)
### Product Analytics · openai/gpt-4.1-mini
keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: d85e30b0-0dd7-46d9-900c-7c0cb22273e4
provider_native · failed · firstAttemptId: 829eb19d-0fb0-4d0d-9055-1a7e62188ffd
analysisStatus: analysis_failed · resultAttemptId: 829eb19d-0fb0-4d0d-9055-1a7e62188ffd
- mentionJudgment: unknown
- recommendationJudgment: unknown
Uncertain: Unterminated string in JSON at position 4368 (line 1 column 4369)
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 829eb19d-0fb0-4d0d-9055-1a7e62188ffd
analysis_failed · Observed at: 2026-09-08T06:05:50.138Z · First attempt
requestedSearch: provider_native · used: true · executionMode: native
OpenRouter metadata confirmed provider-native web search.
Error: analysis_failed · Unterminated string in JSON at position 4368 (line 1 column 4369)
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Pendo","domain":"pendo.io","recommendation":"positive","mentionQuote":"Pendo's analytics tool that instantly tracks what drives user engagement, retention, and product success—no manual event tagging needed.","recommendationQuote":"Pendo has been a huge win for us in this time when every dollar counts and efficiency is super important. It’s made collaboration more grounded in tangible objectives and results, and it provides metrics that define what ‘better’ really means.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Amplitude","domain":"amplitude.com","recommendation":"positive","mentionQuote":"Amplitude is a powerful product intelligence platform that will empower your product managers to self-serve and, in turn, allow you to make better and faster product decisions.","recommendationQuote":"Product intelligence is not simply reporting numbers. It’s about helping the business make measurably better decisions.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Whatfix","domain":"whatfix.com","recommendation":"positive","mentionQuote":"Whatfix Product Analytics goes beyond traditional dashboards by analyzing every user journey to reveal the ‘why’ behind the data. Pinpoint friction, fix issues faster, and deliver targeted in-app experiences that boost adoption and retention.","recommendationQuote":"Our Insights Agent analyzes user behavior and application events in real time, delivering clear explanations and tailored recommendations so your team can move faster, smarter, and with confidence.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Google Analytics","domain":"analytics.google.com","recommendation":"positive","mentionQuote":"Google Analytics is our overall pick for product analytics in 2026.","recommendationQuote":"Google Analytics is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"LogRocket","domain":"logrocket.com","recommendation":"positive","mentionQuote":"LogRocket is our overall pick for product analytics in 2026.","recommendationQuote":"LogRocket is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Mixpanel","domain":"mixpanel.com","recommendation":"positive","mentionQuote":"Mixpanel is our overall pick for product analytics in 2026.","recommendationQuote":"Mixpanel is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"PostHog","domain":"posthog.com","recommendation":"positive","mentionQuote":"PostHog is our overall pick for product analytics in 2026.","recommendationQuote":"PostHog is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Heap","domain":"heap.io","recommendation":"positive","mentionQuote":"Heap is our overall pick for product analytics in 2026.","recommendationQuote":"Heap is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"ChurnZero","domain":"churnzero.com","recommendation":"positive","mentionQuote":"ChurnZero is our overall pick for product analytics in 2026.","recommendationQuote":"ChurnZero is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"mParticle","domain":"mparticle.com","recommendation":"positive","mentionQuote":"mParticle is our overall pick for product analytics in 2026.","recommendationQuote":"mParticle is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","
SHA-256: `307ab966b57764ddc7f8a252ba9a8009d2d407f736761cb36dd16736f5bf9d98`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Feature Flags · openai/gpt-4o-mini
keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: 6d6ceff5-1d01-4ec4-9632-ec3f825def67
off · completed · firstAttemptId: 4e691257-96e7-4dc2-867f-39a149f0ab76
analysisStatus: completed · resultAttemptId: 4e691257-96e7-4dc2-867f-39a149f0ab76
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Feature Flags: mentioned · mention: Feature Flags are a powerful tool for managing software features and deployments. · recommendation: — · attemptId: 4e691257-96e7-4dc2-867f-39a149f0ab76
