Get Latest Barometer

GET

https://https/barometer/latest

GET

/barometer/latest

1 curl https://https//https/barometer/latest \
2      -H "X-API-Key: <apiKey>"

200Barometer_Get Latest Barometer_example

1 {
2   "period": "2026-05-01",
3   "slug": "barometre-nogogo-2026-05",
4   "title": "Baromètre Nogogo - 2026-05",
5   "seo_title": "Baromètre Nogogo 2026-05 : risque des entreprises françaises",
6   "seo_description": "Indice de Risque Nogogo, secteurs à risque, régions fragiles, défaillances et signaux faibles avant défaillance.",
7   "pdf_available": true,
8   "pdf_url": "/public/v1/barometer/2026-05/pdf",
9   "published_at": "2026-06-07T11:53:09.650825+00:00",
10   "kpis": {
11     "companies_count": 3268355,
12     "scored_companies_count": 3268355,
13     "irn": 27.65,
14     "avg_score_global": 68.13,
15     "pct_high_risk": 3.96,
16     "mom_irn_delta": 1.75
17   },
18   "risk_distribution": {
19     "A": 6.69,
20     "B": 83.53,
21     "C": 5.82,
22     "D": 0.43,
23     "E": 3.54
24   },
25   "failures": {
26     "total": 4481,
27     "redressements": 114,
28     "liquidations": 4311,
29     "sauvegardes": 56
30   },
31   "top_sectors": [
32     {
33       "period": "2026-05-01",
34       "ape": "industrie-transport",
35       "ape_label": "Matériels de transport",
36       "sector_slug": "industrie-transport",
37       "sector_label": "Matériels de transport",
38       "macro_sector_slug": "industrie",
39       "macro_sector_label": "Industrie",
40       "companies_count": 1281,
41       "irn": 32.53,
42       "avg_score_global": 64.58,
43       "pct_high_risk": 10.07,
44       "failures_count": 4,
45       "failure_rate": 0.3123,
46       "mom_irn_delta": 3.19,
47       "risk_rank": 1,
48       "risk_distribution": {
49         "A": 7.42,
50         "B": 72.99,
51         "C": 9.52,
52         "D": 2.19,
53         "E": 7.88
54       }
55     },
56     {
57       "period": "2026-05-01",
58       "ape": "associations-organisations",
59       "ape_label": "Associations & organisations",
60       "sector_slug": "associations-organisations",
61       "sector_label": "Associations & organisations",
62       "macro_sector_slug": "services-particuliers",
63       "macro_sector_label": "Services aux particuliers",
64       "companies_count": 114,
65       "irn": 30.92,
66       "avg_score_global": 66.06,
67       "pct_high_risk": 5.26,
68       "failures_count": 4,
69       "failure_rate": 3.5088,
70       "mom_irn_delta": 2.35,
71       "risk_rank": 2,
72       "risk_distribution": {
73         "A": 2.63,
74         "B": 79.82,
75         "C": 12.28,
76         "D": 1.75,
77         "E": 3.51
78       }
79     },
80     {
81       "period": "2026-05-01",
82       "ape": "restauration-debits-boissons",
83       "ape_label": "Restauration & débits de boissons",
84       "sector_slug": "restauration-debits-boissons",
85       "sector_label": "Restauration & débits de boissons",
86       "macro_sector_slug": "transport-tourisme-restauration",
87       "macro_sector_label": "Transport, tourisme & restauration",
88       "companies_count": 219797,
89       "irn": 30.28,
90       "avg_score_global": 65.29,
91       "pct_high_risk": 7.35,
92       "failures_count": 674,
93       "failure_rate": 0.3066,
94       "mom_irn_delta": 3.41,
95       "risk_rank": 3,
96       "risk_distribution": {
97         "A": 4.56,
98         "B": 84.1,
99         "C": 3.99,
100         "D": 0.35,
101         "E": 7
102       }
103     },
104     {
105       "period": "2026-05-01",
106       "ape": "industrie-automobile",
107       "ape_label": "Industrie automobile",
108       "sector_slug": "industrie-automobile",
109       "sector_label": "Industrie automobile",
110       "macro_sector_slug": "industrie",
111       "macro_sector_label": "Industrie",
112       "companies_count": 2296,
113       "irn": 30.17,
114       "avg_score_global": 66.52,
115       "pct_high_risk": 7.97,
116       "failures_count": 7,
