a9n9 Deep Research

Objective-driven deep research: free daily quick search plus MPP-paid cross-source browser reports.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
90%
Qualität der Benennung
80%
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

~1,816Tokens (Tool-Definitionen)
~3.2 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.42% 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": {
    "deep-research": {
      "url": "https://agent.a9n9.net/mcp"
    }
  }
}

Remote-Endpunkte

https://agent.a9n9.net/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (5)

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🟢a9n9_quick_search(query, domain, payer_address)

Free first-level search, limited per day across all callers: current news coverage (100+ languages, 250K+ sources) or scholarly papers (arXiv). Returns structured results immediately with no payment. When the daily quota is exhausted, or when you need live browsing and synthesis across sources, use a9n9_research_quote for paid deep research.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 3,
      "maxLength": 500
    },
    "domain": {
      "type": "string",
      "enum": [
        "news",
        "papers"
      ],
      "description": "news (default): global news articles. papers: arXiv preprints."
    },
    "payer_address": {
      "type": "string",
      "pattern": "^0x[a-fA-F0-9]{40}$",
      "description": "Optional Tempo payer address so free usage counts toward loyalty pricing on paid research."
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢a9n9_research_quote(objective, targetUrl, job_key, payer_address)

Analyze a deep-research objective and return the exact current price, limits, planned start URLs, request hash, expiry, payment requirements, and cloud-browser capabilities without charging or starting a job. targetUrl is optional: omit it and the quote derives and binds a bounded plan of public start URLs from the objective.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "objective": {
      "type": "string",
      "minLength": 10,
      "maxLength": 2000
    },
    "targetUrl": {
      "type": "string",
      "format": "uri",
      "description": "Optional public HTTPS focus hint; when omitted the service plans up to 5 public start URLs from the objective and binds them into the quote."
    },
    "job_key": {
      "type": "string",
      "minLength": 8,
      "maxLength": 128,
      "description": "job_key identifies a research session. Reuse it with a new objective to run a follow-up iteration that references the session's prior results (each iteration is a separate paid job); an identical request retries idempotently. Sessions are referenceable for 7 days, then results are cleared."
    },
    "payer_address": {
      "type": "string",
      "pattern": "^0x[a-fA-F0-9]{40}$",
      "description": "Optional Tempo payer address for loyalty pricing: 10% off after $2.00 of reconciliation-confirmed on-chain spend from that address. Settlement must then come from it."
    }
  },
  "required": [
    "objective",
    "job_key"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "quoteId": {
      "type": "string"
    },
    "requestBodyHash": {
      "type": "string",
      "pattern": "^[a-f0-9]{64}$"
    },
    "tier": {
      "enum": [
        "quick",
        "standard",
        "deep"
      ]
    },
    "rationale": {
      "type": "string"
    },
    "price": {
      "type": "string"
    },
    "currency": {
      "const": "USDC.e"
    },
    "network": {
      "const": "tempo-mainnet"
    },
    "chainId": {
      "const": 4217
    },
    "expiresAt": {
      "type": "string"
    },
    "limits": {
      "type": "object"
    },
    "cloudBrowser": {
      "type": "object"
    },
    "payment": {
      "type": "object"
    },
    "paymentChallenge": {
      "type": "object"
    },
    "walletPayment": {
      "type": "object"
    },
    "nextStep": {
      "type": "string"
    }
  },
  "required": [
    "quoteId",
    "requestBodyHash",
    "tier",
    "price",
    "currency",
    "network",
    "chainId",
    "expiresAt",
    "limits",
    "cloudBrowser",
    "payment",
    "paymentChallenge",
    "walletPayment",
    "nextStep"
  ]
}
⚪a9n9_research_start(objective, targetUrl, job_key, payer_address, notify_email)