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 4e691257-96e7-4dc2-867f-39a149f0ab76
completed · Observed at: 2026-09-08T06:05:35.479Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature Flags are a powerful tool for managing software features and deployments.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `50f2c358be54909aed7f990b6d7d8b096d50c5c27806912a4769d684eb826cb2`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Product Analytics · openai/gpt-4o-mini
keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: 5ab15ac9-aa9d-48ed-9e93-8cc13958e0f2
off · completed · firstAttemptId: 6b06afab-4ad5-454b-9c58-6b0119d45276
analysisStatus: completed · resultAttemptId: 6b06afab-4ad5-454b-9c58-6b0119d45276
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Product Analytics: mentioned · mention: Product Analytics is a crucial aspect of understanding user behavior and improving product performance. · recommendation: — · attemptId: 6b06afab-4ad5-454b-9c58-6b0119d45276
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 6b06afab-4ad5-454b-9c58-6b0119d45276
completed · Observed at: 2026-09-08T06:05:47.503Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Product Analytics","domain":null,"recommendation":"mentioned","mentionQuote":"Product Analytics is a crucial aspect of understanding user behavior and improving product performance.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `640b72a178649ee1457cab4da0a4176b38539500ae8d976f18de144f5e8da382`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Feature Flags · google/gemini-2.5-flash-lite
keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: 4ebc113e-b3f7-4a98-96b2-0d9e0702dae0
off · completed · firstAttemptId: c8c49cee-00b8-4fa3-9df8-0f9a0dcdcd8e
analysisStatus: completed · resultAttemptId: c8c49cee-00b8-4fa3-9df8-0f9a0dcdcd8e
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Feature Flags: mentioned · mention: Feature Flags · recommendation: — · attemptId: c8c49cee-00b8-4fa3-9df8-0f9a0dcdcd8e
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt c8c49cee-00b8-4fa3-9df8-0f9a0dcdcd8e
completed · Observed at: 2026-09-08T06:05:46.397Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{
"analysisStatus": "completed",
"mentions": [
{
"name": "Feature Flags",
"domain": null,
"recommendation": "mentioned",
"mentionQuote": "Feature Flags",
"recommendationQuote": null,
"firstMentionOffset": 0,
"firstRecommendationOffset": null,
"firstMentionState": "unique",
"firstRecommendationState": "none"
}
],
"unknowns": []
}
SHA-256: `6d346060e85b092bba46e1684aa09c57db313bfc948da3d3e0e27ba0da25cf2e`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Product Analytics · google/gemini-2.5-flash-lite
keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: 1c0fa6b5-f29f-44d1-8898-050b3a7c7cb6
off · completed · firstAttemptId: 966350ea-f392-4fb0-8998-d108009cbe1b
analysisStatus: completed · resultAttemptId: 966350ea-f392-4fb0-8998-d108009cbe1b
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Product Analytics: mentioned · mention: Product Analytics · recommendation: — · attemptId: 966350ea-f392-4fb0-8998-d108009cbe1b
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 966350ea-f392-4fb0-8998-d108009cbe1b
completed · Observed at: 2026-09-08T06:05:51.531Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{
"analysisStatus": "completed",
"mentions": [
{
"name": "Product Analytics",
"domain": null,
"recommendation": "mentioned",
"mentionQuote": "Product Analytics",
"recommendationQuote": null,
"firstMentionOffset": 0,
"firstRecommendationOffset": null,
"firstMentionState": "unique",
"firstRecommendationState": "none"
}
],
"unknowns": []
}
SHA-256: `848c0ad989bb26d0ecb5bfc9f319d02a19ae0e817ad211a7278db240872fd70b`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Feature Flags · openai/gpt-4o-mini
keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: a85cda5a-2526-4938-b13b-ad1aab33c1e8
off · completed · firstAttemptId: 623918b4-6fdb-4fa9-bf5c-1edf43465d9d
analysisStatus: completed · resultAttemptId: 623918b4-6fdb-4fa9-bf5c-1edf43465d9d
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Feature Flags: mentioned · mention: Feature Flags are a powerful tool for managing software releases and enabling continuous delivery. · recommendation: — · attemptId: 623918b4-6fdb-4fa9-bf5c-1edf43465d9d
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 623918b4-6fdb-4fa9-bf5c-1edf43465d9d
