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Content moderation (I/O safety classify)

Classify user or model text/images for policy violations before acting.

At a glance — Oct 2026

Updated 2026-10-27 · forward this page: /jtbds/content-moderation#brief

Scores as of 2026-09-14 (43 days old; Depot marks scores stale after 30 days). The pick is still Depot's current editorial pick; it has not been re-reviewed since. Prices below carry their own dates.

Depot Pick
OpenAI Moderation · 8.62/10 for this job (curated estimate, high confidence)

pricePerf + dx + reliability. Free OpenAI Moderation is the blunt default; escalate to Guardrails/Llama Guard for custom policy.

Runner-up
Groq · 7.95/10

Scores higher than the pick on: Lock-in risk (higher = worse).

When not to use the pick
Need open Llama Guard classifier with low latency — groq; need programmable multi-step rails — nvidia-nemo-guardrails; need EU-hosted guard models — ovhcloud-ai.
Lock-in / migration
Runner-up Groq has lower stored lock-in risk (5 vs 5.5, 0–10, higher = more lock-in).
Sourced price (usd_per_1k_requests)

Pick's lowest sourced SKU: omni-moderation-latest (moderation endpoint) $0 (usd_per_1k_requests) — source, as of 2026-10-21

Cheapest matching SKU: OpenAI Moderation omni-moderation-latest (moderation endpoint) $0 — source, as of 2026-10-21. The pick is the cheapest.

Price history: first seen 2026-10-21 · last changed no change recorded · history JSON

Free option
No free resource lists this job. A cheap paid SKU is not a free option.
Failure modes to watch
  • Runaway spend: Set a budget and a tool-call cap per task. Alert when spend jumps. Stop the run at the cap instead of summarizing a partial trace as success.
  • Confirmation skip: Gate those tool names on an approval id recorded before the call. A missing approval is a failure even if the downstream tool returns success.
  • Identity confusion: Bind every tool call to a user or tenant id. Refuse the call if that id changed mid-task. For a public bot, the operator owns the words the bot shows.
  • Non-determinism: Run the task more than once and compare the end state, not a single transcript. Record the trial count next to any success rate you cite.
  • Over-refusal: Log refusals separately from successes. Review a sample against the written policy. Do not treat a refusal as a pass, and do not weaken a safety check to raise the pass rate.
  • Policy conflict: If cited sources contradict each other, return the conflict and the URLs. Do not pick a winner silently.
Reported outcomes (submitted reports only)

This job: loading… JSON · reports never change scores · seed/test records excluded

Depot Pick (OpenAI Moderation) on this job: loading… JSON · reports never change scores · seed/test records excluded

Cite: Agent Provider Depot, Depot Pick for content-moderation: openai-moderation, scores as of 2026-09-14. Agents: GET /api/decide?jtbd=content-moderation

All sourced prices, cheapest first · for support agents

Depot Pick

OpenAI Moderation

pricePerf + dx + reliability. Free OpenAI Moderation is the blunt default; escalate to Guardrails/Llama Guard for custom policy.

Pricing (directional): As of 2026-09-14: Free moderation endpoint — omni-moderation-latest for text+images (images ≤20 MB). Also inline moderation on Responses/Chat Completions via moderation.model. Categories include hate, harassment, self-harm, sexual, violence…

Cite: Depot Pick for content-moderation: openai-moderation
Overall
8.6
curated_estimate
confidence: high · as of 2026-09-14
Capability fit
8.2
Price / performance
9.8
Latency / reliability
9.2
Developer & agent DX
9.4
Privacy / data retention
7.5
Lock-in risk (higher = worse)
5.5
Maturity / track record
9.5

Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.

Sources: OpenAI Moderation guide: https://developers.openai.com/api/docs/guides/moderation · Moderation API: https://platform.openai.com/docs/guides/moderation

Default first-pass content filter for agent I/O. Pair with Llama Guard (Groq) or NeMo Guardrails when you need open/custom policies.

Quote for Content moderation (I/O safety classify)

Depot Pick stays OpenAI Moderation. Prices below are sourced SKU rows only (as of 2026-10-27). Input and output are not blended. GET /api/quote?jtbd=content-moderation

Only 1 candidate has a matching USD per 1k requests; nothing was compared, so pickIsPriceWinner is null.

  • omni-moderation-latest (moderation endpoint) usd_per_1k_requests $0 source as of 2026-10-21

4 of 6 candidates have no sourced price row. 5 are excluded from the USD per 1k requests comparison (classifier_request). min sourced per-request classifier/moderation SKU among candidates (an officially free endpoint is a $0 row with its source); chat-token prices are not borrowed; not quality-adjusted

Runners-up

When NOT to use the top pick

Need open Llama Guard classifier with low latency — groq; need programmable multi-step rails — nvidia-nemo-guardrails; need EU-hosted guard models — ovhcloud-ai.

Full ranking (score table)

Ranked with this JTBD's weights. Scores are curated estimates unless marked otherwise. Agents: prefer /api/decide then this table for tie-breaks.

#ProviderOverallFit$/perfLatencyDXAs of
1OpenAI ModerationDepot Pick8.68.29.89.29.42026-09-14
2Lakera Guard8.28.87.88.49.02026-09-14
3Guardrails AI8.28.48.87.88.22026-09-14
4Groq8.07.89.08.28.82026-09-14
5NVIDIA NeMo Guardrails7.98.87.58.07.02026-09-14
6OVHcloud AI Endpoints7.77.28.87.87.22026-09-14

Score methodology for this job

pricePerf + dx + reliability. Free OpenAI Moderation is the blunt default; escalate to Guardrails/Llama Guard for custom policy.

  • capabilityFit: 25%
  • pricePerformance: 18%
  • latencyReliability: 15%
  • developerDx: 15%
  • privacyPosture: 10%
  • lockInRisk: 7%
  • maturity: 10%