service configurations at these endpoints:

  • /openapi.json: Full OpenAPI 3.1 schema specification.
  • /.well-known/x402: Payment manifest outlining endpoints and pricing.
  • /.well-known/agent-card.json: Machine-readable agent-to-agent communication card.

Signalis Advanced Features

  • Compute-First Billing: No charges are applied for request errors, system failures, or service unavailability, ensuring predictable agent operations.
  • x402 Protocol Support: Integrates directly with standard x402 wallets on the Base network for trustless, peer-to-peer data purchasing without API keys.
  • Polled Cadence Optimization: Agents can poll index endpoints for free to check the current generation status, optimizing paid requests only for fresh data updates.
  • Dual-Surface Architecture: Combines global cross-domain intelligence digests (Master Intelligence) with localized narrative cluster tracking (Pulse) in a single service layer.

SKILL.md


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