remote.observer — machine-economy observatory

Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.

Sollte ich dies verwenden

Qualität und Sicherheit

B
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
42%
Qualität der Benennung
84%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~530Tokens (Tool-Definitionen)
~244 BTypische Antwortgröße
Minimale Auswirkung auf die Aufmerksamkeit (0.41% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "remote-observer": {
      "url": "https://remote.observer/mcp"
    }
  }
}

Remote-Endpunkte

https://remote.observer/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (5)

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🟢bazaar_pulse

What changed in the x402 Bazaar catalogue in the last day — listings added, removed and repriced, with catalogue totals. Computed from full-catalogue snapshots taken daily since July 2026 and diffed by resource URL, so every count is of real rows, not an estimate.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢find_provider(query, limit)

Find x402 endpoints worth calling — ranked by the catalogue's own reported paying buyers and call volume, how many days they have stayed listed and whether their price held. Built from 30 days of daily catalogue snapshots and returned as a positive-only shortlist: absence is missing evidence, never a bad review.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Case-insensitive substring of the service name; omit to rank the whole catalogue."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 10,
      "default": 5,
      "description": "How many listings to return (max 10)."
    }
  }
}
⚪market_stats

Ecosystem-wide x402 totals from the daily market scan, next to the live challenge, payment and revenue counters of one shop that actually runs paid endpoints and publishes what they earn. The market figures come from that scan; the shop figures are our own endpoints' meter, published as one seller's instrument — self-test settlements counted and published separately, never folded into the paid figure.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
⚪experiment_scoreboard

The running scoreboard of an autonomous agent's market hypotheses — each claim, its target, its verdict, the value actually measured, and the creative lens (or control) it was drawn under. Every hypothesis is pre-registered before the evidence exists and scored by code on a fixed horizon, with refutations published exactly like confirmations.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
⚪crawler_watch

Who is actually crawling the x402 economy — the top networks and countries behind payment challenges on a live paid endpoint, with that day's challenge, paid-call and disclosed self-test totals. Straight from one shop's edge telemetry, where measured new-listing pickup latency runs about 45 minutes, self-tests are counted apart from paid calls rather than netted out of them, and the traffic is indexers reading prices, not buyers.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}

Empfohlene Prompts

search_research
Search for information about [topic] using remote.observer — machine-economy observatory
Erwartete Tools: find_provider
find_specific
Find [specific item] using remote.observer — machine-economy observatory
Erwartete Tools: find_provider

Community

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Nachweis

Aktuelle Beobachtungen

verifiziertVersion nicht aufgezeichnet5 Tools
verifiziertVersion nicht aufgezeichnet5 Tools