117       "failure_rate": 0.3049,
118       "mom_irn_delta": 2.93,
119       "risk_rank": 4,
120       "risk_distribution": {
121         "A": 9.49,
122         "B": 74.35,
123         "C": 8.19,
124         "D": 1.92,
125         "E": 6.05
126       }
127     },
128     {
129       "period": "2026-05-01",
130       "ape": "industrie-agroalimentaire",
131       "ape_label": "Industrie agroalimentaire",
132       "sector_slug": "industrie-agroalimentaire",
133       "sector_label": "Industrie agroalimentaire",
134       "macro_sector_slug": "industrie",
135       "macro_sector_label": "Industrie",
136       "companies_count": 50643,
137       "irn": 30,
138       "avg_score_global": 66.15,
139       "pct_high_risk": 7.22,
140       "failures_count": 116,
141       "failure_rate": 0.2291,
142       "mom_irn_delta": 2.92,
143       "risk_rank": 5,
144       "risk_distribution": {
145         "A": 5.32,
146         "B": 83.28,
147         "C": 4.18,
148         "D": 0.52,
149         "E": 6.7
150       }
151     },
152     {
153       "period": "2026-05-01",
154       "ape": "energie",
155       "ape_label": "Énergie",
156       "sector_slug": "energie",
157       "sector_label": "Énergie",
158       "macro_sector_slug": "energie-environnement",
159       "macro_sector_label": "Énergie & environnement",
160       "companies_count": 39675,
161       "irn": 29.56,
162       "avg_score_global": 68.16,
163       "pct_high_risk": 2.35,
164       "failures_count": 5,
165       "failure_rate": 0.0126,
166       "mom_irn_delta": 0.24,
167       "risk_rank": 6,
168       "risk_distribution": {
169         "A": 6.97,
170         "B": 70.71,
171         "C": 19.96,
172         "D": 1.78,
173         "E": 0.57
174       }
175     },
176     {
177       "period": "2026-05-01",
178       "ape": "industrie-chimie-pharma",
179       "ape_label": "Chimie & pharmacie",
180       "sector_slug": "industrie-chimie-pharma",
181       "sector_label": "Chimie & pharmacie",
182       "macro_sector_slug": "industrie",
183       "macro_sector_label": "Industrie",
184       "companies_count": 4389,
185       "irn": 29.45,
186       "avg_score_global": 67.36,
187       "pct_high_risk": 6.58,
188       "failures_count": 2,
189       "failure_rate": 0.0456,
190       "mom_irn_delta": 2.13,
191       "risk_rank": 7,
192       "risk_distribution": {
193         "A": 8.98,
194         "B": 75.32,
195         "C": 9.11,
196         "D": 2.1,
197         "E": 4.49
198       }
199     },
200     {
201       "period": "2026-05-01",
202       "ape": "btp-construction",
203       "ape_label": "BTP & construction",
204       "sector_slug": "btp-construction",
205       "sector_label": "BTP & construction",
206       "macro_sector_slug": "construction-immobilier",
207       "macro_sector_label": "Construction & immobilier",
208       "companies_count": 395746,
209       "irn": 29.33,
210       "avg_score_global": 66.38,
211       "pct_high_risk": 6.63,
212       "failures_count": 908,
213       "failure_rate": 0.2294,
214       "mom_irn_delta": 3.23,
215       "risk_rank": 8,
216       "risk_distribution": {
217         "A": 5.78,
218         "B": 84.17,
219         "C": 3.42,
220         "D": 0.22,
221         "E": 6.41
222       }
223     },
224     {
225       "period": "2026-05-01",
226       "ape": "industrie-metallurgie",
227       "ape_label": "Métallurgie & produits métalliques",
228       "sector_slug": "industrie-metallurgie",
229       "sector_label": "Métallurgie & produits métalliques",
230       "macro_sector_slug": "industrie",
231       "macro_sector_label": "Industrie",
232       "companies_count": 18410,
233       "irn": 29.02,
234       "avg_score_global": 67.52,
235       "pct_high_risk": 7.85,
236       "failures_count": 44,
237       "failure_rate": 0.239,
238       "mom_irn_delta": 2.94,
239       "risk_rank": 9,
240       "risk_distribution": {
241         "A": 11.86,
242         "B": 74.57,
243         "C": 5.71,
244         "D": 1.31,