completed · Observed at: 2026-09-08T06:06:03.272Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature Flags are a powerful tool for managing software releases and enabling continuous delivery.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `f2fe6c878b421a4105640e5d988e502294061dd241854e42ce6c1221bcde8a4b`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Product Analytics · openai/gpt-4o-mini
keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: c7b9f38d-0d97-4a22-86b7-d7ddeba000a8
off · completed · firstAttemptId: dac3b40f-b75a-44b8-a2db-1f9d41fae7d5
analysisStatus: completed · resultAttemptId: dac3b40f-b75a-44b8-a2db-1f9d41fae7d5
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Product Analytics: mentioned · mention: Product Analytics is a crucial aspect of understanding user behavior and improving product performance. · recommendation: — · attemptId: dac3b40f-b75a-44b8-a2db-1f9d41fae7d5
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt dac3b40f-b75a-44b8-a2db-1f9d41fae7d5
completed · Observed at: 2026-09-08T06:06:11.725Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Product Analytics","domain":null,"recommendation":"mentioned","mentionQuote":"Product Analytics is a crucial aspect of understanding user behavior and improving product performance.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `640b72a178649ee1457cab4da0a4176b38539500ae8d976f18de144f5e8da382`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Feature Flags · google/gemini-2.5-flash-lite
keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: c1edcab9-f83b-42c8-b74b-e753a325284c
off · completed · firstAttemptId: b817cb8a-d2c6-4b16-aa54-dd2d6a8e2156
analysisStatus: completed · resultAttemptId: b817cb8a-d2c6-4b16-aa54-dd2d6a8e2156
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Feature Flags: mentioned · mention: Feature Flags · recommendation: — · attemptId: b817cb8a-d2c6-4b16-aa54-dd2d6a8e2156
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt b817cb8a-d2c6-4b16-aa54-dd2d6a8e2156
completed · Observed at: 2026-09-08T06:06:10.644Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{
"analysisStatus": "completed",
"mentions": [
{
"name": "Feature Flags",
"domain": null,
"recommendation": "mentioned",
"mentionQuote": "Feature Flags",
"recommendationQuote": null,
"firstMentionOffset": 0,
"firstRecommendationOffset": null,
"firstMentionState": "unique",
"firstRecommendationState": "none"
}
],
"unknowns": []
}
SHA-256: `6d346060e85b092bba46e1684aa09c57db313bfc948da3d3e0e27ba0da25cf2e`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Product Analytics · google/gemini-2.5-flash-lite
keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: 996c82f3-42df-4322-bd6a-252bc2f90ba4
off · completed · firstAttemptId: 71774913-d59f-47dc-b509-794f6a4f802a
analysisStatus: completed · resultAttemptId: 71774913-d59f-47dc-b509-794f6a4f802a
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Product Analytics: mentioned · mention: Product Analytics · recommendation: — · attemptId: 71774913-d59f-47dc-b509-794f6a4f802a
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 71774913-d59f-47dc-b509-794f6a4f802a
completed · Observed at: 2026-09-08T06:06:16.275Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{
"analysisStatus": "completed",
"mentions": [
{
"name": "Product Analytics",
"domain": null,
"recommendation": "mentioned",
"mentionQuote": "Product Analytics",
"recommendationQuote": null,
"firstMentionOffset": 0,
"firstRecommendationOffset": null,
"firstMentionState": "unique",
"firstRecommendationState": "none"
}
],
"unknowns": []
}
SHA-256: `848c0ad989bb26d0ecb5bfc9f319d02a19ae0e817ad211a7278db240872fd70b`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Feature Flags · openai/gpt-4.1-mini
keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: dfbba462-d4b5-4144-8d69-96f8bc01d08f
provider_native · completed · firstAttemptId: ea947928-ca00-4b1b-b044-8f4fc6c87e78
analysisStatus: completed · resultAttemptId: ea947928-ca00-4b1b-b044-8f4fc6c87e78
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Feature Flags: mentioned · mention: Feature flags are a powerful way to fine-tune your control over which features are enabled within a software deployment. ([splunk.com](https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai)) · recommendation: — · attemptId: ea947928-ca00-4b1b-b044-8f4fc6c87e78
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt ea947928-ca00-4b1b-b044-8f4fc6c87e78
completed · Observed at: 2026-09-08T06:06:07.723Z · First attempt
requestedSearch: provider_native · used: true · executionMode: native
OpenRouter metadata confirmed provider-native web search.
