Metric Intelligence
Capture, explore and analyze metrics data, identifying and indicating anomalies
Install Trend
View Install Data
| Date | Install Count | Change |
|---|---|---|
| 2026-09-09 | 0 | - |
| 134 days of no change | ||
| 2026-04-27 | 633 | -633 |
| 5 days of no change | ||
| 2026-04-21 | 632 | +1 |
| 5 days of no change | ||
| 2026-04-15 | 634 | -2 |
| 2026-04-14 | 635 | -1 |
| 2026-04-13 | 636 | -1 |
| 2026-04-12 | 637 | -1 |
| 1 days of no change | ||
| 2026-04-10 | 639 | -2 |
| 1 days of no change | ||
| 2026-04-08 | 640 | -1 |
| 2026-04-07 | 645 | -5 |
| 2026-04-06 | 649 | -4 |
| 2026-04-05 | 650 | -1 |
| 5 days of no change | ||
| 2026-03-30 | 653 | -3 |
| 2026-03-29 | 654 | -1 |
| 2026-03-28 | 655 | -1 |
| 1 days of no change | ||
| 2026-03-26 | 658 | -3 |
| 2026-03-25 | 660 | -2 |
| 1 days of no change | ||
| 2026-03-23 | 663 | -3 |
| 2026-03-22 | 665 | -2 |
| 50 days of no change | ||
| 2026-01-30 | 684 | -19 |
| 4 days of no change | ||
| 2026-01-25 | 685 | -1 |
| 51 days of no change | ||
| 2025-12-04 | 683 | +2 |
| 2025-12-03 | 681 | +2 |
| 2025-12-02 | 680 | +1 |
| 2025-12-01 | 679 | +1 |
| 2 days of no change | ||
| 2025-11-28 | 676 | +3 |
| 1 days of no change | ||
| 2025-11-26 | 673 | +3 |
| 2025-11-25 | 670 | +3 |
| 2025-11-24 | 669 | +1 |
| 2 days of no change | ||
| 2025-11-21 | 666 | +3 |
| 2025-11-20 | 665 | +1 |
| 2025-11-19 | 663 | +2 |
| 2025-11-18 | 662 | +1 |
| 2025-11-17 | 661 | +1 |
| 2 days of no change | ||
| 2025-11-14 | 658 | +3 |
| 2025-11-13 | 657 | +1 |
| 2025-11-12 | 653 | +4 |
| 2025-11-11 | 651 | +2 |
| 1 days of no change | ||
| 2025-11-09 | 649 | +2 |
| 1 days of no change | ||
| 2025-11-07 | 647 | +2 |
| 2025-11-06 | 646 | +1 |
| 2025-11-05 | 642 | +4 |
| 1 days of no change | ||
| 2025-11-03 | 641 | +1 |
| 2 days of no change | ||
| 2025-10-31 | 639 | +2 |
| 2025-10-30 | 638 | +1 |
| 2025-10-29 | 636 | +2 |
| 2025-10-28 | 634 | +2 |
| 2025-10-27 | 631 | +3 |
| 1 days of no change | ||
| 2025-10-25 | 630 | +1 |
| 2025-10-24 | 629 | +1 |
| 2025-10-23 | 628 | +1 |
| 2025-10-22 | 627 | +1 |
| 2025-10-21 | 626 | +1 |
| 2025-10-20 | 624 | +2 |
| 2025-10-19 | 620 | +4 |
| 1 days of no change | ||
| 2025-10-17 | 618 | +2 |
| 2025-10-16 | 616 | +2 |
| 2025-10-15 | 608 | +8 |
| 2025-10-14 | 607 | +1 |
| 1 days of no change | ||
| 2025-10-12 | 605 | +2 |
| 2025-10-11 | 603 | +2 |
| 2025-10-10 | 601 | +2 |
| 2025-10-09 | 599 | +2 |
| 2025-10-08 | 597 | +2 |
| 2025-10-07 | 596 | +1 |
| 2025-10-06 | 593 | +3 |
| 2025-10-05 | 591 | +2 |
| 2025-10-04 | 590 | +1 |
| 1 days of no change | ||
| 2025-10-02 | 588 | +2 |
| 1 days of no change | ||
| 2025-09-30 | 587 | +1 |
| 2025-09-29 | 584 | +3 |
| 2025-09-28 | 583 | +1 |
| 1 days of no change | ||
| 2025-09-26 | 582 | +1 |
| 2 days of no change | ||
| 2025-09-23 | 581 | +1 |
| 2025-09-22 | 578 | +3 |
| 2025-09-21 | 577 | +1 |
| 2025-09-20 | 576 | +1 |
| 1 days of no change | ||
| 2025-09-18 | 573 | +3 |
| 2025-09-17 | 572 | +1 |
| 2025-09-16 | 571 | +1 |
