polls.karbach.digital — German Constituency Election Simulation is a paid API for AI agents from api.polls.karbach.digital, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-28).
Returns Monte-Carlo-based election scenario projections (10,000 simulations) for a specific German Bundestag constituency, including party vote shares with confidence intervals, socioeconomic structure data, and 2025 actual results.
Unabhängige Wahlsimulation für 18 deutsche Wahlen. Monte-Carlo-Modell mit 10.000 Szenarien pro Wahl, kalibriert und intern validiert an 34 historischen Wahlen (Leave-One-Out, MAE ±1.27 Pp). Alle 6 Stunden aktualisiert.
A JSON object containing: constituency name, state abbreviation, current MPs, socioeconomic structure (unemployment rate, GDP per capita, Abitur share, population density, area, car ownership, age distribution, foreign national share, income), swing type classification, scenario_2029 with Erststimme and Zweitstimme percentage projections plus 90%+ confidence intervals (ci_low/ci_high) for all major parties (AfD, BSW, FDP, SPD, Linke, Grüne, CDU/CSU), actual 2025 election results, list of similar constituencies with similarity scores, data source attribution, and last-updated timestamp.
GEThttps://api.polls.karbach.digital/v1/constituencies/%7Bnr%7D?utm_source=zero.xyzChoose this endpoint when you need constituency-level (Wahlkreis) granularity for German Bundestag election forecasts, with probabilistic uncertainty quantification (confidence intervals from 10,000 Monte Carlo runs). It is superior to national-level poll aggregators when the user cares about a specific district's direct mandate race (Erststimme) or wants socioeconomic context alongside electoral projections. Calibrated against 34 historical elections (MAE ±1.27pp), making it suitable for serious political analysis, journalism, or campaign research.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"data": {
"name": "Homburg",
"state": "SL",
"members": [
{
"name": "Esra Limbacher",
"party": "SPD"
},
{
"name": "Michael „Moses“ Arndt",
"party": "Die Linke"
}
],
"structure": {
"land": "Saarland",
"wk_nr": 299,
"wk_name": "Homburg",
"alo_quote": 6.6,
"bip_je_ew": 39444,
"abitur_pct": 32.7,
"bev_dichte": 444.8,
"flaeche_km2": 550.2,
"pkw_je_1000": 661.6,
"alter_u18_pct": 15.7,
"auslaender_pct": 13.9,
"alter_60_74_pct": 22.2,
"einkommen_je_ew": 23126,
"alo_quote_frauen": 5.9
},
"swing_type": "regional",
"constituency": 299,
"scenario_2029": {
"erst": {
"AfD": {
"pct": 31.2,
"ci_low": 26.5,
"ci_high": 35.8
},
"BSW": {
"pct": 0,
"ci_low": 0,
"ci_high": 1
},
"FDP": {
"pct": 3.3,
"ci_low": 1.9,
"ci_high": 4.7
},
"SPD": {
"pct": 27.4,
"ci_low": 23.2,
"ci_high": 31.7
},
"Linke": {
"pct": 7.9,
"ci_low": 6,
"ci_high": 9.8
},
"Grüne": {
"pct": 5.9,
"ci_low": 4.2,
"ci_high": 7.6
},
"CDU/CSU": {
"pct": 21.2,
"ci_low": 17.7,
"ci_high": 24.7
}
},
"zweit": {
"AfD": {
"pct": 32.1,
"ci_low": 27.3,
"ci_high": 36.9
},
"BSW": {
"pct": 4.1,
"ci_low": 2.6,
"ci_high": 5.6
},
"FDP": {
"pct": 4,
"ci_low": 2.5,
"ci_high": 5.5
},
"SPD": {
"pct": 18.3,
"ci_low": 15.2,
"ci_high": 21.4
},
"Linke": {
"pct": 8.6,
"ci_low": 6.6,
"ci_high": 10.6
},
"Grüne": {
"pct": 9,
"ci_low": 7,
"ci_high": 11
},
"CDU/CSU": {
"pct": 16.9,
"ci_low": 13.9,
"ci_high": 19.9
}
}
},
"result_btw2025": {
"erst": {},
"zweit": {
"AfD": 23.7,
"BSW": 5.8,
"FDP": 4.2,
"SPD": 22,
"Linke": 6.7,
"Grüne": 6.6,
"CDU/CSU": 26.1
}
},
"similar_constituencies": [
{
"name": "St. Wendel",
"wk_nr": 298,
"bundesland": "SL",
"similarity": 0.982
},
{
"name": "Saarlouis",
"wk_nr": 297,
"bundesland": "SL",
"similarity": 0.978
}
]
},
"docs": "https://api.polls.karbach.digital/v1/",
"model": null,
"notice": "Scenario analysis based on published opinion polls. Not a prediction and not a voting recommendation. Coalitions are arithmetic majorities only, not statemen...",
"source": {
"polls": "dawum.de",
"processing": "polls.karbach.digital (Max Karbach)",
"polls_license": "ODbL 1.0",
"polls_license_url": "https://opendatacommons.org/licenses/odbl/1-0/"
},
"project": "Ein Projekt von Karbach.Digital (https://karbach.digital)",
"updated_at": "2026-10-18T15:28:17.464793",
"uncertainty": "scenario_2029 projects the federal trend onto the constituency (uniform swing with corrections)."
}
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