Start bounded paid research in a real remotely hosted Browserbase Chromium session with JavaScript rendering, DOM interaction, scrolling, and dynamic-content extraction, followed by gpt-5.6-luna synthesis. targetUrl is optional; without it the quoted plan of public start URLs derived from the objective is executed. Call a9n9_research_quote first when price visibility is needed. The service does not bypass CAPTCHAs, logins, paywalls, access controls, or site terms.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "objective": {
      "type": "string",
      "minLength": 10,
      "maxLength": 2000
    },
    "targetUrl": {
      "type": "string",
      "format": "uri",
      "description": "Optional public HTTPS focus hint; when omitted the service plans up to 5 public start URLs from the objective and binds them into the quote."
    },
    "job_key": {
      "type": "string",
      "minLength": 8,
      "maxLength": 128,
      "description": "job_key identifies a research session. Reuse it with a new objective to run a follow-up iteration that references the session's prior results (each iteration is a separate paid job); an identical request retries idempotently. Sessions are referenceable for 7 days, then results are cleared."
    },
    "payer_address": {
      "type": "string",
      "pattern": "^0x[a-fA-F0-9]{40}$",
      "description": "Optional Tempo payer address for loyalty pricing: 10% off after $2.00 of reconciliation-confirmed on-chain spend from that address. Settlement must then come from it."
    },
    "notify_email": {
      "type": "string",
      "format": "email",
      "description": "Optional: email the completed report to this address from [email protected]. Delivery preference only; not part of the payment-bound request hash."
    }
  },
  "required": [
    "objective",
    "job_key"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "trackerCode": {
      "type": "string"
    },
    "status": {
      "enum": [
        "in_progress",
        "completed",
        "failed"
      ]
    },
    "progressPercent": {
      "type": "integer",
      "minimum": 0,
      "maximum": 100
    },
    "progressStage": {
      "type": "string"
    },
    "quoteId": {
      "type": "string"
    },
    "requestBodyHash": {
      "type": "string"
    },
    "statusUrl": {
      "type": "string"
    },
    "result": {
      "type": "object"
    },
    "error": {
      "type": "string"
    },
    "createdAt": {
      "type": "string"
    }
  },
  "required": [
    "trackerCode",
    "status",
    "progressPercent",
    "progressStage"
  ]
}
🟡a9n9_research_submit_payment(job_key, transaction_hash, payer_address, payment_challenge, notify_email)

Verify a separately broadcast Tempo mainnet push-mode payment and continue the quoted research job. Use the paymentChallenge and walletPayment returned by a9n9_research_quote, then provide the transaction hash, payer address, and same job_key.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "job_key": {
      "type": "string",
      "minLength": 8,
      "maxLength": 128
    },
    "transaction_hash": {
      "type": "string",
      "pattern": "^0x[a-fA-F0-9]{64}$"
    },
    "payer_address": {
      "type": "string",
      "pattern": "^0x[a-fA-F0-9]{40}$"
    },
    "payment_challenge": {
      "type": "object",
      "description": "Unmodified paymentChallenge returned by a9n9_research_quote."
    },
    "notify_email": {
      "type": "string",
      "format": "email",
      "description": "Optional: email the completed report to this address from [email protected]."
    }
  },
  "required": [
    "job_key",
    "transaction_hash",
    "payer_address",
    "payment_challenge"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "trackerCode": {
      "type": "string"
    },
    "status": {
      "enum": [
        "in_progress",
        "completed",
        "failed"
      ]
    },
    "progressPercent": {
      "type": "integer",
      "minimum": 0,
      "maximum": 100
    },
    "progressStage": {
      "type": "string"
    },
    "quoteId": {
      "type": "string"
    },
    "requestBodyHash": {
      "type": "string"
    },
    "statusUrl": {
      "type": "string"
    },
    "result": {
      "type": "object"
    },
    "error": {
      "type": "string"
    },
    "createdAt": {
      "type": "string"
    }
  },
  "required": [
    "trackerCode",
    "status",
    "progressPercent",
    "progressStage"
  ]
}
🟢a9n9_research_status(trackerCode)

Return milestone progress and the final result for an opaque tracker code.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "trackerCode": {
      "type": "string",
      "pattern": "^trk_[a-f0-9]{32}$"
    }
  },
  "required": [
    "trackerCode"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "trackerCode": {
      "type": "string"
    },
    "status": {
      "enum": [
        "in_progress",
        "completed",
        "failed"
      ]
    },
    "progressPercent": {
      "type": "integer",
      "minimum": 0,
      "maximum": 100
    },
    "progressStage": {
      "type": "string"
    },
    "quoteId": {
      "type": "string"
    },
    "requestBodyHash": {
      "type": "string"
    },
    "statusUrl": {
      "type": "string"
    },
    "result": {
      "type": "object"
    },
    "error": {
      "type": "string"
    },
    "createdAt": {
      "type": "string"
    }
  },
  "required": [
    "trackerCode",
    "status",
    "progressPercent",
    "progressStage"
  ]
}

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