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About platform.openai.com (Developer Tools)
This page provides details about platform.openai.com (Developer Tools) which was ranked #11 out of 162 in the list of sources (4 citations (1.8% share)) in answers from AI models (OpenAI ChatGPT Latest) when they were asked the following 2 questions: "What are the top AI chat monitoring tools in 2025?", "How can I track AI chatbot responses across platforms?" on Dec 24, 2025 by AI Chat Watch. This source is referenced for brands: OpenAI Moderation, Gemini, OpenAI, Google, Anthropic.
Used by AI Models
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Pages from platform.openai.com (5 links)
| URL Path | Citations | Position |
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| /docs | 0 | N/A |
| 0 | N/A | |
| /docs/guides/safety-moderation | 1 | 31 |
| /docs/guides/rate-limits/retrying-requests | 2 | 34 |
| /docs/guides/moderation/overview | 1 | 71 |
Brands Referenced By This Website (5 brands)
| Brand | Voice | Mentions |
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20.8% | 14 |
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17.6% | 15 |
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3.6% | 3 |
| OpenAI Moderation | 3.3% | 3 |
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2.1% | 2 |
Citations from AI Responses
OpenAI ChatGPT Latest
(4 citations)
What are the top AI chat monitoring tools in 2025?
[...] nt Safety — text/image moderation with granular categories: https://azure.microsoft.com/products/ai-services/ai-content-safety - Perspective API (Google/Jigsaw) — toxicity and harassment scoring for user text: https://www.perspectiveapi.com - OpenAI Moderation — safety classifiers for text content: https://platform.openai.com/docs/guides/safety-moderation - Hive Moderation — scalable text/image/video content moderation: https://thehive.ai/moderation - Spectrum Labs — context-aware trust and safety for communities: https://www.spectrumlabsai.com LLM chatbot guardrails and observability (monitor AI chatbot interactions, detect prompt injection, track [...]
How can I track AI chatbot responses across platforms?
[...] - Dialogflow CX (https://cloud.google.com/dialogflow/cx) - Rasa (open source) (https://rasa.com/docs/rasa) - Botpress (https://botpress.com/) 3) Attach model-level telemetry for LLM calls - Persist the provider request ID to correlate failures and measure latency/cost: - OpenAI x-request-id (https://platform.openai.com/docs/guides/rate-limits/retrying-requests) - Anthropic request IDs (https://docs.anthropic.com/en/docs/build-with-claude/reliability#request-ids) - Also store model name, tokens, latency, and cost from the response usage objects where available: - OpenAI API docs (https://platform.openai.com/docs) - Google AI (Gemini) docs (https://a [...]
[...] d (https://platform.openai.com/docs/guides/rate-limits/retrying-requests) - Anthropic request IDs (https://docs.anthropic.com/en/docs/build-with-claude/reliability#request-ids) - Also store model name, tokens, latency, and cost from the response usage objects where available: - OpenAI API docs (https://platform.openai.com/docs) - Google AI (Gemini) docs (https://ai.google.dev/) - Azure OpenAI Service (https://learn.microsoft.com/azure/ai-services/openai/) 4) Pipe events into a centralized store - Open-source observability path: - OpenTelemetry Collector → Elasticsearch + Kibana or Grafana Loki + Grafana - Elasti [...]
[...] na/Metabase; cohort/funnel analysis in Mixpanel/Amplitude. 7) Enforce privacy, safety, and compliance from day one - Redact PII before storage: - Microsoft Presidio (https://microsoft.github.io/presidio/) - Pangea Redact (https://pangea.cloud/redact/) - Safety screening: - OpenAI Moderation (https://platform.openai.com/docs/guides/moderation/overview) - Regulatory references: - GDPR (EU Regulation 2016/679) (https://eur-lex.europa.eu/eli/reg/2016/679/oj) - CCPA (California) (https://oag.ca.gov/privacy/ccpa) - HIPAA (US health data) (https://www.hhs.gov/hipaa/index.html) 8) Optional: use channel aggregators or conversation analytics platf [...]