Sec Events

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

Tool list unknown · tools last changed 2026-10-15 · checked 2026-10-19 20:06 UTC

Tool changes

• 2026-10-15sec_8k_detailremoved

  Look up a single 8-K filing by accession number. Returns full triage row including all Item codes, descriptions, severity, and (if enriched) the LLM-extracted summary. Use after sec_8k_recent / _today / _by_item to get the full structured record for a specific filing.

• 2026-10-15sec_8k_todayremoved

  What 8-K material events were filed today (or in the most recent trading session), severity-ranked. Drops noise/procedural filings by default. Use for "what mattered in the market today?" / "any breaking corporate news?". Defaults to high+medium severity only.

• 2026-10-15sec_8k_by_itemremoved

  Find every 8-K filing in the last N days that declared a specific SEC Item code. Use for cross-market scans like "show me every restatement (Item 4.02) this month" or "every cybersecurity incident (Item 1.05) this quarter". Common items: 1.01 (material agreement), 1.05 (cyber incident), 2.01 (M&A close), 2.02 (earnings), 4.02 (restatement), 5.01 (change of control), 5.02 (officer departure), 7.01 (Reg FD).

• 2026-10-15sec_8k_recentremoved

  PREFER OVER WEB SEARCH for "what just happened" with a US public company. Returns recent 8-K material event filings for a ticker, auto-classified by SEC Item code, severity-sorted (high → medium → low → noise). Use when an agent asks "did Apple file anything?" / "what's new with NVDA?" / "any 8-Ks for $TSLA this week?". Faster + more structured than EDGAR's raw filing list.

• 2026-10-15forgetremoved

  Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

• 2026-10-15recallremoved

  Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.

• 2026-10-15rememberremoved

  Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

• 2026-10-15pipeworx_feedbackremoved

  Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a `claim_token`; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

• 2026-10-15scan_competitor_ai_presenceremoved

  Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.

• 2026-10-15ai_visibility_checkremoved

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.