245         "E": 6.54
246       }
247     },
248     {
249       "period": "2026-05-01",
250       "ape": "industrie-technologique",
251       "ape_label": "Industrie technologique",
252       "sector_slug": "industrie-technologique",
253       "sector_label": "Industrie technologique",
254       "macro_sector_slug": "industrie",
255       "macro_sector_label": "Industrie",
256       "companies_count": 5109,
257       "irn": 28.81,
258       "avg_score_global": 67.71,
259       "pct_high_risk": 7.05,
260       "failures_count": 12,
261       "failure_rate": 0.2349,
262       "mom_irn_delta": 2.51,
263       "risk_rank": 10,
264       "risk_distribution": {
265         "A": 12.59,
266         "B": 72.07,
267         "C": 8.3,
268         "D": 1.62,
269         "E": 5.42
270       }
271     }
272   ],
273   "bottom_sectors": [
274     {
275       "period": "2026-05-01",
276       "ape": "finance-assurance",
277       "ape_label": "Finance & assurance",
278       "sector_slug": "finance-assurance",
279       "sector_label": "Finance & assurance",
280       "macro_sector_slug": "services",
281       "macro_sector_label": "Services",
282       "companies_count": 258570,
283       "irn": 24.71,
284       "avg_score_global": 70.87,
285       "pct_high_risk": 2.11,
286       "failures_count": 108,
287       "failure_rate": 0.0418,
288       "mom_irn_delta": 0.6,
289       "risk_rank": 34,
290       "risk_distribution": {
291         "A": 18.98,
292         "B": 66.6,
293         "C": 12.31,
294         "D": 0.79,
295         "E": 1.32
296       }
297     },
298     {
299       "period": "2026-05-01",
300       "ape": "services-entreprises-conseil",
301       "ape_label": "Services aux entreprises & conseil",
302       "sector_slug": "services-entreprises-conseil",
303       "sector_label": "Services aux entreprises & conseil",
304       "macro_sector_slug": "services",
305       "macro_sector_label": "Services",
306       "companies_count": 483146,
307       "irn": 26.08,
308       "avg_score_global": 69.2,
309       "pct_high_risk": 2.14,
310       "failures_count": 339,
311       "failure_rate": 0.0702,
312       "mom_irn_delta": 0.95,
313       "risk_rank": 33,
314       "risk_distribution": {
315         "A": 7,
316         "B": 85.64,
317         "C": 5.22,
318         "D": 0.31,
319         "E": 1.83
320       }
321     },
322     {
323       "period": "2026-05-01",
324       "ape": "sante-social",
325       "ape_label": "Santé & action sociale",
326       "sector_slug": "sante-social",
327       "sector_label": "Santé & action sociale",
328       "macro_sector_slug": "public-sante-education",
329       "macro_sector_label": "Public, santé & éducation",
330       "companies_count": 64850,
331       "irn": 26.42,
332       "avg_score_global": 69.79,
333       "pct_high_risk": 2.2,
334       "failures_count": 43,
335       "failure_rate": 0.0663,
336       "mom_irn_delta": 0.69,
337       "risk_rank": 32,
338       "risk_distribution": {
339         "A": 3.58,
340         "B": 91.21,
341         "C": 3.01,
342         "D": 0.35,
343         "E": 1.86
344       }
345     },
346     {
347       "period": "2026-05-01",
348       "ape": "autres-secteurs",
349       "ape_label": "Autres secteurs",
350       "sector_slug": "autres-secteurs",
351       "sector_label": "Autres secteurs",
352       "macro_sector_slug": "autres",
353       "macro_sector_label": "Autres secteurs",
354       "companies_count": 31539,
355       "irn": 26.61,
356       "avg_score_global": 67.26,
357       "pct_high_risk": 0.51,
358       "failures_count": 14,
359       "failure_rate": 0.0444,
360       "mom_irn_delta": 0.36,
361       "risk_rank": 31,
362       "risk_distribution": {
363         "A": 0.59,
364         "B": 93.35,
365         "C": 5.55,
366         "D": 0.04,
367         "E": 0.47
368       }
369     },
370     {
371       "period": "2026-05-01",
372       "ape": "informatique-numerique",
