What can you build with Metera?
Metera is the trust layer for AI agents. Your agent asks for a piece of data, Metera picks the best source, verifies it, and returns it with a trust level and a full trace. When it cannot verify, it refuses instead of handing back a bad number.
Here is what that unlocks.
Find the one that is yours
I'm building a trading agent. How does Metera help?
Your agent acts on prices, thousands of times an hour. A stale or wrong price means a bad trade, filled at machine speed, with no undo. Metera checks each price across independent exchanges, agrees on the number, and hands it back with how much to trust it. Your agent trades on a price four venues confirmed, not one that could be stale. And if the data cannot be verified, Metera refuses, so a broken feed never becomes a bad fill.
I'm building a DeFi or yield agent. What can I verify?
Yield agents reallocate capital based on APYs, TVL, and pool data that changes by the block. A stale APY sends funds to a pool that no longer pays. Metera verifies protocol data before your agent moves liquidity, and tells it how fresh the number actually is. Your agent optimizes on data it can trust, not on a cached number from ten minutes ago.
I'm building a treasury or payments agent. Is that a fit?
Yes. Treasury agents act on balances, and a wrong balance means an overdraft or a payment that should not have gone out. Metera verifies on-chain balances at the source, with the block they were read at, so your agent knows the balance is current. And it never turns a failed read into a zero, which is the trap that tells an agent a funded account is empty.
I'm building an agent that trades tokens. Can Metera flag risky ones?
Metera checks token risk before your agent touches a token. It surfaces what is known: honeypot flags, holder concentration, sniper and bundler activity, and is explicit about what it cannot confirm. A token with one holder and a complete sniper exit gets flagged for what it is, so your agent does not buy into something it cannot sell.
Can two agents trust the same data?
When one agent hands a number to another, the second inherits every unverified assumption of the first. Metera breaks that chain. Each number carries its own trust level and trace, so an agent receiving data knows exactly how much to believe it, regardless of who passed it along.
What arrives with the number
What does consensus actually mean here?
Consensus means several independent exchanges are observing the same price, and they agree. One source can be wrong, stale, or manipulated. Four independent venues agreeing is a different kind of number. Metera reads them in real time, compares them, and tells your agent how tight the agreement is, so it knows whether the number is solid or shaky.
Verification levelsRefusalWhat happens when the data is bad?
Metera refuses. Most tools return something no matter what: a stale quote, a zero, a best guess. For an agent about to act, a confident wrong answer is worse than no answer. When nothing meets the level your agent needs, Metera says so clearly and charges nothing. A refusal costs a moment. A wrong number costs whatever your agent did next.
How refusals workHow fresh is the data?
Every answer carries how old it is, measured at the source, not at the moment Metera fetched it. A price from five seconds ago and one from five minutes ago look identical to an agent until one costs money. Metera makes the age explicit, so your agent can decide whether the number is fresh enough to act on.
Can I see why my agent made a decision?
Yes. Every answer carries a full trace: which sources were considered, what each returned, which one was chosen, and why. When a decision goes wrong, you can reconstruct exactly what number your agent acted on and how much it was told to trust it. Not a black box, an audit trail.
See a traceLevelsWhat does trust level mean?
Every number comes back labeled with how much to trust it: anchored, tied to an on-chain reference; consensus, independent sources agreed; or single source, one source passed the checks. Your agent reads the level in code and branches on it. Act on anchored, flag on single source, refuse below your bar. The number stops being a bare value and becomes a decision your agent can defend.
Verification levelsOriginWas the number measured or calculated?
Metera tells you. There is a difference between a price that was observed and one computed from other numbers, and that difference disappears the moment both are formatted the same way. Metera marks which is which, so your agent never treats a derived estimate as a raw measurement.
ProvenanceThe failures this is built against
My agent acted on stale data and lost money. Can Metera prevent that?
That is exactly what it is built for. Stale data is the quiet failure: it arrives looking fresh, and nothing flags it. Metera carries the true age of every number, measured at the source, so your agent can refuse to act on anything older than its threshold. Stale is as dangerous as wrong, and Metera treats it that way.
How do I stop my agent from trusting a single point of failure?
Do not let it act on one source. Metera routes across multiple independent sources, cross-checks them, and only delivers at a high trust level when they agree. If one source goes down, it falls through to the others. If none can verify, it refuses. Your agent stops depending on any single feed being right.
Source ratingsIndependenceHow do I know the sources are not secretly the same feed?
This is the trap most systems miss: five providers reading the same upstream look like consensus but are one source counted five times. Metera treats source independence as something to test, not assume, and is explicit in every response about what has been established and what is a declared assumption. You get the honest picture, not manufactured confidence.
Source ratingsAuditI need to prove to a regulator why an automated decision was made. Can Metera help?
The trace is built for exactly this. For every number your agent acted on, Metera records where it came from, what level it reached, and when. That record is what turns "our agent made this decision" into "here is the data it acted on, the confidence it had, and the checks it passed." Auditable by design, not after the fact.
See a traceMy data is good enough for testing but I am scared to run it in production. Why?
Because in production, an agent acts on a bad number instantly and irreversibly, and the failure is silent until it is not. Metera is the gate between the data and the action. It verifies before your agent commits, refuses when it cannot, and leaves a trace for when you need to look back. That is the difference between an agent you demo and one you let run on its own.
What it takes to connect
How does my agent connect to Metera?
One line. Metera runs as an MCP server, so agents in Claude, Cursor, and other clients connect directly and start pulling verified data. No SDK to wire up, no custom integration. Your agent gains a new tool that returns data with the trust already attached.
Set up MCPCatalogueWhat can Metera verify today?
Prices across independent exchanges, on-chain balances, protocol TVL, token risk, and more, all returned with a trust level and trace. The catalog grows as agents need more, and every source added follows the same rule: verified and labeled, or refused.
Browse sourcesPricingWhat does it cost?
You pay per verified call. If a check fails and Metera refuses, you are not charged. You only pay for data that passed verification, which means strict settings are free insurance, not a cost.
See pricing