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Everyone is building agents.Who's keeping track?

Octic keeps one live map of every AI agent, MCP server, coding agent, and package you run, built from your APIs, your network traffic, and sensors on each host. Every one gets an owner and a trust state.

Found below the API. An API-only inventory never lists it.

The map, in cross-section

Every AI thing at a sample company, by the layer that found it: API, network, or a sensor on the host.

Look below the API

API-only tools stop at the first row. Tap a depth to see what they miss.

  1. API connections5

  2. Network traffic+3

    Under the surface, 1 more. Choose + network to look.

  3. Kernel sensors+8

    Under the surface, 6 more. Choose + kernel to look.

Find the AI that API-only tools miss

Octic reads your cloud and SaaS APIs, watches network traffic, and runs kernel-level sensors on Linux and Windows hosts. Each layer finds AI the one above it can't see, and all of it lands on one map.

  1. API connections5 foundsupport-triage-agentmcp-jiraAnthropic APIOpenAI APIpayments-api
  2. Network traffic+3 foundinvoice-extractormcp-postgres-prodmcp-filesystem
  3. Kernel sensors+8 foundeng-ws-14WIN-ENG-07ip-172-31-67-241Claude CodeCodexAnthropic SDK 1.3.0openai 1.51.0shadow-summarizer
  4. An API-only inventory stops at 5.16 of 16 on the map

Decide what's trusted, and who owns it

Octic-managed policies with enhanced protections apply from day one, and you can add your own. An ownership engine works out who owns each node, level by level. Anything it can't place shows up with no owner.

10approved3unreviewed3flagged

  • CodexFlaggedSigned in with a personal accountNo owner
  • shadow-summarizerFlaggedAn AI agent nobody ownsNo owner
  • mcp-postgres-prodFlaggedMCP server with production database accessNo owner
  • openai 1.51.0UnreviewedModel SDK nobody has reviewedNo owner
  • invoice-extractorUnreviewedReads invoices, awaiting review@finance-ops
  • mcp-filesystemUnreviewedMCP server reading local files@platform

4 of these 6 have no owner. The other 10 nodes are approved and owned.

What did $3,000 of AI coding buy?

Agentic Coding Insights answers from the same sensors. On every host with one, Claude Code and Codex sessions show up on their own: who ran them, the prompt, the repo, and the cost, split by kind of work. More coding agents are coming, and so is the Octic SDK, which will report on the AI agents you build into your own apps.

What Priya's AI coding bought

Priya Raman · Payments · eng-ws-14

$3,012.40
Coding-agent spend, September 2026
214
Sessions
Priya Raman's coding-agent spend in September 2026, by kind of work
Kind of workShareSpend
Feature work$1,684.20
Refactors$512.10
Tests$401.30
Docs$236.80
Debugging$178.00
Claude Code and Codex, reported by the sensor on the host.The sessions
Coding sessions, September 2026
Priya Raman · eng-ws-14214 sessions · $3,012.40
  • Add idempotency keys to the refund endpoint and cover retries

    Claude Codepayments-apiFeature work$41.80
  • Split ledger.ts into posting and reconciliation modules

    Claude Codepayments-apiRefactors$22.15
  • Write integration tests for the checkout currency switcher

    Codexpayments-webTests$12.40
  • Document the webhook signature verification flow

    Claude Codepayments-apiDocs$6.90
Marcus Webb · WIN-ENG-07162 sessions · $1,846.75
  • Why is the staging plan trying to recreate the NAT gateway?

    Codexinfra-terraformDebugging$9.35
    FlaggedPersonal account, not a corporate seat

Every risk gets an owner and a due date

Each risk becomes a finding with an owner, an SLA, and an event history you can export as CSV. An exception needs an admin's approval, and it expires.

Coming late 2026, Octic will draft the fix and name who should approve it. Nothing will change until that person says yes.

Move Marcus to a corporate Codex seat and revoke the personal session Coming late 2026
Status
Awaiting approval
Proposal
rem_142
Risk
Codex session on a personal account
Resource
WIN-ENG-07 · Marcus Webb
Proposed by
Octic
Approver
Lena Okafor · @platform-leads

Preview only. When agentic remediation ships, Lena will approve or decline here.

Start from your question

One map, three ways in. Pick the one that sounds like you.

  • Engineering leaders: what is our Claude Code and Codex spend buying?

    Sessions, prompts, and spend per engineer, split by kind of work: feature work, refactors, tests, docs, debugging, and more.

    On the map: Claude CodeCodexeng-ws-14WIN-ENG-07payments-api

  • Security leaders: is anyone on a personal Codex account?

    Every AI agent, MCP server, and package, including the ones only a network or kernel sensor can see, with its trust state.

    On the map: Codexshadow-summarizermcp-postgres-prodopenai 1.51.0mcp-filesystem

  • Operators and COOs: who owns each AI tool, and what does it cost?

    An owner for every node, the model APIs behind them, and coding spend you can read without a dashboard tour.

    On the map: Anthropic APIOpenAI APIClaude Codesupport-triage-agentinvoice-extractor

Put your own estate on the map

Install a sensor on a Linux or Windows host and coding-agent sessions start showing up, with no extra setup. Connect your APIs and the rest of the map fills in.

Or join the Design Partner Network.