| 2025-09-15 | 569 | +2 |
| 2025-09-14 | 564 | +5 |
| 2 days of no change | ||
| 2025-09-11 | 563 | +1 |
| 2025-09-10 | 562 | +1 |
| 2025-09-09 | 556 | +6 |
| 2025-09-08 | 555 | +1 |
| 2025-09-07 | 552 | +3 |
| 1 days of no change | ||
| 2025-09-05 | 551 | +1 |
| 2025-09-04 | 547 | +4 |
| 2025-09-03 | 542 | +5 |
| 1 days of no change | ||
| 2025-09-01 | 541 | +1 |
| 2025-08-31 | 539 | +2 |
| 2025-08-30 | 538 | +1 |
| 1 days of no change | ||
| 2025-08-28 | 536 | +2 |
| 2025-08-27 | 534 | +2 |
| 2025-08-26 | 531 | +3 |
| 2025-08-25 | 528 | +3 |
| 2025-08-24 | 527 | +1 |
| 2025-08-23 | 525 | +2 |
| 2025-08-22 | 523 | +2 |
| 2025-08-21 | 521 | +2 |
| 2025-08-20 | 519 | +2 |
| 2025-08-19 | 514 | +5 |
| 2025-08-18 | 512 | +2 |
| 5 days of no change | ||
| 2025-08-12 | 510 | +2 |
| 2025-08-11 | 508 | +2 |
| 2025-08-10 | 505 | +3 |
| 2 days of no change | ||
| 2025-08-07 | 504 | +1 |
| 1 days of no change | ||
| 2025-08-05 | 502 | +2 |
| 2025-08-04 | 500 | +2 |
| 2025-08-03 | 498 | +2 |
| 2 days of no change | ||
| 2025-07-31 | 496 | +2 |
| 2025-07-30 | 494 | +2 |
| 2025-07-29 | 492 | +2 |
| 2025-07-28 | 488 | +4 |
| 2025-07-27 | 486 | +2 |
| 2 days of no change | ||
| 2025-07-24 | 484 | +2 |
| 2025-07-23 | 482 | +2 |
| 2025-07-22 | 477 | +5 |
| 2025-07-21 | 473 | +4 |
| 2025-07-20 | 471 | +2 |
| 1 days of no change | ||
| 2025-07-18 | 469 | +2 |
| 2025-07-17 | 466 | +3 |
| 2025-07-16 | 464 | +2 |
| 2025-07-15 | 461 | +3 |
| 2025-07-14 | 456 | +5 |
| 3 days of no change | ||
| 2025-07-10 | 452 | +4 |
| 2025-07-09 | 449 | +3 |
| 1 days of no change | ||
| 2025-07-07 | 446 | +3 |
| 2025-07-06 | 445 | +1 |
| 1 days of no change | ||
| 2025-07-04 | 444 | +1 |
| 2025-07-03 | 443 | +1 |
| 1 days of no change | ||
| 2025-07-01 | 442 | +1 |
| 2025-06-30 | 440 | +2 |
| 2025-06-29 | 439 | +1 |
| 1 days of no change | ||
| 2025-06-27 | 437 | +2 |
| 2025-06-26 | 436 | +1 |
| 2025-06-25 | 434 | +2 |
| 2025-06-24 | 433 | +1 |
| 1 days of no change | ||
| 2025-06-22 | 432 | +1 |
| 2025-06-21 | 431 | +1 |
| 2025-06-20 | 430 | +1 |
| 2 days of no change | ||
| 2025-06-17 | 428 | +2 |
| 2025-06-16 | 425 | +3 |
| 2025-06-15 | 424 | +1 |
| 1 days of no change | ||
| 2025-06-13 | 422 | +2 |
| 2025-06-12 | 420 | +2 |
| 2025-06-11 | 419 | +1 |
| 2025-06-10 | 418 | +1 |
| 2025-06-09 | 417 | +1 |
| 2025-06-08 | 415 | +2 |
| 2025-06-07 | 413 | +2 |
| 2025-06-06 | 412 | +1 |
| 2025-06-05 | 409 | +3 |
| 1 days of no change | ||
| 2025-06-03 | 406 | +3 |
| 2025-06-02 | 405 | +1 |
| 2025-06-01 | 402 | +3 |
| 2025-05-31 | 401 | +1 |
| 2025-05-30 | 399 | +2 |
| 2025-05-29 | 397 | +2 |
| 2025-05-28 | 396 | +1 |
| 2025-05-27 | 393 | +3 |
| 1 days of no change | ||
| 2025-05-25 | 391 | +2 |
| 1 days of no change | ||
| 2025-05-23 | 388 | +3 |
| 2025-05-22 | 385 | +3 |
| 2025-05-21 | 382 | +3 |
| 2025-05-20 | 380 | +2 |
| 2025-05-19 | 379 | +1 |
| 2 days of no change | ||
| 2025-05-16 | 376 | +3 |
| 2025-05-15 | 375 | +1 |
| 2025-05-14 | 374 | +1 |
| 1 days of no change | ||
| 2025-05-12 | 369 | +5 |