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature flags are a powerful way to fine-tune your control over which features are enabled within a software deployment. ([splunk.com](https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai))","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `a51cb73372d6bd05df42cc0e8a82352786b4447a619eb17cde246a7d058e5b56`
#### Provider citations
- When and Why To Adopt Feature Flags | Splunk: [https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai]() · `choices[0].message.annotations[0].url_citation.url`
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
- [https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai]()
### Product Analytics · openai/gpt-4.1-mini
keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: 2713f3dd-9000-4378-8f92-36c029d3dae3
provider_native · failed · firstAttemptId: 8371777c-b23e-4b35-b46d-1e02a0d6b58b
analysisStatus: analysis_failed · resultAttemptId: 8371777c-b23e-4b35-b46d-1e02a0d6b58b
- mentionJudgment: unknown
- recommendationJudgment: unknown
Uncertain: Unexpected end of JSON input
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 8371777c-b23e-4b35-b46d-1e02a0d6b58b
analysis_failed · Observed at: 2026-09-08T06:06:14.198Z · First attempt
requestedSearch: provider_native · used: true · executionMode: native
OpenRouter metadata confirmed provider-native web search.
Error: analysis_failed · Unexpected end of JSON input
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Pendo","domain":"pendo.io","recommendation":"positive","mentionQuote":"Pendo's analytics tool that instantly tracks what drives user engagement, retention, and product success—no manual event tagging needed.","recommendationQuote":"Pendo has been a huge win for us in this time when every dollar counts and efficiency is super important. It’s made collaboration more grounded in tangible objectives and results, and it provides metrics that define what ‘better’ really means.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Amplitude","domain":"amplitude.com","recommendation":"positive","mentionQuote":"Amplitude is a powerful product intelligence platform that will empower your product managers to self-serve and, in turn, allow you to make better and faster product decisions.","recommendationQuote":"Amplitude is a powerful product intelligence platform that will empower your product managers to self-serve and, in turn, allow you to make better and faster product decisions.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Mixpanel","domain":"mixpanel.com","recommendation":"positive","mentionQuote":"Mixpanel is a powerful product analytics tool that helps you convert, engage, and retain more users. Build funnels, see top user flows, create cohorts, and more with just a few clicks.","recommendationQuote":"Mixpanel is a powerful product analytics tool that helps you convert, engage, and retain more users. Build funnels, see top user flows, create cohorts, and more with just a few clicks.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"PostHog","domain":"posthog.com","recommendation":"positive","mentionQuote":"PostHog is an open-source product analytics for developers. It helps engineers understand their product usage, automate events, and user data collection.","recommendationQuote":"PostHog is an open-source product analytics for developers. It helps engineers understand their product usage, automate events, and user data collection.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Heap","domain":"heap.io","recommendation":"positive","mentionQuote":"Heap is the only digital insights platform that gives you complete understanding of your customers’ digital journeys, so you can quickly improve conversion, retention, and customer delight.","recommendationQuote":"Heap is the only digital insights platform that gives you complete understanding of your customers’ digital journeys, so you can quickly improve conversion, retention, and customer delight.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"LogRocket","domain":"logrocket.com","recommendation":"positive","mentionQuote":"LogRocket is a frontend monitoring and product analytics platform that combines high-fidelity session replay with technical telemetry to fix bugs and optimize UX.","recommendationQuote":"LogRocket is a frontend monitoring and product analytics platform that combines high-fidelity session replay with technical telemetry to fix bugs and optimize UX.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Whatfix","domain":"whatfix.com","recommendation":"positive","mentionQuote":"Whatfix Product Analytics goes beyond traditional dashboards by analyzing every user journey to reveal the ‘why’ behind the data. Pinpoint friction, fix issues faster, and deliver targeted in-app experiences that boost adoption and retention.","recommendationQuote":"Whatfix Product Analytics goes beyond traditional dashboards by analyzing every user journey to reveal the ‘why’ behind the data. Pinpoint friction, fix issues faster, and deliver targeted in-app experiences that boost adoption and retention.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Countly","domain":"count.ly","recommendation":"positive","mentionQuote":"Countly is an analytics platform to understand and enhance customer journeys in web, desktop and mobile applications. On-premise or in the Cloud.","recommendationQuote":"Countly is an analytics platform to understand and enhance customer journeys in web, desktop and mobile applications. On-premise or in the Cloud.","firstMentionOffset":