373       "ape_label": "Informatique & numérique",
374       "sector_slug": "informatique-numerique",
375       "sector_label": "Informatique & numérique",
376       "macro_sector_slug": "numerique-medias",
377       "macro_sector_label": "Numérique & médias",
378       "companies_count": 108121,
379       "irn": 26.64,
380       "avg_score_global": 68.39,
381       "pct_high_risk": 2.5,
382       "failures_count": 81,
383       "failure_rate": 0.0749,
384       "mom_irn_delta": 1.12,
385       "risk_rank": 30,
386       "risk_distribution": {
387         "A": 4.07,
388         "B": 89.99,
389         "C": 3.44,
390         "D": 0.31,
391         "E": 2.19
392       }
393     },
394     {
395       "period": "2026-05-01",
396       "ape": "administration-public",
397       "ape_label": "Administration & secteur public",
398       "sector_slug": "administration-public",
399       "sector_label": "Administration & secteur public",
400       "macro_sector_slug": "public-sante-education",
401       "macro_sector_label": "Public, santé & éducation",
402       "companies_count": 56,
403       "irn": 26.79,
404       "avg_score_global": 69.8,
405       "pct_high_risk": 3.57,
406       "failures_count": 0,
407       "failure_rate": 0,
408       "mom_irn_delta": 1.29,
409       "risk_rank": 29,
410       "risk_distribution": {
411         "A": 16.07,
412         "B": 67.86,
413         "C": 12.5,
414         "D": 0,
415         "E": 3.57
416       }
417     },
418     {
419       "period": "2026-05-01",
420       "ape": "immobilier",
421       "ape_label": "Immobilier",
422       "sector_slug": "immobilier",
423       "sector_label": "Immobilier",
424       "macro_sector_slug": "immobilier",
425       "macro_sector_label": "Immobilier",
426       "companies_count": 245322,
427       "irn": 26.96,
428       "avg_score_global": 69.34,
429       "pct_high_risk": 1.88,
430       "failures_count": 158,
431       "failure_rate": 0.0644,
432       "mom_irn_delta": 0.59,
433       "risk_rank": 28,
434       "risk_distribution": {
435         "A": 4.94,
436         "B": 85.59,
437         "C": 7.59,
438         "D": 0.45,
439         "E": 1.43
440       }
441     },
442     {
443       "period": "2026-05-01",
444       "ape": "hebergement-tourisme",
445       "ape_label": "Hébergement & tourisme",
446       "sector_slug": "hebergement-tourisme",
447       "sector_label": "Hébergement & tourisme",
448       "macro_sector_slug": "transport-tourisme-restauration",
449       "macro_sector_label": "Transport, tourisme & restauration",
450       "companies_count": 51822,
451       "irn": 26.96,
452       "avg_score_global": 69.42,
453       "pct_high_risk": 2.78,
454       "failures_count": 39,
455       "failure_rate": 0.0753,
456       "mom_irn_delta": 0.88,
457       "risk_rank": 27,
458       "risk_distribution": {
459         "A": 7.14,
460         "B": 82.77,
461         "C": 7.32,
462         "D": 0.66,
463         "E": 2.12
464       }
465     },
466     {
467       "period": "2026-05-01",
468       "ape": "industries-extractives",
469       "ape_label": "Industries extractives",
470       "sector_slug": "industries-extractives",
471       "sector_label": "Industries extractives",
472       "macro_sector_slug": "industrie",
473       "macro_sector_label": "Industrie",
474       "companies_count": 1615,
475       "irn": 27.04,
476       "avg_score_global": 69.67,
477       "pct_high_risk": 4.09,
478       "failures_count": 1,
479       "failure_rate": 0.0619,
480       "mom_irn_delta": 0.87,
481       "risk_rank": 26,
482       "risk_distribution": {
483         "A": 16.04,
484         "B": 66.01,
485         "C": 13.87,
486         "D": 1.92,
487         "E": 2.17
488       }
489     },
490     {
491       "period": "2026-05-01",
492       "ape": "industrie-maintenance",
493       "ape_label": "Maintenance industrielle",
494       "sector_slug": "industrie-maintenance",
495       "sector_label": "Maintenance industrielle",
