arcaeon-meter
Meter your agent tool in 3 lines: keys, monthly caps, usage you can bill from. Pure stdlib. SQLite counts. Keys hashed at rest. No billing infrastructure required.
pip install arcaeon-meter
Why
You shipped a tool agents actually call. Day two you need what every API business needs on day one: per-customer keys, a free tier with a real cap, and a usage record you can invoice from. The usual answer is a gateway product, a billing platform, and an afternoon of webhooks — heavy for a tool that charges cents.
arcaeon-meter is the small version: a keys file, a SQLite counter, and a decorator.
Caps are enforced (a denial is a typed exception, never a silent pass), counts
survive concurrent processes, and export() hands your billing flow exactly what an
invoice run wants.
Use
from arcaeon_meter import Meter
meter = Meter("keys.json")
@meter.metered
def my_tool(query, _meter_key=None): ...
Callers pass their key as _meter_key. Every call is checked against the keys file
and counted against the key's monthly cap. Denials raise MeterDenied with a
machine-readable reason (over_cap, revoked, unknown_key, missing_key) —
catch it and answer however your surface answers.
Prefer explicit control? Same check, no exception:
result = meter.check(key) # -> Allowance | Denied, both truth-testable
if result:
... # result.used, result.cap, result.remaining
else:
... # result.reason == "over_cap", result.used, ...
meter.check(key, record=False) peeks (validates + reports usage) without counting.
Keys
python -m arcaeon_meter keys add --plan free --cap 100 --label alice
# key_id: 3f9a1c2b7d40
# secret: am_Vq... <- shown ONCE, never stored
python -m arcaeon_meter keys list
python -m arcaeon_meter keys revoke 3f9a1c2b7d40
Secrets are random (~192 bits) and stored only as sha256 hashes — leaking
keys.json does not leak keys. Revocation marks the entry (kept for audit) and takes
effect in a running server without a restart (the file is re-read on change). Caps
can live per key (--cap, --unlimited) or per plan (Meter(plans={"free": 100}));
a key with no resolvable cap is denied, not unlimited — the meter fails closed.
Billing handoff
meter.usage(key_or_id) # one key: used / cap / remaining this month
meter.export(fmt="csv") # whole roster for the month, invoice-ready
Export columns: key_id, key_hash, label, plan, used, monthly_cap, revoked, month —
every key appears, zero-usage rows included, secrets never. The Stripe recipe is
deliberately a how-to, not code: at month close, export(month="2026-08", fmt="csv"),
then for each row create an invoice item (used × your unit price, or a flat plan
price with used as the line description) against the customer you mapped when you
minted the key. That's the whole integration; this library stays out of the money path
on purpose.
Map customers on key_hash, not key_id. key_id is a 12-hex display prefix —
48 bits, so two keys can share one (see the honesty section). key_hash is the full
sha256 that counts are keyed on: unambiguous, stable, and the same one-way hash already
sitting in keys.json. It is not a secret and cannot be reversed to one; plaintext
secrets still appear nowhere.
HTTP in one line
app.add_middleware(meter.asgi_middleware()) # FastAPI / Starlette / any ASGI
Checks Authorization: Bearer <key>, answers 401 (missing/unknown/revoked) or
429 (over cap, with X-Meter-Cap / X-Meter-Used headers) with a JSON reason,
and stashes the Allowance at scope["arcaeon_meter"] for your handlers. It speaks
raw ASGI — no framework import, nothing extra to install.
What it bills, stated plainly (since 0.1.2): OPTIONS is not metered — a CORS
preflight is the browser asking whether it may call, and it carries no Authorization
header, so metering it billed a non-call and answered 401, breaking the handshake it
was inspecting. Every other method including HEAD is billed once at dispatch;
pass meter.asgi_middleware(skip_methods=("OPTIONS", "HEAD")) if a HEAD isn't a call
to you. A request your handler answers 5xx is still billed — the cap has to be spent
before the work runs (that's what makes it a cap, and what makes it atomic across
processes), and refunding would need a negative cost, which is refused by design.