SHA-256: `4f79cefc23f91a03c719ac21b593d4f32d650fb324438739c5e022b3fd0b3576`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Feature Flags · openai/gpt-4o-mini
keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: 56894622-d030-4778-bf3c-5a9b70cca4e5
off · completed · firstAttemptId: d30e5a9f-4e39-46c4-8781-634e88b00262
analysisStatus: completed · resultAttemptId: d30e5a9f-4e39-46c4-8781-634e88b00262
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Feature Flags: mentioned · mention: Feature Flags are a powerful tool for managing software features and deployments. · recommendation: — · attemptId: d30e5a9f-4e39-46c4-8781-634e88b00262
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt d30e5a9f-4e39-46c4-8781-634e88b00262
completed · Observed at: 2026-09-08T06:07:08.722Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature Flags are a powerful tool for managing software features and deployments.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `50f2c358be54909aed7f990b6d7d8b096d50c5c27806912a4769d684eb826cb2`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Product Analytics · openai/gpt-4o-mini
keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: 082d6c76-971c-4b96-abd9-10272232c88f
off · completed · firstAttemptId: 21572d72-609f-40ec-9162-fad31d65ceb3
analysisStatus: completed · resultAttemptId: 21572d72-609f-40ec-9162-fad31d65ceb3
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Product Analytics: mentioned · mention: Product Analytics is a crucial aspect of understanding user behavior and improving product performance. · recommendation: — · attemptId: 21572d72-609f-40ec-9162-fad31d65ceb3
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 21572d72-609f-40ec-9162-fad31d65ceb3
completed · Observed at: 2026-09-08T06:07:13.141Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Product Analytics","domain":null,"recommendation":"mentioned","mentionQuote":"Product Analytics is a crucial aspect of understanding user behavior and improving product performance.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `640b72a178649ee1457cab4da0a4176b38539500ae8d976f18de144f5e8da382`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Feature Flags · google/gemini-2.5-flash-lite
keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: ec46bc50-687c-43c0-a2a6-6743bf216885
off · completed · firstAttemptId: 42d9ffa7-f744-49fa-a869-c0e2e508720a
analysisStatus: completed · resultAttemptId: 42d9ffa7-f744-49fa-a869-c0e2e508720a
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Feature Flags: mentioned · mention: Feature Flags · recommendation: — · attemptId: 42d9ffa7-f744-49fa-a869-c0e2e508720a
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 42d9ffa7-f744-49fa-a869-c0e2e508720a
completed · Observed at: 2026-09-08T06:07:02.778Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{
"analysisStatus": "completed",
"mentions": [
{
"name": "Feature Flags",
"domain": null,
"recommendation": "mentioned",
"mentionQuote": "Feature Flags",
"recommendationQuote": null,
"firstMentionOffset": 0,
"firstRecommendationOffset": null,
"firstMentionState": "unique",
"firstRecommendationState": "none"
}
],
"unknowns": []
}
SHA-256: `6d346060e85b092bba46e1684aa09c57db313bfc948da3d3e0e27ba0da25cf2e`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Product Analytics · google/gemini-2.5-flash-lite
keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: 9dfc6241-3c2b-437d-a8b0-9f0557bc501e
off · completed · firstAttemptId: 8a5eeec8-32e5-461f-8040-9c67d9c56507
analysisStatus: completed · resultAttemptId: 8a5eeec8-32e5-461f-8040-9c67d9c56507
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Product Analytics: mentioned · mention: Product Analytics · recommendation: — · attemptId: 8a5eeec8-32e5-461f-8040-9c67d9c56507
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 8a5eeec8-32e5-461f-8040-9c67d9c56507
completed · Observed at: 2026-09-08T06:07:09.628Z · First attempt
requestedSearch: off · used: false · executionMode: unverified
finish_reason: stop
Read the original answer
{
"analysisStatus": "completed",
"mentions": [
{
"name": "Product Analytics",
"domain": null,
"recommendation": "mentioned",
"mentionQuote": "Product Analytics",
"recommendationQuote": null,
"firstMentionOffset": 0,
"firstRecommendationOffset": null,
"firstMentionState": "unique",
"firstRecommendationState": "none"
}
],
"unknowns": []
}
SHA-256: `848c0ad989bb26d0ecb5bfc9f319d02a19ae0e817ad211a7278db240872fd70b`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
### Feature Flags · openai/gpt-4.1-mini
keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: 87e02919-a3e5-42ce-b2da-bae153456de0
provider_native · completed · firstAttemptId: 58019048-c5a6-4b67-af85-c23f0d7450b0
analysisStatus: completed · resultAttemptId: 58019048-c5a6-4b67-af85-c23f0d7450b0
- mentionJudgment: adjudicable
- recommendationJudgment: adjudicable
- Feature Flags: mentioned · mention: Feature flags are a runtime switch in code that turns a piece of functionality on or off without redeploying. ([glossary.deployment.to](https://glossary.deployment.to/feature-flag/?utm_source=openai)) · recommendation: — · attemptId: 58019048-c5a6-4b67-af85-c23f0d7450b0
Uncertain: —
[Actual request and answer evidence](./public-evidence.json)
#### Attempt 58019048-c5a6-4b67-af85-c23f0d7450b0
completed · Observed at: 2026-09-08T06:07:06.429Z · First attempt
requestedSearch: provider_native · used: true · executionMode: native
OpenRouter metadata confirmed provider-native web search.
