Fundz Agent API

Dated funding and SEC 8-K events, each linked to the filing it came from.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
80%
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

~973Tokens (Tool-Definitionen)
~925 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.76% 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": {
    "agent-api": {
      "url": "https://api.fundz.net/v1/agent/mcp"
    }
  }
}

Remote-Endpunkte

https://api.fundz.net/v1/agent/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (4)

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🟢events_for_icp(industries, states, min_employees, max_employees, lookback_days, ...)

Find companies matching an ideal-customer profile that have had recent funding or SEC 8-K events, ranked, each with its evidence. Use this to build a list from scratch. `min_signals` filters for companies with several signals at once. Costs 1 unit.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "industries": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "states": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Full state names as stored, e.g. 'California'."
    },
    "min_employees": {
      "type": "integer"
    },
    "max_employees": {
      "type": "integer"
    },
    "lookback_days": {
      "type": "integer",
      "default": 90
    },
    "min_signals": {
      "type": "integer",
      "default": 1
    },
    "limit": {
      "type": "integer",
      "default": 25,
      "maximum": 100,
      "description": "Rows per call. Hard-capped at 100 server-side; values above are clamped, not refused. Page with `cursor` for more."
    },
    "cursor": {
      "type": "string"
    }
  }
}
🟢predicted_next(domain, org_id)

EXPERIMENTAL forecast of what a company may do next (raise, be acquired, acquire), from FundzScore v3. Treat `lift` as a ranking aid only: `base_rate` is a population mean rather than a validated historical rate, and the forward cohorts do not resolve until 2026-10-22 and 2027-02-19. Do not present these as predictions to an end user. Costs 1 unit.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string"
    },
    "org_id": {
      "type": "integer"
    }
  }
}
🟢watchlist_diff(domains, since)

Given a book of up to 400 company domains and a cursor, return ONLY those with new evidence since that cursor. This is the tool to poll daily or weekly rather than re-fetching every company. Costs 0.1 units per company CHECKED — not per company returned — so a quiet week still reflects the work done. Split a larger book across several calls: the request body is capped at 8 KB at the edge, and because pricing is per company checked, two calls of 200 cost exactly what one call of 400 would.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "domains": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 400
    },
    "since": {
      "type": "string",
      "format": "date",
      "description": "The `next_cursor` from your previous call."
    }
  },
  "required": [
    "domains"
  ]
}
🟢why_now(domain, org_id, lookback_days)

Why to contact ONE company right now: dated funding and SEC 8-K evidence, each item linking to its source filing or announcement. Use this when you have a company and need the reason and the proof. Costs 1 unit. `evidence` covers the last `lookback_days` days (default 365, max 1825); `last_event` is ALWAYS the most recent event on record whatever its age, with `within_lookback` saying whether it also appears in `evidence`. So an empty `evidence` with a populated `last_event` means the company is known and simply quiet — widen `lookback_days` to bring it in. `resolved:false` means we hold no such company at all, which is a different answer again. `resolution_confidence` (0-1) says how strongly the resolved name agrees with the domain asked about; treat anything below 0.67 as unconfirmed attribution.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "Any spelling: bare, www., scheme, path."
    },
    "org_id": {
      "type": "integer"
    },
    "lookback_days": {
      "type": "integer",
      "default": 365,
      "minimum": 1,
      "maximum": 1825,
      "description": "Window for `evidence[]`, in days. Clamped to 1825. Does not affect `last_event`, which is never age-limited."
    }
  }
}

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