Credit failed calls in your billing flow, where the money actually is.
Metering you can audit (optional)
meter = Meter("keys.json", ledger="usage.log.jsonl") # pip install arcaeon-meter[ledger]
Every grant and denial appends a hash-chained row via
arcaeon-ledger, so the usage record you
bill from is tamper-evident: edit a row mid-history and verify() names the exact
line. When a customer disputes an invoice, you have a chained record, not a mutable
counter. Soft dependency — only needed if you pass ledger=.
The invariant is grants − voids == the billed count, not grants == count. The
ledger and SQLite are two stores and cannot be made atomic cheaply. The grant is
chained inside the transaction, so a failed ledger write rolls the count back (nobody
is billed for a call that raised). The reverse — ledger written, then COMMIT fails
(disk full, I/O error) — leaves a chained row SQLite never accepted, and it can't be
deleted without breaking the chain. So its inverse is chained instead: a meter.void
row carrying reason: "commit_failed". Net the two when you reconcile. If the void
append also fails (the disk that just failed you, failing again), the ledger stays
+cost ahead of the count — which the same netting exposes, and your caller sees the
raised error. That's the whole seam, disclosed.
Concurrency
Counts live in SQLite (WAL mode); check-then-increment runs inside an IMMEDIATE
transaction, so parallel workers neither lose counts nor double-grant the last slot
under a cap. The test suite proves both with two real OS processes contending on one
database.
What it enforces / what it doesn't
Enforces: key validity, revocation, and monthly caps — on every call that goes through the meter.
Doesn't: an in-process wrapper meters what the meter saw. Code that calls your inner function directly bypasses it — the voluntary-path problem, and no library-level wrapper escapes it. Narrow it by metering at your real boundary (the ASGI middleware, if HTTP is your edge). And payment is not included: caps stop over-use, but money moves in your billing flow — this library feeds it and stays out of it. If you need crypto-native machine payments (x402 et al.), that's a different rail; keyed metering is the one that bills today.
And the one that will bite you: the usage DB is state, so treat it like state.
Counts live in SQLite next to the keys file. Delete it, forget to mount the
volume, git clean it, rebuild the container without a persistent path — and
every exhausted budget is full again, silently, because an empty counts table
is indistinguishable from a fresh install. Put the DB on a persistent volume,
back it up with the keys file, and if you want a second copy that can't be lost
this way, run with ledger= — every grant is a chained row you can re-total.
Metering is only as durable as the thing counting.
Fixed in 0.1.2, disclosed because it shipped: through 0.1.1 the usage table was
keyed on the 12-hex key_id. That is 48 bits. Two customers whose key hashes shared
those 12 hex shared one billing row — the busy one's calls invoiced to both, and the
quiet one's cap polluted by traffic it never sent. Birthday odds put that at ~50%
around 16.7M keys, which is inside this product's own "millions of agents" pitch,
not a theoretical footnote. From 0.1.2 counts key on the full sha256; key_id is
display only. Opening an older database migrates it: rows whose prefix matches exactly
one key in your keys file carry over intact (the roster is the whole universe of keys
that could have incremented them), and rows that matched two keys — the merged rows,
the defect itself — cannot be split by anyone, because truncation isn't reversible.
Those are preserved as legacy_truncated_keyspace:<prefix>, kept out of export()
(nobody can be honestly invoiced for a count with an unknown owner), and readable via
meter.legacy_usage(); export on the CLI warns when any exist. Your original table
is kept as usage_pre_0_1_2. If the keys file can't be read, the migration refuses to
run rather than zero out every recoverable count.
Also: only HTTP scopes are metered by the ASGI middleware. WebSocket connections are refused rather than waved through — if you need WS traffic metered, meter the handshake yourself.
MIT. Built by Arcaeon — the evidence layer for AI.
Release files for arcaeon-meter 0.1.3
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| arcaeon_meter-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 144.8 kB
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