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature flags are a runtime switch in code that turns a piece of functionality on or off without redeploying. ([glossary.deployment.to](https://glossary.deployment.to/feature-flag/?utm_source=openai))","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `9ff4986b91f6ddf9cf910513b7ec8819746ccc826ff48eb30de7e25d027f0462`
#### Provider citations
- What is a feature flag? Meaning + example - deployment.to: [https://glossary.deployment.to/feature-flag/?utm_source=openai]() · `choices[0].message.annotations[0].url_citation.url`
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
- [https://glossary.deployment.to/feature-flag/?utm_source=openai]()
### Product Analytics · openai/gpt-4.1-mini
keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: 96ab1562-739a-4dac-8b68-982d788e10c9
provider_native · failed · firstAttemptId: e2716c84-de3a-491a-83cb-6f63765dd862
analysisStatus: analysis_failed · resultAttemptId: e2716c84-de3a-491a-83cb-6f63765dd862
- mentionJudgment: unknown
- recommendationJudgment: unknown
Uncertain: Unterminated string in JSON at position 4535 (line 1 column 4536)
[Actual request and answer evidence](./public-evidence.json)
#### Attempt e2716c84-de3a-491a-83cb-6f63765dd862
analysis_failed · Observed at: 2026-09-08T06:07:12.056Z · First attempt
requestedSearch: provider_native · used: true · executionMode: native
OpenRouter metadata confirmed provider-native web search.
Error: analysis_failed · Unterminated string in JSON at position 4535 (line 1 column 4536)
finish_reason: stop
Read the original answer
{"analysisStatus":"completed","mentions":[{"name":"Pendo","domain":"pendo.io","recommendation":"positive","mentionQuote":"Pendo's analytics tool that instantly tracks what drives user engagement, retention, and product success—no manual event tagging needed.","recommendationQuote":"Pendo has been a huge win for us in this time when every dollar counts and efficiency is super important. It’s made collaboration more grounded in tangible objectives and results, and it provides metrics that define what ‘better’ really means.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Google Analytics","domain":"analytics.google.com","recommendation":"positive","mentionQuote":"Google Analytics is our overall pick for product analytics in 2026.","recommendationQuote":"Google Analytics is our overall pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Firebase Analytics","domain":"firebase.google.com/products/analytics","recommendation":"positive","mentionQuote":"Firebase Analytics is our free pick for product analytics in 2026.","recommendationQuote":"Firebase Analytics is our free pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Amplitude","domain":"amplitude.com","recommendation":"positive","mentionQuote":"Amplitude is a powerful product intelligence platform that will empower your product managers to self-serve and, in turn, allow you to make better and faster product decisions.","recommendationQuote":"Amplitude is a powerful product intelligence platform that will empower your product managers to self-serve and, in turn, allow you to make better and faster product decisions.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Mixpanel","domain":"mixpanel.com","recommendation":"positive","mentionQuote":"Mixpanel is our solid pick for product analytics in 2026.","recommendationQuote":"Mixpanel is our solid pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"PostHog","domain":"posthog.com","recommendation":"positive","mentionQuote":"PostHog is our solid pick for product analytics in 2026.","recommendationQuote":"PostHog is our solid pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"LogRocket","domain":"logrocket.com","recommendation":"positive","mentionQuote":"LogRocket is our most affordable pick for product analytics in 2026.","recommendationQuote":"LogRocket is our most affordable pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"ChurnZero","domain":"churnzero.com","recommendation":"positive","mentionQuote":"ChurnZero is our community favorite pick for product analytics in 2026.","recommendationQuote":"ChurnZero is our community favorite pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"mParticle","domain":"www.mparticle.com","recommendation":"positive","mentionQuote":"mParticle is a product analytics platform that connects directly to your data warehouse to provide actionable insights across the entire customer journey.","recommendationQuote":"mParticle is a product analytics platform that connects directly to your data warehouse to provide actionable insights across the entire customer journey.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Heap","domain":"heap.io","recommendation":"positive","mentionQuote":"Heap is the only digital insights platform that gives you complete understanding of your customers’ digital journeys, so you can quickly improve conversion, retention, and customer delight.","recommendationQuote":"Heap is the only digital insights platform that gives you complete understanding of your customers’ digital journeys, so you can quickly improve conversion, retention, and customer delight.","firstMentionOffset":0,"firstRecommendationOffset
SHA-256: `7407f11da9400f5b8d3a07c0e8de39d938ade3b4f3b1fca619ecc9b7c01271fe`
#### Provider citations
No sources of this type were archived for this attempt.