| 2025-05-11 | 368 | +1 |
| 1 days of no change | ||
| 2025-05-09 | 365 | +3 |
| 2025-05-08 | 364 | +1 |
| 2025-05-07 | 363 | +1 |
| 2025-05-06 | 360 | +3 |
| 2025-05-05 | 359 | +1 |
| 2 days of no change | ||
| 2025-05-02 | 356 | +3 |
| 2025-05-01 | 351 | +5 |
| 1 days of no change | ||
| 2025-04-29 | 349 | +2 |
| 2025-04-28 | 347 | +2 |
| 1 days of no change | ||
| 2025-04-26 | 345 | +2 |
| 2025-04-25 | 342 | +3 |
| 2025-04-24 | 341 | +1 |
| 2025-04-23 | 336 | +5 |
| 2025-04-22 | 333 | +3 |
| 3 days of no change | ||
| 2025-04-18 | 331 | +2 |
| 2025-04-17 | 328 | +3 |
| 2025-04-16 | 326 | +2 |
| 1 days of no change | ||
| 2025-04-14 | 324 | +2 |
| 2025-04-13 | 323 | +1 |
| 1 days of no change | ||
| 2025-04-11 | 322 | +1 |
| 2025-04-10 | 321 | +1 |
| 3 days of no change | ||
| 2025-04-06 | 314 | +7 |
| 2025-04-05 | 312 | +2 |
| 2025-04-04 | 309 | +3 |
| 1 days of no change | ||
| 2025-04-02 | 305 | +4 |
| 2025-04-01 | 302 | +3 |
| 2025-03-31 | 300 | +2 |
| 2025-03-30 | 299 | +1 |
| 2025-03-29 | 298 | +1 |
| 2025-03-28 | 297 | +1 |
| 2025-03-27 | 294 | +3 |
| 2025-03-26 | 293 | +1 |
| 2025-03-25 | 292 | +1 |
| 1 days of no change | ||
| 2025-03-23 | 285 | +7 |
| 2025-03-22 | 284 | +1 |
| 2025-03-21 | 283 | +1 |
| 2 days of no change | ||
| 2025-03-18 | 275 | +8 |
| 2025-03-17 | 273 | +2 |
| 2025-03-16 | 271 | +2 |
| 2025-03-15 | 270 | +1 |
| 2025-03-14 | 268 | +2 |
| 2025-03-13 | 261 | +7 |
| 2025-03-12 | 260 | +1 |
| 2025-03-11 | 257 | +3 |
| 1 days of no change | ||
| 2025-03-09 | 255 | +2 |
| 2 days of no change | ||
| 2025-03-06 | 253 | +2 |
| 2025-03-05 | 252 | +1 |
| 2025-03-04 | 249 | +3 |
| 2025-03-03 | 247 | +2 |
| 2025-03-02 | 246 | +1 |
| 2 days of no change | ||
| 2025-02-27 | 244 | +2 |
| 2025-02-26 | 239 | +5 |
| 2025-02-25 | 234 | +5 |
| 2025-02-24 | 230 | +4 |
| 2025-02-23 | 229 | +1 |
| 2025-02-22 | 228 | +1 |
| 2025-02-21 | 226 | +2 |
| 2025-02-20 | 225 | +1 |
| 2025-02-19 | 223 | +2 |
About
ServiceNow® Metric Intelligence, as part of Agent Client Collector Monitoring, provides the ability to capture, explore and analyze application metrics data, identifying and indicating anomalies. Metric Intelligence generates anomaly alerts which can be promoted to IT alerts and appear on the Service Operations Workspace and Service Health dashboard. You can leverage this analysis to prevent potential service outages.
Metric Intelligence benefits are:
- **Pinpoint disruptions quickly ** by analyzing rich data about your infrastructure performance.
- **Improve productivity ** by automatically creating event rules and thresholds to show existing anomalies.
- **Deliver an intuitive experience** through visualizing infrastructure performance by searching multiple CIs that have the same issues.
Key Features
- Choose metrics for anomaly detection
- Anomaly alert promotion
- Identify control bounds for metrics, including support for seasonality
- Anomaly scoring and severity mapping
- Anomaly alert explanations
- Static threshold support