Signals via API

Public sample from today's flagship detail endpoint. Public payloads can be limited or redacted. The backend exposes read endpoints for signals, storylines, and briefings.

GET /v1/narratives/33476631-d9a1-4597-8119-452ee9bcecce?tenant=ai&run_id=5c79d453-6ecc-439e-bfcf-a919e6fd88c9

{
  "id": "33476631-d9a1-4597-8119-452ee9bcecce",
  "title": "OpenAI just wants to win",
  "summary": "OpenAI has spent the last few years planting flags across the increasingly difficult terrain in mathematics. This week, it claimed one of its biggest prizes yet: a solution to a legendary Millennium Prize problem. In normal circumstances, this would have been celebrated as a historic achievement. Instead, many mathematicians have watched OpenAI's relentless advance with growing unease. To them, th",
  "first_seen_at": "2026-09-11T23:35:48Z",
  "last_seen_at": "2026-09-12T08:00:28Z",
  "created_at": "2026-09-12T17:00:50.852221Z",
  "updated_at": "2026-09-12T17:01:36.738099Z",
  "timeframe": "24h",
  "run_id": "5c79d453-6ecc-439e-bfcf-a919e6fd88c9",
  "metrics": {
    "divergence": 0,
    "post_count": 2,
    "momentum_1h": 0,
    "momentum_7d": 2,
    "score_total": 1.015535,
    "shill_score": 15,
    "momentum_24h": 2,
    "market_movers": [],
    "evidence_score": 0.5,
    "unique_authors": 2,
    "coherence_score": 0.8106,
    "diversity_bonus": 0.125,
    "duplicate_ratio": 0,
    "platforms_count": 1,
    "social_momentum": 2,
    "divergence_label": null,
    "market_conviction": 0,
    "origin_share_top1": 0.5,
    "unique_publishers": 2,
    "origin_layer_posts": 0,
    "source_types_count": 1,
    "unique_authors_24h": 2,
    "unique_origin_urls": 2,
    "amplifier_share_top1": 0.5,
    "author_concentration": 0.5,
    "publisher_share_top1": 0.5,
    "amplifier_layer_posts": 2,
    "concentration_penalty": 0,
    "unique_origin_domains": 2,
    "source_diversity_bonus": 0,
    "unique_publisher_types": 1,
    "unique_origin_publishers": 2,
    "quality_policy_version": 6,
    "tenant_claim_coherence_policy_version": 3
  },
  "platforms": [
    "rss"
  ],
  "top_tickers": [],
  "why_now": [],
  "display_title": "OpenAI’s mathematics claim draws unease from researchers",
  "display_summary": "Coverage discusses speculative scenarios around ~$15M; treat as market chatter and see linked sources.",
  "narrative_frame_display": "OpenAI’s claimed solution to a Millennium Prize Problem is being presented as a striking demonstration of AI’s expanding role in advanced mathematics. The reports also emphasize mathematicians’ unease over the use of 10,000 autonomous agents, an estimated $15 million bill, and the company’s perceived disregard for established norms.",
  "entities": {
    "projects": [
      "Millennium Prize Problem"
    ],
    "companies": [
      "OpenAI"
    ]
  },
  "recurring_claims": [
    {
      "claim": "OpenAI said its latest AI model had cracked a Millennium Prize Problem that had challenged mathematicians for decades.",
      "evidence_urls": [
        "https://theguardian.com/science/2026/sep/12/openai-mathematicians-millennium-prize-problem",
        "https://theverge.com/ai-artificial-intelligence/994255/openai-millennium-prize-problem-tristan-buckmaster-competition"
      ]
    },
    {
      "claim": "The effort reportedly involved 10,000 autonomous AI agents and an estimated $15 million cost.",
      "evidence_urls": [
        "https://theguardian.com/science/2026/sep/12/openai-mathematicians-millennium-prize-problem"
      ]
    },
    {
      "claim": "Mathematicians have expressed unease about OpenAI’s rapid advance and approach to established mathematical norms.",
      "evidence_urls": [
        "https://theguardian.com/science/2026/sep/12/openai-mathematicians-millennium-prize-problem",
        "https://theverge.com/ai-artificial-intelligence/994255/openai-millennium-prize-problem-tristan-buckmaster-competition"
      ]
    }
  ],
  "stance_map": [
    {
      "stance": "questions",
      "who": "The Guardian",
      "evidence_urls": [
        "https://theguardian.com/science/2026/sep/12/openai-mathematicians-millennium-prize-problem"
      ]
    },
    {
      "stance": "questions",
      "who": "The Verge",
      "evidence_urls": [
