ai-finserv-moves

ai-finserv-moves is a command for Claude Code from ololand-ai/ololand-plugins. It costs 50 tokens per session (665 once invoked), scanned A, original, Apache-2.0.

A command for browsing OloNet’s stored intelligence about recent changes in AI financial services, such as launches, partnerships, regulations, pricing, and staff moves.

In plain words
What is it for?
Filtering and displaying recent competitive moves by actor, move type, workflow area, and pagination, with source links, signal strength, summaries, and suggested responses.
Why use it?
It brings relevant, sourced market context into a deal narrative, presentation, or strategy review without searching the whole feed manually.

Command for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: built for openclaw.

Part of the ololand-dd plugin — 22 skills, 52 commands, 3 agents shipped together

Good fit Filtering and displaying recent competitive moves by actor, move type, workflow area, and pagination, with source links, signal strength, summaries, and suggested responses.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/ololand-ai/ololand-plugins/ai-finserv-moves
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/ololand-ai/ololand-plugins

Made for: Claude Code.

Or install ololand-dd, the plugin that ships this one along with the rest of its 22 skills, 52 commands, 3 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-finserv-moves

README.md
[![agentmods](https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/ai-finserv-moves/github.svg)](https://agentmods.dev/commands/ololand-ai/ololand-plugins/ai-finserv-moves)
Your own site
<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/ai-finserv-moves"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/ai-finserv-moves/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-finserv-moves

Your own site · 80×15
<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/ai-finserv-moves"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/ai-finserv-moves.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 665 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.00665
Opus 5 $0.00025 $0.00332
Sonnet 5 $0.00010 $0.00133
Haiku 4.5 $0.00005 $0.00067

Measured 10d ago against content hash cf38d45c5834, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-finserv-moves scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/ololand-dd/commands/ai-finserv-moves.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/ai-finserv-moves

You are reading OloNet's persisted AI financial-services competitive-intel feed. Use this to pull recent context about competitors, partners, or the broader AI-in-finance market into a deal narrative, pitch deck, or strategy review.

Required inputs

None — but the feed is large. Default to a filtered query.

Optional filters:

  • actor — substring match on the actor name (e.g. Anthropic, BlackRock, Sequoia).
  • move_typeproduct_launch, partnership, regulatory, pricing, personnel, etc.
  • workflow_surfacedd, cim, risk, valuation, pricing, etc. — surface the move pertains to.
  • limit — default 50, cap 200.
  • offset — pagination.

Action

Call mcp__ololand__list_ai_finserv_moves with the chosen filters.

Output

Render in reverse-chronological order:

<n> AI finserv moves (filters: <filters>)

<collected_at>  <actor_name>
  Move type:    <move_type>
  Surface:      <workflow_surface>
  Signal:       <signal_strength>
  Source:       <source_url>
  Summary:      <summary or facts excerpt>
  Recommended:  <recommended_response>
...

If the user asks for a deeper look at one move, surface its full extracted_facts JSON and the source-record metadata.

When to use

  • Pre-meeting prep when a competitor or partner is on the agenda.
  • Updating a /compare page when a competitor ships something new.
  • Researching market context for a deal in a competitive segment.
  • Adding live competitive color to a CIM, IC memo, or strategy deck.

When NOT to use

  • For deal-specific intel — use mcp__ololand__research_market or mcp__ololand__deep_market_research. This feed is firm-wide, not deal-scoped.
  • For historical M&A deals — use mcp__ololand__search_ma_deals instead.
  • For real-time breaking news — the feed is gateway-ingested with up-to-14-day freshness; for sub-day signal, route to OloNet directly.

Ingestion is not exposed here

The matching ingest endpoint (POST /api/ma/ai-finserv-moves/ingest) is HMAC-keyed and reserved for the headless OloNet/OpenClaw gateway. There is no MCP write surface for new moves — feed corrections happen at the gateway, not via plugin. If a user sees a wrong move, ask them to flag it and route to the OloNet operator; do not attempt to mutate via MCP.

Read the full file on GitHub · 61 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 61 lines · 50 tokens per session scan A cf38d45c5834

Subscribe to this mod's changes

ai-finserv-moves is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 6d ago), licensed Apache-2.0. It adds 50 tokens to every session and 665 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.