496       "macro_sector_slug": "industrie",
497       "macro_sector_label": "Industrie",
498       "companies_count": 18952,
499       "irn": 27.22,
500       "avg_score_global": 68.59,
501       "pct_high_risk": 4.73,
502       "failures_count": 18,
503       "failure_rate": 0.095,
504       "mom_irn_delta": 2.12,
505       "risk_rank": 25,
506       "risk_distribution": {
507         "A": 8.53,
508         "B": 83.1,
509         "C": 3.63,
510         "D": 0.42,
511         "E": 4.32
512       }
513     }
514   ],
515   "top_regions": [
516     {
517       "period": "2026-05-01",
518       "region": "La Réunion",
519       "companies_count": 40900,
520       "irn": 31.17,
521       "avg_score_global": 66.23,
522       "pct_high_risk": 5.34,
523       "failures_count": 91,
524       "failure_rate": 0.2225,
525       "mom_irn_delta": 1.99,
526       "risk_rank": 1,
527       "risk_distribution": {
528         "A": 5.09,
529         "B": 75.56,
530         "C": 14.01,
531         "D": 0.25,
532         "E": 5.08
533       }
534     },
535     {
536       "period": "2026-05-01",
537       "region": "Guyane",
538       "companies_count": 14686,
539       "irn": 29.66,
540       "avg_score_global": 66.74,
541       "pct_high_risk": 3.98,
542       "failures_count": 11,
543       "failure_rate": 0.0749,
544       "mom_irn_delta": 2.61,
545       "risk_rank": 2,
546       "risk_distribution": {
547         "A": 3.9,
548         "B": 81.3,
549         "C": 10.83,
550         "D": 0.22,
551         "E": 3.76
552       }
553     },
554     {
555       "period": "2026-05-01",
556       "region": "Martinique",
557       "companies_count": 49079,
558       "irn": 29.24,
559       "avg_score_global": 67.28,
560       "pct_high_risk": 1.82,
561       "failures_count": 43,
562       "failure_rate": 0.0876,
563       "mom_irn_delta": 0.93,
564       "risk_rank": 3,
565       "risk_distribution": {
566         "A": 1.93,
567         "B": 82.66,
568         "C": 13.59,
569         "D": 0.15,
570         "E": 1.67
571       }
572     },
573     {
574       "period": "2026-05-01",
575       "region": "Hauts-de-France",
576       "companies_count": 173121,
577       "irn": 28.32,
578       "avg_score_global": 67.47,
579       "pct_high_risk": 5.31,
580       "failures_count": 362,
581       "failure_rate": 0.2091,
582       "mom_irn_delta": 2.4,
583       "risk_rank": 4,
584       "risk_distribution": {
585         "A": 7.66,
586         "B": 81.55,
587         "C": 5.48,
588         "D": 0.46,
589         "E": 4.85
590       }
591     },
592     {
593       "period": "2026-05-01",
594       "region": "Grand Est",
595       "companies_count": 189284,
596       "irn": 28.14,
597       "avg_score_global": 67.89,
598       "pct_high_risk": 4.8,
599       "failures_count": 139,
600       "failure_rate": 0.0734,
601       "mom_irn_delta": 1.73,
602       "risk_rank": 5,
603       "risk_distribution": {
604         "A": 5.95,
605         "B": 84.88,
606         "C": 4.37,
607         "D": 0.25,
608         "E": 4.54
609       }
610     },
611     {
612       "period": "2026-05-01",
613       "region": "Guadeloupe",
614       "companies_count": 47539,
615       "irn": 27.95,
616       "avg_score_global": 68.41,
617       "pct_high_risk": 2.31,
618       "failures_count": 14,
619       "failure_rate": 0.0294,
620       "mom_irn_delta": 1.08,
621       "risk_rank": 6,
622       "risk_distribution": {
623         "A": 3.37,
624         "B": 85.69,
625         "C": 8.64,
626         "D": 0.4,
627         "E": 1.9
628       }
629     },
630     {
631       "period": "2026-05-01",
632       "region": "Nouvelle-Aquitaine",
633       "companies_count": 247232,
634       "irn": 27.89,
635       "avg_score_global": 68.04,
636       "pct_high_risk": 4.64,
637       "failures_count": 417,
638       "failure_rate": 0.1687,
639       "mom_irn_delta": 2.23,
640       "risk_rank": 7,
641       "risk_distribution": {
642         "A": 7.09,