        "https://theverge.com/ai-artificial-intelligence/994255/openai-millennium-prize-problem-tristan-buckmaster-competition"
      ]
    }
  ],
  "quality_flags": {
    "mixed_topic_risk": "low",
    "promo_risk": "low",
    "source_quality": "high"
  },
  "editor_note": "Coverage focuses on OpenAI’s claimed mathematical breakthrough and the unease it has prompted among mathematicians.",
  "display_tags": [
    "models",
    "benchmarks",
    "ai_research"
  ],
  "tags": [
    "models",
    "benchmarks",
    "ai_research"
  ],
  "cscope_tags": [
    "models",
    "benchmarks",
    "ai_research"
  ],
  "why_now_display": [
    "OpenAI has just claimed a solution to a long-standing Millennium Prize Problem.",
    "Mathematicians’ reported reactions shift the story from technical achievement to questions about norms and consequences."
  ],
  "why_it_matters_display": [
    "The episode highlights AI systems being applied to difficult mathematical research problems.",
    "The reported scale and cost raise questions about how AI-led research may differ from established mathematical practice."
  ],
  "show_why": true,
  "sources_display": [
    {
      "label": "The Guardian: mathematicians react to OpenAI’s claimed breakthrough"
    },
    {
      "label": "The Verge: OpenAI’s pursuit of a mathematics prize"
    }
  ],
  "trend_status": "flat",
  "trend_sparkline": "▁",
  "trend_points_n": 0,
  "trend_window": {
    "lookback_days": 14,
    "max_points": 36,
    "value_key": null
  },
  "llm_status": "accepted",
  "llm_meta": {
    "model": "gpt-5.6-luna",
    "prompt_version": "enrich_v3",
    "input_hash": "c6bf244b9344cecc90104114b55addfe45a9f654d4f6cdd7c003200e1cb2f01f",
    "updated_at": "2026-09-12T17:02:35.416356+00:00",
    "llm_metadata": {
      "env": "prod",
      "host": "83bc069ed062",
      "stage": "signals.enrich",
      "run_id": "5c79d453-6ecc-439e-bfcf-a919e6fd88c9",
      "tenant": "ai",
      "service": "api",
      "pipeline": "pipeline_run",
      "correlation_id": "33476631-d9a1-4597-8119-452ee9bcecce"
    }
  },
  "story_id": "2c1db10e-6db8-4ce7-a371-4796b6d56f7d",
  "sourceStats": {
    "qualityPolicyVersion": 6,
    "evidenceDocumentCount": 2,
    "uniqueItemCount": 2,
    "uniquePublisherCount": 2,
    "uniqueCanonicalOriginCount": 2,
    "independentNonSocialCount": 2,
    "primaryCount": 0,
    "secondaryCount": 2,
    "uniqueDomainsCount": 2,
    "aggregatorCount": 0,
    "socialCount": 0,
    "sourceTypeDiversityCount": 1,
    "topSourceShare": 0.5,
    "passesTopSignalsGate": true,
    "gateReason": "independentNonSocial=2; primary=0; secondary=2; documents=2; publishers=2; canonicalOrigins=2; topSourceShare=0.5; rule=>=2 unique canonical primary/secondary publishers; aggregators/social excluded"
  },
  "gate": {
    "passesTopSignalsGate": true,
    "gateReason": "independentNonSocial=2; primary=0; secondary=2; documents=2; publishers=2; canonicalOrigins=2; topSourceShare=0.5; rule=>=2 unique canonical primary/secondary publishers; aggregators/social excluded"
  },
  "public_surface": {
    "eligible_for_flagship_sample": false,
    "eligible_for_top_public_brief": true,
    "eligible_for_public_index": false,
    "eligible_only_for_lower_or_internal_surfaces": false,
    "public_rank_score": 7,
    "structural_priority": true,
    "mostly_social": false,
    "community_chatter": false,
    "reader_label": "Limited evidence",
    "excluded_reasons": [
      "narrow_evidence"
    ],
    "source_signals": {
      "post_count": 2,
      "unique_origins": 2,
      "source_types_count": 1,
      "independent_non_social_count": 2,
      "social_source_count": 0,
      "non_social_source_count": 0,
      "why_now_count": 2,
      "why_it_matters_count": 2
    },
    "content_quality_ready": true
  },
  "current_cycle_open": false
}

• Signals and storylines feed endpoints with filtering and rate limits
• Briefing delivery endpoints for integrations
• Evidence link payloads for auditability

• Route top stories into Slack or Teams for morning and evening desk updates.
• Sync storyline evidence into Notion, Airtable, or internal research trackers.
• Feed metrics into BI dashboards for momentum, concentration, and source mix monitoring.

Quick start endpoints: /v1/feed/stories, /v1/signals, /v1/storylines/search, /v1/briefings/latest.

For product access, see Pricing.