api.carbon-cashmere.de

142 resources2762ms p50

api.carbon-cashmere.de

Carbon Cashmere is a signal and analytics host targeting crypto trading agents that need pre-processed, model-derived intelligence rather than raw market data. It serves agents making allocation or trade-evaluation decisions by supplying directional signals, anomaly flags, conviction scores, and news sentiment in a unified API surface. Its distinguishing characteristic is the combination of on-chain network health checks (Kaspa BlockDAG, Bittensor TAO) alongside ML signal layers, making it useful for agents that monitor both market conditions and underlying network fundamentals.

Capabilities

Directional Trading Signals

Provides ML-generated long/short/neutral signals and market alerts across crypto assets, giving agents actionable directional bias with probability and confidence metadata before trade evaluation.

fetch-carbon-signal-feedfetch-carbon-market-signals

Bitcoin Conviction Analytics

Delivers a composite BTC-specific conviction score (0–100) with directional bias and a breakdown of contributing signal components, enabling agents to make or justify Bitcoin allocation decisions.

fetch-btc-conviction-score

Market Anomaly Detection

Flags unusual market patterns across crypto assets using ML-scored anomaly events, including RSI deviations, volume spikes, and funding rate anomalies, with severity and feature-level breakdowns.

fetch-market-anomalies

Crypto News and Sentiment

Aggregates recent crypto news articles from multiple sources with per-article sentiment labels and coin tags, allowing agents to incorporate market narrative context into decisions.

fetch-crypto-news

Network Health Monitoring

Returns live infrastructure snapshots for the Kaspa BlockDAG and Bittensor TAO networks, covering block height, hashrate, peer count, sync status, and stake metrics.

fetch-kaspa-network-statsfetch-tao-network-data

Workflows

BTC Trade Conviction Pipeline

Use when an agent needs to build a multi-layered case for or against a Bitcoin position by combining directional signals, anomaly context, and news sentiment before acting.

1
fetch-btc-conviction-scoreRetrieve the composite BTC conviction score and directional bias as the primary decision anchor.
2
fetch-carbon-signal-feedPull the ML directional signal for BTC to confirm or challenge the conviction score direction and probability.
3
fetch-market-anomaliesCheck whether any active anomaly events on BTC (volume spikes, RSI extremes, funding deviations) explain or undermine the signal.
4
fetch-crypto-newsFetch recent BTC-tagged news with sentiment to surface any narrative catalyst that aligns with or contradicts the signal direction.

Altcoin Signal with Anomaly Validation

Use when an agent needs to evaluate a directional signal for a non-BTC crypto asset and wants to verify it is not driven by an anomalous market event before acting.

1
fetch-carbon-signal-feedRetrieve the ML long/short/neutral signal and probability for the target altcoin.
2
fetch-market-anomaliesCheck whether the asset appears in current anomaly detections that could distort the signal's reliability.
3
fetch-carbon-market-signalsQuery recent market alerts (liquidation cascades, confluence events, correlation breaks) for the same symbol to add event-level context.

Kaspa Infrastructure and Signal Check

Use when an agent needs to assess whether Kaspa network health supports or undermines a KAS trading signal before making an infrastructure or trading decision.

1
fetch-kaspa-network-statsRetrieve live Kaspa BlockDAG metrics including hashrate, mempool size, peer count, and sync status.
2
fetch-carbon-signal-feedPull the ML directional signal for KAS to see whether network conditions align with the market signal direction.

Use this host in Claude

Copy the skill below, then add it on claude.ai under Skills → Create skill → Upload.

Machine-readable: skills.json · SKILL.md · manifest.json

$0.00

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0buyers

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All-time context: $23.98 across 570 settlements

Resources (142)

All-time breakdown

Resource	Category	Quality	Tier	Txns	Volume
Signal Backtest API https://api.carbon-cashmere.de/v1/signal-backtest/:var1	Trading	62	host level	—	—
BTC Chart Feed https://api.carbon-cashmere.de/v1/chart/BTC	Analytics	82	host level	—	—

Own api.carbon-cashmere.de? List it with your agent

Paste the prompt below to your coding agent. It runs a real paid test on every route, fixes what scores low, and re-auditions until they pass — the gaps below are already filled in for you.

41 of 142 routes have never been scored — the audition tests them for the first time.
13 routes are scoring below 50 — likely broken, mispriced, or returning the wrong shape.
35 routes are in the 50–74 band — working, but with room to climb.
6 routes are flagged by the verifier as failing or inconclusive.

Paste this to your agent

Make my x402 API at https://api.carbon-cashmere.de discoverable on x402gle. Read the instructions at https://x402gle.com/agent.md and follow them end to end. Install the OpenDexter CLI, then run `npx @dexterai/opendexter audition https://api.carbon-cashmere.de --json`. Heads up: 41 routes have never been scored and 13 routes are scoring below 50 — start there. Read the score and fixInstructions for every route, fix my OpenAPI and endpoints until each route passes, and re-audition until it does. A passing audition lists my API automatically.

New to this? How agent-first onboarding works.

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api.carbon-cashmere.de