643         "B": 83.12,
644         "C": 5.14,
645         "D": 0.42,
646         "E": 4.22
647       }
648     },
649     {
650       "period": "2026-05-01",
651       "region": "Centre-Val de Loire",
652       "companies_count": 83123,
653       "irn": 27.83,
654       "avg_score_global": 67.89,
655       "pct_high_risk": 4.85,
656       "failures_count": 114,
657       "failure_rate": 0.1371,
658       "mom_irn_delta": 2.38,
659       "risk_rank": 8,
660       "risk_distribution": {
661         "A": 7.41,
662         "B": 83.18,
663         "C": 4.55,
664         "D": 0.38,
665         "E": 4.47
666       }
667     },
668     {
669       "period": "2026-05-01",
670       "region": "Occitanie",
671       "companies_count": 272604,
672       "irn": 27.73,
673       "avg_score_global": 68.09,
674       "pct_high_risk": 4.06,
675       "failures_count": 365,
676       "failure_rate": 0.1339,
677       "mom_irn_delta": 1.79,
678       "risk_rank": 9,
679       "risk_distribution": {
680         "A": 6.32,
681         "B": 84.21,
682         "C": 5.41,
683         "D": 0.36,
684         "E": 3.7
685       }
686     },
687     {
688       "period": "2026-05-01",
689       "region": "Île-de-France",
690       "companies_count": 934362,
691       "irn": 27.6,
692       "avg_score_global": 67.87,
693       "pct_high_risk": 3.56,
694       "failures_count": 1080,
695       "failure_rate": 0.1156,
696       "mom_irn_delta": 1.56,
697       "risk_rank": 10,
698       "risk_distribution": {
699         "A": 6.19,
700         "B": 83.73,
701         "C": 6.52,
702         "D": 0.6,
703         "E": 2.97
704       }
705     },
706     {
707       "period": "2026-05-01",
708       "region": "Provence-Alpes-Côte d'Azur",
709       "companies_count": 303540,
710       "irn": 27.58,
711       "avg_score_global": 68.09,
712       "pct_high_risk": 4.07,
713       "failures_count": 462,
714       "failure_rate": 0.1522,
715       "mom_irn_delta": 1.89,
716       "risk_rank": 11,
717       "risk_distribution": {
718         "A": 7.22,
719         "B": 83.04,
720         "C": 5.67,
721         "D": 0.35,
722         "E": 3.72
723       }
724     },
725     {
726       "period": "2026-05-01",
727       "region": "Corse",
728       "companies_count": 24604,
729       "irn": 27.56,
730       "avg_score_global": 68.27,
731       "pct_high_risk": 3.55,
732       "failures_count": 44,
733       "failure_rate": 0.1788,
734       "mom_irn_delta": 1.35,
735       "risk_rank": 12,
736       "risk_distribution": {
737         "A": 4.74,
738         "B": 87.11,
739         "C": 4.59,
740         "D": 0.26,
741         "E": 3.29
742       }
743     },
744     {
745       "period": "2026-05-01",
746       "region": "Bourgogne-Franche-Comté",
747       "companies_count": 92455,
748       "irn": 27.55,
749       "avg_score_global": 68.26,
750       "pct_high_risk": 4.45,
751       "failures_count": 145,
752       "failure_rate": 0.1568,
753       "mom_irn_delta": 1.79,
754       "risk_rank": 13,
755       "risk_distribution": {
756         "A": 7.25,
757         "B": 83.88,
758         "C": 4.42,
759         "D": 0.33,
760         "E": 4.13
761       }
762     },
763     {
764       "period": "2026-05-01",
765       "region": "Normandie",
766       "companies_count": 105372,
767       "irn": 27.33,
768       "avg_score_global": 68.44,
769       "pct_high_risk": 4.05,
770       "failures_count": 179,
771       "failure_rate": 0.1699,
772       "mom_irn_delta": 1.82,
773       "risk_rank": 14,
774       "risk_distribution": {
775         "A": 7.61,
776         "B": 83.22,
777         "C": 5.11,
778         "D": 0.35,
779         "E": 3.7
780       }
781     },
782     {
783       "period": "2026-05-01",
784       "region": "Bretagne",
785       "companies_count": 129037,
786       "irn": 27.25,
787       "avg_score_global": 68.56,
788       "pct_high_risk": 3.58,
789       "failures_count": 152,
790       "failure_rate": 0.1178,
791       "mom_irn_delta": 1.62,