#### Search retrieval results
No sources of this type were archived for this attempt.
#### Links in the answer (not Provider citations)
No answer URLs were archived for this attempt.
## Repeated observations
3 archived measurement runs; this count does not imply all succeeded. Compare only identical model, language, search and fingerprint conditions. Short repeats do not establish a long-term trend or a causal effect.
- Run 942c0129-c245-4a00-9810-3f8bcde4d518: partial
- Run 71466c93-74d0-4807-9a42-64bdb7cabc78: partial
- Run a99ba9b6-00fb-49e3-9f15-14a3faed91ae: partial
- D 4924864f-0dab-4595-977c-afeeaecfb765 · openai/gpt-4.1-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: e1488831-b6ea-4dd3-b6ee-588afda4b4ad · resultAttemptId: e1488831-b6ea-4dd3-b6ee-588afda4b4ad
- D 374fe0ec-52f1-4f41-bada-a0f09c37409a · openai/gpt-4o-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: 4cf7045c-8e37-49fb-94c0-d52bd7186109 · resultAttemptId: 4cf7045c-8e37-49fb-94c0-d52bd7186109
- D 5bc305f1-028b-4092-8673-26347ae5d9b5 · google/gemini-2.5-flash-lite · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: a1dd1769-1aa2-472d-9b54-27864bfbedca · resultAttemptId: a1dd1769-1aa2-472d-9b54-27864bfbedca
- D 048ceb56-7933-458a-9610-69c8f9932ab7 · openai/gpt-4o-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: 2f256c93-88e3-403e-a478-00e0b04fb08a · resultAttemptId: 2f256c93-88e3-403e-a478-00e0b04fb08a
- D 98933c48-b6e8-40af-a28c-da5315557ff0 · google/gemini-2.5-flash-lite · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: d7824db9-8fea-4a4f-8a48-1cb063f8887c · resultAttemptId: d7824db9-8fea-4a4f-8a48-1cb063f8887c
- D 5361fa95-e877-4424-8f25-cf4cb06786cc · openai/gpt-4.1-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: af1dd88f-7e2c-4fb8-9429-8aa80cbcae86 · resultAttemptId: af1dd88f-7e2c-4fb8-9429-8aa80cbcae86
- D 5d447242-3122-42e7-9bfa-2f9c5363a8bd · openai/gpt-4o-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: c5d5f99f-0ed7-4a62-b173-19e09ad9d851 · resultAttemptId: c5d5f99f-0ed7-4a62-b173-19e09ad9d851
- D 4bd9b598-3650-45ad-a669-03dbe6b55df4 · google/gemini-2.5-flash-lite · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: d45926fe-1290-4bdf-9b7c-243746ce3f31 · resultAttemptId: d45926fe-1290-4bdf-9b7c-243746ce3f31
- D c04a2dec-2c22-4b65-9268-220870e475ca · openai/gpt-4.1-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: 88abb312-90da-4a0b-9782-8dc864c08fa3 · resultAttemptId: 88abb312-90da-4a0b-9782-8dc864c08fa3
### Schedule archive
Task status at collection (historical snapshot): active
Final archived task status: paused · nextRunAt: — · updatedAt: 2026-09-08T06:07:24.138Z
product-data/projects/b4b79062-5865-4b82-8d3a-dd16d5dc68cd/schedules/tasks/f711adc1-1c20-4f71-981e-5af0e7d2c475.json · SHA-256: `ded6cd12c3e62866497b38e7c8019cc63629c173bf45890f13ee2347f450fbea`
- Occurrence c00d21b0-076d-4ac4-a0bd-941670509b57: completed · reason: run_partial_or_failed · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · scheduledFor: 2026-09-08T06:07:00.000Z
Occurrence completed means scheduling finished; a linked partial/failed run remains partial or failed.
