TokenShift
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The control plane for coding agents

TokenShift is where engineering teams and leaders see, govern, and optimize what they run on coding agents. Watch where every token and every change goes, set the policy that keeps it in line across the organization, and reduce waste with the optimization engine on the machine.

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Works across the coding agents your teams already run

  • Claude Code
  • Codex
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Claude Desktop

Coding agents are running your codebase. Nobody is running the coding agents.

They sit in every workflow now - making changes, calling models, spending tokens - and to the people accountable for the organization, the whole thing is opaque. No view of where the effort and the spend go, no policy for what the agents are allowed to do, and no lever to tune any of it. Adoption raced ahead of control.

See it. Govern it. Optimize it.

TokenShift taps into the coding agents your teams already run, and the fleet becomes legible and controllable across cost, governance, productivity, and performance - then reduces waste with the optimization engine, all from one console.

See

Full visibility into every token, change, and agent across the organization.

Govern

Policy you set once and enforce everywhere - not guidance, guardrails.

Optimize

Cut the waste and tune the harness, with no change to how anyone works.

Cost

See exactly where the tokens go.

Every token traced to the team, the project, the repo, and the agent that spent it - and to what it was spent on, from debugging to feature work to tests and formatting.

  • By team, project, repo, and harness, down to a single endpoint.
  • By intent - debug, feature work, tests, refactor, or formatting.
  • Spend and savings side by side, so the net is never a guess.
  • Trends that surface a bill forming before it lands.
Governance

Set the rules. Enforce them.

Decide what your coding agents are allowed to do, and make it stick - budgets, approved models, what may be uploaded, and what must never leave the machine.

  • Budgets and ceilings per team, repo, or environment.
  • Approved models and harnesses, enforced rather than suggested.
  • Guardrails on file uploads, secrets, and sensitive data.
  • Compliance and regulatory policy, audited and exportable.
Productivity

Ensure positive ROI from agents.

Spend is only half the picture. Measure cost against shipped work, solved problems, and cycle time so agent adoption stays tied to real returns.

  • Code written, deleted, and shipped, per team and period.
  • Bugs resolved and tasks completed with agent assistance.
  • Time to solve a problem and time to merge, trending.
  • A productivity index that ties effort to real outcomes.
Performance

Tune the agentic harness.

Make every agent faster and leaner: lower time to first token, fewer turns to a fix, and better cost per outcome, without changing how your engineers work.

  • Time to first token and response latency, at the median and the tail.
  • Turns per session, per fix, and per shipped change.
  • Cost and efficiency measured per outcome, not per call.
  • Improvements applied automatically by the optimization engine.
Optimization

Cut the tokens, automatically.

The optimization engine runs every call through a stack of optimizations on the machine before it reaches a model, so the same work costs less with no change to how engineers work. Each technique can be tuned or turned off, and reports its real effect on your own traffic.

  • Trim stale context the model no longer needs for the step.
  • Drop history the harness already sent instead of paying for it twice.
  • Serve identical and near-identical sub-requests from a local cache.
  • Route simple edits to a lighter model; keep the frontier one for the hard steps.
  • Compress verbose system and tool prompts to a tighter form.
  • Batch and coalesce bursts of small calls so per-request overhead is paid once.

Connect, see, then govern.

  1. Connect your agents

    TokenShift taps into the coding agents your teams already run, hooking into each harness. Nothing changes about how engineers work.

  2. See the whole fleet

    Cost, governance, productivity, and performance become legible across every team, repo, and harness.

  3. Govern and optimize

    Set policy and budgets, enforce them across the organization, and let the optimization engine reduce waste on the machine.

Backed by

AccelIndexSalesforce VenturesEntree Capital
ShevaVesey VenturesPerpetual

Built by PointFive: experts in AI efficiency.