792       "risk_rank": 15,
793       "risk_distribution": {
794         "A": 6.34,
795         "B": 85.19,
796         "C": 4.89,
797         "D": 0.3,
798         "E": 3.28
799       }
800     },
801     {
802       "period": "2026-05-01",
803       "region": "Auvergne-Rhône-Alpes",
804       "companies_count": 374968,
805       "irn": 27.07,
806       "avg_score_global": 68.62,
807       "pct_high_risk": 3.81,
808       "failures_count": 663,
809       "failure_rate": 0.1768,
810       "mom_irn_delta": 1.66,
811       "risk_rank": 16,
812       "risk_distribution": {
813         "A": 8.05,
814         "B": 82.86,
815         "C": 5.28,
816         "D": 0.4,
817         "E": 3.41
818       }
819     },
820     {
821       "period": "2026-05-01",
822       "region": "Pays de la Loire",
823       "companies_count": 143039,
824       "irn": 26.88,
825       "avg_score_global": 68.74,
826       "pct_high_risk": 3.99,
827       "failures_count": 183,
828       "failure_rate": 0.1279,
829       "mom_irn_delta": 1.82,
830       "risk_rank": 17,
831       "risk_distribution": {
832         "A": 9.4,
833         "B": 81.24,
834         "C": 5.37,
835         "D": 0.44,
836         "E": 3.55
837       }
838     },
839     {
840       "period": "2026-05-01",
841       "region": "Mayotte",
842       "companies_count": 6548,
843       "irn": 25.96,
844       "avg_score_global": 68.92,
845       "pct_high_risk": 1.27,
846       "failures_count": 3,
847       "failure_rate": 0.0458,
848       "mom_irn_delta": 0.7,
849       "risk_rank": 18,
850       "risk_distribution": {
851         "A": 3.02,
852         "B": 92.56,
853         "C": 3.15,
854         "D": 0.09,
855         "E": 1.18
856       }
857     }
858   ],
859   "failure_signals": {
860     "period": "2026-05-01",
861     "scope_type": "national",
862     "scope_key": "FR",
863     "scope_label": "France",
864     "failures_count": 4419,
865     "pct_with_1_signal": 17.13,
866     "pct_with_3_signals": 0.23,
867     "avg_signals_per_failed_company": 0.19,
868     "timeline": {
869       "6_months": 0.19,
870       "3_months": 0.13,
871       "1_month": 0.01
872     }
873   },
874   "insights": [
875     {
876       "id": 94,
877       "period": "2026-05-01",
878       "type": "irn_global",
879       "severity": "info",
880       "title": "Indice de Risque Nogogo France",
881       "summary": "L'IRN France atteint 27.65/100 sur 3,268,355 entreprises actives scorées.",
882       "metric_name": "irn",
883       "metric_value": 27.65,
884       "scope_type": "national",
885       "scope_key": "FR"
886     },
887     {
888       "id": 95,
889       "period": "2026-05-01",
890       "type": "sector_high_risk",
891       "severity": "warning",
892       "title": "Secteur le plus à risque",
893       "summary": "Matériels de transport affiche l'IRN le plus élevé ce mois-ci (32.53/100).",
894       "metric_name": "irn",
895       "metric_value": 32.53,
896       "scope_type": "sector",
897       "scope_key": "industrie-transport"
898     },
899     {
900       "id": 96,
901       "period": "2026-05-01",
902       "type": "region_high_risk",
903       "severity": "warning",
904       "title": "Région la plus à risque",
905       "summary": "La Réunion présente l'IRN régional le plus élevé ce mois-ci (31.17/100).",
906       "metric_name": "irn",
907       "metric_value": 31.17,
908       "scope_type": "region",
909       "scope_key": "La Réunion"
910     },
911     {
912       "id": 97,
913       "period": "2026-05-01",
914       "type": "failure_signals",
915       "severity": "info",
916       "title": "Signaux faibles avant défaillance",
917       "summary": "17.13% des entreprises en redressement ou liquidation présentaient au moins un signal faible dans les 6 mois précédents.",
918       "metric_name": "pct_with_1_signal",
919       "metric_value": 17.13,
920       "scope_type": "national",
921       "scope_key": "FR"
922     }
923   ]
924 }