## Product screenshots

R04 · posthog.com · D · 3 archived attempts · openai/gpt-4o-mini (off), google/gemini-2.5-flash-lite (off), openai/gpt-4.1-mini (provider_native) · 2026-09-08T06:05:22.972Z to 2026-09-08T06:05:22.972Z. Original failures remain visible.
Captured: 2026-09-08T07:18:58.029Z.

R04 · posthog.com · D/K · 27 archived attempts · openai/gpt-4o-mini (off), google/gemini-2.5-flash-lite (off), openai/gpt-4.1-mini (provider_native) · 2026-09-08T06:05:33.040Z to 2026-09-08T06:07:12.056Z. Original failures remain visible.
Captured: 2026-09-08T07:18:58.461Z.

R04 · posthog.com · D/K · 27 archived attempts · openai/gpt-4o-mini (off), google/gemini-2.5-flash-lite (off), openai/gpt-4.1-mini (provider_native) · 2026-09-08T06:05:33.040Z to 2026-09-08T06:07:12.056Z. Original failures remain visible.
Captured: 2026-09-08T07:19:00.202Z.
## Inspect or remeasure
[Case configuration](./case.json) · [Evidence index](./evidence-index.json) · [Public evidence bundle](./public-evidence.json)
SHA-256: `ea36fddd9c9cea5ec76b3839ec6e7662453d68ee9a4f62cc5d96c3d7ee8b4174`
Historical case cost (not this documentation update): USD 0.14683270 · 30 calls · 106147 Token.
[Export source](../../../examples/lib/export.mjs) · [Candidate provenance and unpublished status](../../../docs/releases/v0.2.0-rc.1.md)
```bash
npm run examples:plan -- --case R04
npm run examples:replay -- --case R04 --evidence examples/cases/R04/public-evidence.json
```
Remeasurement incurs costs and requires an isolated product service, a frozen plan and explicit live authorization. Reading and exporting do not call models.
## Limits and disclosure
This is a public-product observation. Inclusion does not imply a partnership or endorsement.
Model descriptions are not verified market facts. A returned source does not establish that its content is correct or caused a recommendation. Unknown, missing, analysis failure and request failure remain separate. Use the evidence to investigate descriptions or sources, not to assert optimization caused a difference.
- Run 942c0129-c245-4a00-9810-3f8bcde4d518: partial
- Run 71466c93-74d0-4807-9a42-64bdb7cabc78: partial
- Run a99ba9b6-00fb-49e3-9f15-14a3faed91ae: partial
- Probe d85e30b0-0dd7-46d9-900c-7c0cb22273e4: failed; first attempt analysis_failed
- Probe d85e30b0-0dd7-46d9-900c-7c0cb22273e4: missing or failed analysis
- Probe 2713f3dd-9000-4378-8f92-36c029d3dae3: failed; first attempt analysis_failed
- Probe 2713f3dd-9000-4378-8f92-36c029d3dae3: missing or failed analysis
- Probe 96ab1562-739a-4dac-8b68-982d788e10c9: failed; first attempt analysis_failed
- Probe 96ab1562-739a-4dac-8b68-982d788e10c9: missing or failed analysis
- Attempt 829eb19d-0fb0-4d0d-9055-1a7e62188ffd: analysis_failed; Unterminated string in JSON at position 4368 (line 1 column 4369)
- Attempt 8371777c-b23e-4b35-b46d-1e02a0d6b58b: analysis_failed; Unexpected end of JSON input
- Attempt e2716c84-de3a-491a-83cb-6f63765dd862: analysis_failed; Unterminated string in JSON at position 4535 (line 1 column 4536)
- Occurrence c00d21b0-076d-4ac4-a0bd-941670509b57: completed; run_partial_or_failed