# Staking and Governance

Stake [FCTR](/governance/fctr-token.md#fctr) to receive [veFCTR](/governance/fctr-token.md#vefctr), the token that forms the core of Factor's governance. By holding [veFCTR](/governance/fctr-token.md#vefctr), users get access to a range of ecosystem benefits:

* Eligibility to vote on FactorDAO governance proposals (1[veFCTR](/governance/fctr-token.md#vefctr):1vote) and determine the future of the Factor platform
* Power to influence the distribution of emissions rewards via voting for their favourite strategies on [Factor Scale](#factor-scale)
* Revenue sharing perks whereby 50% of Factor platform revenue is automatically disbursed as [FCTR](/governance/fctr-token.md#fctr) to [veFCTR](/governance/fctr-token.md#vefctr) holders

FactorDAO's staking design rewards longer term commitments via leveraging both a staking multiplier as well as an emissions multiplier. The staking multiplier enables [FCTR](/governance/fctr-token.md#fctr) stakers to receive up to a maximum of 1[veFCTR](/governance/fctr-token.md#vefctr):1[FCTR](/governance/fctr-token.md#fctr) by staking for the max duration of 2 years, subject to time-based linear decay of the staking duration. The emissions multiplier rewards longer term stakers by introducing a 2.5x multiplier which is subject to the staking duration, proportion of veFCTR holdings, and strategy liquidity contributions. More info regarding the multipliers can be found on the [veFCTR](/governance/fctr-token.md#vefctr) explainer.

Factor will use single choice voting for regular governance processes while [Factor Scale](/governance/factor-scale.md) rewards will be directed based on a weighted voting process.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.factor.fi/governance/fctr-token/staking-and-governance.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.