Récupère les derniers indicateurs agrégés du baromètre Nogogo.fr.

Le baromètre fournit des indicateurs agrégés fondés sur des données publiques d’entreprises françaises. Il est conçu pour le suivi de tendances, la contextualisation économique, l’analyse sectorielle et le support aux workflows B2B.

Cet endpoint retourne uniquement des données agrégées. Il ne fournit pas de notation légale, de notation de crédit réglementée, de certification, de recommandation, ni de décision automatisée sur une entreprise spécifique.

Données retournées possibles

period
title
kpis.irn
kpis.mom_irn_delta
kpis.avg_score_global
kpis.scored_companies_count
failures.total
failures.sauvegardes
failures.redressements
failures.liquidations
insights
top_sectors
top_regions

Certains champs peuvent être null

La disponibilité de certaines données peut dépendre de l’offre API utilisée.

Récupère les derniers indicateurs agrégés du baromètre Nogogo.fr. Le baromètre fournit des indicateurs agrégés fondés sur des données publiques d’entreprises françaises. Il est conçu pour le suivi de tendances, la contextualisation économique, l’analyse sectorielle et le support aux workflows B2B. Cet endpoint retourne uniquement des données agrégées. Il ne fournit pas de notation légale, de notation de crédit réglementée, de certification, de recommandation, ni de décision automatisée sur une entreprise spécifique. ## Données retournées possibles - `period` - `title` - `kpis.irn` - `kpis.mom_irn_delta` - `kpis.avg_score_global` - `kpis.scored_companies_count` - `failures.total` - `failures.sauvegardes` - `failures.redressements` - `failures.liquidations` - `insights` - `top_sectors` - `top_regions` Certains champs peuvent être `null` La disponibilité de certaines données peut dépendre de l’offre API utilisée.

Authentication

X-API-Keystring

API Key authentication via header

Response headers

x-units-consumedstring

x-cachestring

x-process-time-msstring

X-Frame-Optionsstring

X-Content-Type-Optionsstring

Referrer-Policystring

Strict-Transport-Securitystring

Permissions-Policystring

Response

perioddate

slugstring

titlestring

seo_titlestring

seo_descriptionstring

pdf_availableboolean

pdf_urlstring

published_atdatetime

kpisobject

risk_distributionobject

failuresobject

top_sectorslist of objects

bottom_sectorslist of objects

top_regionslist of objects

failure_signalsobject

insightslist of objects