COMPARISON · HOSTED ML MODERATION

Deterministic text,
not a black-box score.

Hive is a strong hosted ML moderation service — especially for images and video. For the high-volume text path, Filter8 is the deterministic alternative: a verdict you can replay and explain, at flat cost, sub-millisecond, and it keeps nothing after the response.

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100 free calls · no per-call metering · text not sent to a third-party model.

Explainable, not opaque

An ML classifier hands you a confidence number and a shrug. Filter8's verdict is a pure function of (bundle, input) with a reproducible trace of every candidate and veto.

Flat cost at scale

Per-call ML is linear in volume. A single core sustains tens of thousands of messages a second, so high-volume text filtering barely moves the bill.

Sub-millisecond & private

No network round-trip on every message, and no shipping user text — including minors' PII — to a third-party model. Managed keeps nothing after the response.

Hive vs Filter8 — on text

CAPABILITY	Hive Moderation	Filter8
Approach	Hosted ML classifier	Deterministic engine
Cost model	Per call / usage — linear	Flat — marginal cost ≈ compute
Latency	Network round-trip	Sub-millisecond, in-process
Output	Class confidence scores	Verdict + clean_text
Explainable / replayable	Scores	✓ reproducible explain trace
Data residency	Text sent to Hive	Nothing retained after the response
Evasion (leet · homoglyph · spacing · zero-width)	Model-dependent	26 classes, deterministic
Contact / PII (incl. spelled-out)	Varies	Built-in classifiers
Rating-aware (E–M · minors)	—	Per-rating, per-category ceilings
Image / video moderation	✓ core strength	—

Hive is a product of Hive AI. Comparison as of July 2026 based on public information and Filter8's positioning; capabilities and pricing change — verify current details with the vendor before relying on specifics.

WHERE HIVE WINS

Honest about the trade

Hive's real strength is visual moderation — images, video, and audio — plus broad ML models and multilingual reach. If media is your moderation problem, that's Hive's home turf, and a deterministic text engine isn't a substitute. Filter8 is deliberately narrow: the fastest, cheapest, most private path for high-volume text, and it pairs cleanly with a visual service for the rest.

Hive comparison questions

Is Filter8 a Hive replacement?

For the high-volume text path, yes — deterministic, flat-cost, sub-millisecond, replayable. Hive's core is visual moderation, which Filter8 doesn't do; many teams run both.

Why deterministic over ML on text?

Faster, cheaper at scale, private, and fully explainable on the hot path. Send the ambiguous tail to a model async — deterministic core, model escalation.

Does Filter8 do images or video?

No — text only. For media, pair a visual service like Hive; use Filter8 for the high-volume text path.

How does pricing compare?

Per-call ML grows with volume; our marginal cost is compute, so text filtering stays roughly flat. Compare your volume against a per-call rate.

COMPARE MORE

vs Sightengine — moderation API → vs OpenAI — the free classifier → vs Stream & Sendbird — chat-SDK moderation →

Own your text moderation.

Deterministic, explainable, and flat-cost. 100 free calls, no card.

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